Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
capture_id: string
evaluation_mode: string
forward_steps: int64
geometry: string
hardware_tier: string
kernel_summary: struct<by_accelerator_core: string, top_op_types: list<item: struct<core: string, count: int64, tota (... 151 chars omitted)
  child 0, by_accelerator_core: string
  child 1, top_op_types: list<item: struct<core: string, count: int64, total_us: double, type: string, max_us: double, mean_u (... 40 chars omitted)
      child 0, item: struct<core: string, count: int64, total_us: double, type: string, max_us: double, mean_us: double,  (... 28 chars omitted)
          child 0, core: string
          child 1, count: int64
          child 2, total_us: double
          child 3, type: string
          child 4, max_us: double
          child 5, mean_us: double
          child 6, min_us: double
          child 7, pct: double
  child 2, total_kernel_duration_us: double
  child 3, total_kernel_rows: int64
model_case: string
observed_ms: double
operator_modeling: struct<by_accelerator_core: string, canonical_families: struct<attention: struct<observed_ms: double (... 1715 chars omitted)
  child 0, by_accelerator_core: string
  child 1, canonical_families: struct<attention: struct<observed_ms: double, predicted_ms: double, relative_error: double>, collect (... 509 chars omitted)
      child 0, attention: struct<observed_ms: double, predicted_ms: double, relative_error: double>
          child 0, observed_ms: double
          child 1, predicted_ms: double
          child 2, 
...
ved_ms: double
          child 1, predicted_ms: double
          child 2, relative_error: double
      child 5, norm_activation_elementwise: struct<observed_ms: double, predicted_ms: double, relative_error: double>
          child 0, observed_ms: double
          child 1, predicted_ms: double
          child 2, relative_error: double
passed_10pct: bool
passed_15pct: bool
phase: string
predicted_ms: double
relative_error: double
source_calibration: struct<evaluation_relation: string, target_timing_used_to_fit: bool>
  child 0, evaluation_relation: string
  child 1, target_timing_used_to_fit: bool
status: string
structural_inference: struct<fused_composites: int64, has_speculative_decoding: bool, inferred_steps: int64, schema: strin (... 28 chars omitted)
  child 0, fused_composites: int64
  child 1, has_speculative_decoding: bool
  child 2, inferred_steps: int64
  child 3, schema: string
  child 4, total_body_layers: int64
suite: string
target_timing_used_to_fit: bool
per_layer: null
layer_summary: null
chunk_count: int64
traits: struct<cell: string, cohort: string, concurrency: int64, context_tokens: int64, dp: int64, ep: int64 (... 94 chars omitted)
  child 0, cell: string
  child 1, cohort: string
  child 2, concurrency: int64
  child 3, context_tokens: int64
  child 4, dp: int64
  child 5, ep: int64
  child 6, family: string
  child 7, is_eager: bool
  child 8, phase: string
  child 9, spec_tokens: int64
  child 10, suite: string
  child 11, tp: int64
source_sha256: string
to
{'capture_id': Value('string'), 'chunk_count': Value('int64'), 'evaluation_mode': Value('string'), 'forward_steps': Value('int64'), 'geometry': Json(decode=True), 'hardware_tier': Value('string'), 'kernel_summary': {'by_accelerator_core': Json(decode=True), 'top_op_types': List({'core': Value('string'), 'count': Value('int64'), 'total_us': Value('float64'), 'type': Value('string')}), 'total_kernel_duration_us': Value('float64'), 'total_kernel_rows': Value('int64')}, 'model_case': Value('string'), 'observed_ms': Value('float64'), 'operator_modeling': {'by_accelerator_core': Json(decode=True), 'canonical_families': {'attention': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'collective': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'elementwise_quant': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'gemm': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'kv_cache': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'moe': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'norm_residual': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}}, 'families': {'attention_mla': {'observed_ms': Valu
...
': Value('float64'), 'relative_error': Value('float64')}, 'collective_comm': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'kv_cache_position_rope': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'matmul_gemm': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'moe_routing_grouped_gemm': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'norm_activation_elementwise': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}}}, 'passed_10pct': Value('bool'), 'passed_15pct': Value('bool'), 'per_layer': Json(decode=True), 'phase': Value('string'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64'), 'source_calibration': {'evaluation_relation': Value('string'), 'target_timing_used_to_fit': Value('bool')}, 'source_sha256': Value('string'), 'status': Value('string'), 'suite': Value('string'), 'target_timing_used_to_fit': Value('bool'), 'layer_summary': Json(decode=True), 'traits': {'cell': Value('string'), 'cohort': Value('string'), 'concurrency': Value('int64'), 'context_tokens': Value('int64'), 'dp': Value('int64'), 'ep': Value('int64'), 'family': Value('string'), 'is_eager': Value('bool'), 'phase': Value('string'), 'spec_tokens': Value('int64'), 'suite': Value('string'), 'tp': Value('int64')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              capture_id: string
              evaluation_mode: string
              forward_steps: int64
              geometry: string
              hardware_tier: string
              kernel_summary: struct<by_accelerator_core: string, top_op_types: list<item: struct<core: string, count: int64, tota (... 151 chars omitted)
                child 0, by_accelerator_core: string
                child 1, top_op_types: list<item: struct<core: string, count: int64, total_us: double, type: string, max_us: double, mean_u (... 40 chars omitted)
                    child 0, item: struct<core: string, count: int64, total_us: double, type: string, max_us: double, mean_us: double,  (... 28 chars omitted)
                        child 0, core: string
                        child 1, count: int64
                        child 2, total_us: double
                        child 3, type: string
                        child 4, max_us: double
                        child 5, mean_us: double
                        child 6, min_us: double
                        child 7, pct: double
                child 2, total_kernel_duration_us: double
                child 3, total_kernel_rows: int64
              model_case: string
              observed_ms: double
              operator_modeling: struct<by_accelerator_core: string, canonical_families: struct<attention: struct<observed_ms: double (... 1715 chars omitted)
                child 0, by_accelerator_core: string
                child 1, canonical_families: struct<attention: struct<observed_ms: double, predicted_ms: double, relative_error: double>, collect (... 509 chars omitted)
                    child 0, attention: struct<observed_ms: double, predicted_ms: double, relative_error: double>
                        child 0, observed_ms: double
                        child 1, predicted_ms: double
                        child 2, 
              ...
              ved_ms: double
                        child 1, predicted_ms: double
                        child 2, relative_error: double
                    child 5, norm_activation_elementwise: struct<observed_ms: double, predicted_ms: double, relative_error: double>
                        child 0, observed_ms: double
                        child 1, predicted_ms: double
                        child 2, relative_error: double
              passed_10pct: bool
              passed_15pct: bool
              phase: string
              predicted_ms: double
              relative_error: double
              source_calibration: struct<evaluation_relation: string, target_timing_used_to_fit: bool>
                child 0, evaluation_relation: string
                child 1, target_timing_used_to_fit: bool
              status: string
              structural_inference: struct<fused_composites: int64, has_speculative_decoding: bool, inferred_steps: int64, schema: strin (... 28 chars omitted)
                child 0, fused_composites: int64
                child 1, has_speculative_decoding: bool
                child 2, inferred_steps: int64
                child 3, schema: string
                child 4, total_body_layers: int64
              suite: string
              target_timing_used_to_fit: bool
              per_layer: null
              layer_summary: null
              chunk_count: int64
              traits: struct<cell: string, cohort: string, concurrency: int64, context_tokens: int64, dp: int64, ep: int64 (... 94 chars omitted)
                child 0, cell: string
                child 1, cohort: string
                child 2, concurrency: int64
                child 3, context_tokens: int64
                child 4, dp: int64
                child 5, ep: int64
                child 6, family: string
                child 7, is_eager: bool
                child 8, phase: string
                child 9, spec_tokens: int64
                child 10, suite: string
                child 11, tp: int64
              source_sha256: string
              to
              {'capture_id': Value('string'), 'chunk_count': Value('int64'), 'evaluation_mode': Value('string'), 'forward_steps': Value('int64'), 'geometry': Json(decode=True), 'hardware_tier': Value('string'), 'kernel_summary': {'by_accelerator_core': Json(decode=True), 'top_op_types': List({'core': Value('string'), 'count': Value('int64'), 'total_us': Value('float64'), 'type': Value('string')}), 'total_kernel_duration_us': Value('float64'), 'total_kernel_rows': Value('int64')}, 'model_case': Value('string'), 'observed_ms': Value('float64'), 'operator_modeling': {'by_accelerator_core': Json(decode=True), 'canonical_families': {'attention': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'collective': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'elementwise_quant': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'gemm': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'kv_cache': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'moe': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'norm_residual': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}}, 'families': {'attention_mla': {'observed_ms': Valu
              ...
              ': Value('float64'), 'relative_error': Value('float64')}, 'collective_comm': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'kv_cache_position_rope': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'matmul_gemm': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'moe_routing_grouped_gemm': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}, 'norm_activation_elementwise': {'observed_ms': Value('float64'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64')}}}, 'passed_10pct': Value('bool'), 'passed_15pct': Value('bool'), 'per_layer': Json(decode=True), 'phase': Value('string'), 'predicted_ms': Value('float64'), 'relative_error': Value('float64'), 'source_calibration': {'evaluation_relation': Value('string'), 'target_timing_used_to_fit': Value('bool')}, 'source_sha256': Value('string'), 'status': Value('string'), 'suite': Value('string'), 'target_timing_used_to_fit': Value('bool'), 'layer_summary': Json(decode=True), 'traits': {'cell': Value('string'), 'cohort': Value('string'), 'concurrency': Value('int64'), 'context_tokens': Value('int64'), 'dp': Value('int64'), 'ep': Value('int64'), 'family': Value('string'), 'is_eager': Value('bool'), 'phase': Value('string'), 'spec_tokens': Value('int64'), 'suite': Value('string'), 'tp': Value('int64')}}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

capture_id
string
chunk_count
int64
evaluation_mode
string
forward_steps
int64
geometry
unknown
hardware_tier
string
kernel_summary
dict
model_case
string
observed_ms
float64
operator_modeling
dict
passed_10pct
bool
passed_15pct
bool
per_layer
unknown
phase
string
predicted_ms
float64
relative_error
float64
source_calibration
dict
source_sha256
string
status
string
suite
string
target_timing_used_to_fit
bool
layer_summary
unknown
traits
dict
registered_decode:glm53flash-a3-tp16-c4-livepre
0
zero_shot_structure_pipeline
73
{ "active_hbm_mb": 104000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 16, "phase": "decode", "query_rows": 24, "sequences_per_replica": 4, "structural_weights": [ 0.1587579506, 0.2910...
A3
{ "by_accelerator_core": { "AI_CORE": 344228.56, "AI_CPU": 34399.27, "AI_VECTOR_CORE": 599165.67, "MIX_AIC": 854311.49, "MIX_AIV": 340491.82 }, "top_op_types": [ { "core": "AI_CORE", "count": 19096, "total_us": 235529.5, "type": "MatMulV2" }, { "core":...
cases/decode-glm53flash-a3-tp16-c4-livepre.json
29.7616
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 4.7154597265, "predicted_ms": 4.8068952239, "relative_error": 0.01939058 }, "AI_VECTOR_CORE": { "observed_ms": 8.6789717817, "predicted_ms": 8.8119436638, "relative_error": 0.01532116 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 42 }
decode
30.2623
0.016824
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
5588b1d2952c55eae07e47f6c16de349e2b6fe95e370a8b060be041b5bab83ec
compared
registered_decode
false
null
null
registered_decode:glm53flash-a3-tp16-c16-livepre
0
zero_shot_structure_pipeline
108
{ "active_hbm_mb": 105000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 16, "phase": "decode", "query_rows": 96, "sequences_per_replica": 16, "structural_weights": [ 0.13641708600000002, ...
A3
{ "by_accelerator_core": { "AI_CORE": 603865.18, "AI_CPU": 166212.42, "AI_VECTOR_CORE": 1156977.56, "MIX_AIC": 1983304.62, "MIX_AIV": 525103.02 }, "top_op_types": [ { "core": "MIX_AIC", "count": 1792, "total_us": 633641.22, "type": "KvQuantSparseFlashAttentionVllm" ...
cases/decode-glm53flash-a3-tp16-c16-livepre.json
41.0691
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 5.5913442593, "predicted_ms": 6.0494503054, "relative_error": 0.08193129 }, "AI_VECTOR_CORE": { "observed_ms": 12.2517590741, "predicted_ms": 13.2026450827, "relative_error": 0.07761219999999999 }, "COMMUNIC...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 33 }
decode
44.3023
0.078726
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
716c23ec3bd65ad22b6dbedfc2b0ef15dff60a77873eb6b90f5dae9a55183d6a
compared
registered_decode
false
null
null
registered_decode:glm53flash-a3-tp16-c2
0
zero_shot_structure_pipeline
58
{ "active_hbm_mb": 119000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 12, "sequences_per_replica": 2, "structural_weights": [ 0.0761367498, 0.69048...
A3
{ "by_accelerator_core": { "AI_CORE": 150364.23, "AI_CPU": 1066542.65, "AI_VECTOR_CORE": 302573.97, "DSA_SQE": 25.53, "MIX_AIC": 369201.3, "MIX_AIV": 90165.32 }, "top_op_types": [ { "core": "AI_CPU", "count": 6466, "total_us": 714025.73, "type": "allreduceAicpuK...
cases/decode-glm53flash-a3-tp16-c2.json
34.1185
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.5924867241, "predicted_ms": 2.4162481743, "relative_error": 0.0679805 }, "AI_VECTOR_CORE": { "observed_ms": 23.6054589655, "predicted_ms": 21.9129206696, "relative_error": 0.07170114 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 41 }
decode
31.6873
0.071258
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
ba2ee6f17a186aa81de0f2ac414c405e88eeb85f80845b4d00871c61f743ce1e
compared
registered_decode
false
null
null
registered_decode:glm53flash-a3-tp16-c4
0
zero_shot_structure_pipeline
61
{ "active_hbm_mb": 127000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 24, "sequences_per_replica": 4, "structural_weights": [ 0.0723986726, 0.65208...
A3
{ "by_accelerator_core": { "AI_CORE": 175600.69, "AI_CPU": 1209086.59, "AI_VECTOR_CORE": 378857.94, "DSA_SQE": 27.51, "MIX_AIC": 568946.19, "MIX_AIV": 97800.38 }, "top_op_types": [ { "core": "AI_CPU", "count": 6890, "total_us": 788982.38, "type": "allreduceAicpu...
cases/decode-glm53flash-a3-tp16-c4.json
39.8413
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.8786998361, "predicted_ms": 2.6797239727, "relative_error": 0.06912005 }, "AI_VECTOR_CORE": { "observed_ms": 26.031877541, "predicted_ms": 24.1358162453, "relative_error": 0.07283613 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 42 }
decode
36.9532
0.07249
{ "evaluation_relation": "not_declared", "target_timing_used_to_fit": false }
f32ebba6da0e3b2af9d801bd85ed41f1341dc315e35abfd85a7424b26c70129f
compared
registered_decode
false
null
null
registered_decode:glm53flash-a5-tp8-c3
0
zero_shot_structure_pipeline
53
{ "active_hbm_mb": 42100, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 16, "sequences_per_replica": 4, "structural_weights": [ 0.11165342460000001, 0...
A5
{ "by_accelerator_core": { "AI_CORE": 124420.86, "AI_CPU": 437284.11, "AI_VECTOR_CORE": 230339.58, "MIX_AIC": 260614.1, "MIX_AIV": 63918.85 }, "top_op_types": [ { "core": "AI_CPU", "count": 5300, "total_us": 413841.54, "type": "HcclLaunchAicpuKernel" }, { ...
cases/decode-glm53flash-a5-tp8-c3.json
21.0675
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.3475633962, "predicted_ms": 2.3282374525, "relative_error": 0.00823234 }, "AI_VECTOR_CORE": { "observed_ms": 12.5966733962, "predicted_ms": 12.4431011295, "relative_error": 0.012191490000000001 }, "COMMUNI...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 43 }
decode
20.8245
0.011534
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
b53a6aa7c05c3ed8e17adcb3356e0ba573a6bd3cd305fa3853d55da60852bd90
compared
registered_decode
false
null
null
registered_decode:glm53flash-a5-tp8-c96
0
zero_shot_structure_pipeline
27
{ "active_hbm_mb": 28200, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 384, "sequences_per_replica": 96, "structural_weights": [ 0.1460122386, 0.6027...
A5
{ "by_accelerator_core": { "AI_CORE": 226584.46, "AI_CPU": 484830.03, "AI_VECTOR_CORE": 454291.6, "MIX_AIC": 323038.07, "MIX_AIV": 66177.75 }, "top_op_types": [ { "core": "AI_CPU", "count": 2700, "total_us": 456609.49, "type": "HcclLaunchAicpuKernel" }, { ...
cases/decode-glm53flash-a5-tp8-c96.json
57.5897
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 8.392017037, "predicted_ms": 9.0692246782, "relative_error": 0.08069665 }, "AI_VECTOR_CORE": { "observed_ms": 34.7822825924, "predicted_ms": 37.4390399201, "relative_error": 0.07638249 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 43 }
decode
62.0327
0.077149
{ "evaluation_relation": "not_declared", "target_timing_used_to_fit": false }
097fe7ff85e68bf79c3bac0e35b03d5192618b6f63ea9772216263cc62901c4c
compared
registered_decode
false
null
null
registered_decode:glm53flash-a5-tp8-c1
0
zero_shot_structure_pipeline
65
{ "active_hbm_mb": 36100, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 4, "sequences_per_replica": 1, "structural_weights": [ 0.0897874376, 0.6632199...
A5
{ "by_accelerator_core": { "AI_CORE": 91347.92, "AI_CPU": 454240.15, "AI_VECTOR_CORE": 223210.83, "MIX_AIC": 181046.72, "MIX_AIV": 69568.88 }, "top_op_types": [ { "core": "AI_CPU", "count": 6500, "total_us": 429023.82, "type": "HcclLaunchAicpuKernel" }, { ...
cases/decode-glm53flash-a5-tp8-c1.json
15.6833
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 1.4053526154, "predicted_ms": 1.3910087496, "relative_error": 0.0102066 }, "AI_VECTOR_CORE": { "observed_ms": 10.422322769200001, "predicted_ms": 10.2747649135, "relative_error": 0.01415787 }, "COMMUNICATION...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 42 }
decode
15.4724
0.013447
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
2bf66f59e2f30688aace98458c8c02cf6da2095922b694d468df08dcc056dc02
compared
registered_decode
false
null
null
registered_decode:a5_kimi_k3_p32768_c1
0
zero_shot_structure_pipeline
63
{ "active_hbm_mb": 21600, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 32768, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 1, "sequences_per_replica": 1, "structural_weights": [ 0.1349386323, 0.346301...
A5
{ "by_accelerator_core": { "AI_CORE": 276206.25, "AI_CPU": 293870.89, "AI_VECTOR_CORE": 417816.11, "MIX_AIC": 930831.07, "MIX_AIV": 132272.18 }, "top_op_types": [ { "core": "MIX_AIC", "count": 1104, "total_us": 252053.45, "type": "ChunkKdaFwd" }, { "co...
cases/decode-a5_kimi_k3_p32768_c1.json
32.5555
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 4.3842261905, "predicted_ms": 4.3438734781, "relative_error": 0.00920407 }, "AI_VECTOR_CORE": { "observed_ms": 11.2966190476, "predicted_ms": 11.1479629926, "relative_error": 0.01315934 }, "COMMUNICATION": {...
true
true
{ "compared_layers": 93, "declared_layers": 93, "observed_layers": 93, "passed_layers": 91 }
decode
32.1462
0.012572
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
ad8472caf852a2cb11eaf35cf30c50ce99d9ab2a2a684946b9f5ff904f20d1d2
compared
registered_decode
false
null
null
registered_decode:v4flash-a3-tp8-c4
0
zero_shot_structure_pipeline
108
{ "active_hbm_mb": 82300, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 8, "sequences_per_replica": 4, "structural_weights": [ 0.0769729667, 0.2676569...
A3
{ "by_accelerator_core": { "AI_CORE": 269519.69, "AI_CPU": 1123296.7, "AI_VECTOR_CORE": 758609.58, "DSA_SQE": 39.03, "MIX_AIC": 1200710.55, "MIX_AIV": 156312.44 }, "top_op_types": [ { "core": "AI_CPU", "count": 10350, "total_us": 659557.63, "type": "allreduceAic...
cases/decode-v4flash-a3-tp8-c4.json
32.486
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.4955526854, "predicted_ms": 2.3253336701, "relative_error": 0.06820894 }, "AI_VECTOR_CORE": { "observed_ms": 17.4250581495, "predicted_ms": 16.2122071627, "relative_error": 0.06960384 }, "COMMUNICATION": {...
true
true
{ "compared_layers": 43, "declared_layers": 43, "observed_layers": 43, "passed_layers": 41 }
decode
30.1994
0.070387
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
986128397e536d321fdfa1605f4f935cded1a15fc66da3d97da75c26d043ed30
compared
registered_decode
false
null
null
registered_decode:v4flash-a3-tp8-c8
0
zero_shot_structure_pipeline
111
{ "active_hbm_mb": 82300, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 16, "sequences_per_replica": 8, "structural_weights": [ 0.0737208092, 0.248372...
A3
{ "by_accelerator_core": { "AI_CORE": 308399.02, "AI_CPU": 1119896.36, "AI_VECTOR_CORE": 966482.65, "DSA_SQE": 35.44, "MIX_AIC": 1679966.48, "MIX_AIV": 116924.15 }, "top_op_types": [ { "core": "AI_CPU", "count": 10890, "total_us": 627792.05, "type": "allreduceAi...
cases/decode-v4flash-a3-tp8-c8.json
37.7631
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.7783695495, "predicted_ms": 2.5893807844, "relative_error": 0.06802146 }, "AI_VECTOR_CORE": { "observed_ms": 18.7962072973, "predicted_ms": 17.4914377087, "relative_error": 0.06941664 }, "COMMUNICATION": {...
true
true
{ "compared_layers": 43, "declared_layers": 43, "observed_layers": 43, "passed_layers": 43 }
decode
35.1016
0.070479
{ "evaluation_relation": "not_declared", "target_timing_used_to_fit": false }
29dc679872bdacaf813511daff39807cf9a4ca4427625b07d8a95df211e18104
compared
registered_decode
false
null
null
registered_decode:a3_glm53_dc4k_b1
0
zero_shot_structure_pipeline
74
{ "active_hbm_mb": 93400, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 1, "sequences_per_replica": 1, "structural_weights": [ 0.0565488587, 0.4946174...
A3
{ "by_accelerator_core": { "AI_CORE": 162685.49, "AI_CPU": 1171919.18, "AI_VECTOR_CORE": 256749.7, "COMMUNICATION": 179040.32, "MIX_AIC": 1070436.13, "MIX_AIV": 41824.37 }, "top_op_types": [ { "core": "AI_CPU", "count": 11618, "total_us": 1164231.31, "type": "al...
cases/decode-a3_glm53_dc4k_b1.json
38.9548
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.1984525673, "predicted_ms": 2.1544898881, "relative_error": 0.0199971 }, "AI_VECTOR_CORE": { "observed_ms": 19.3063362138, "predicted_ms": 18.8447354462, "relative_error": 0.02390929 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 78, "declared_layers": 78, "observed_layers": 78, "passed_layers": 78 }
decode
38.0409
0.023461
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
98289ffd50f1b058e5a070be6cec7f7e3d3f245792455602a7faf1ab89bb29b1
compared
registered_decode
false
null
null
registered_decode:a3_glm53_dc4k_b2
0
zero_shot_structure_pipeline
70
{ "active_hbm_mb": 93400, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 2, "sequences_per_replica": 2, "structural_weights": [ 0.0557443845, 0.4842908...
A3
{ "by_accelerator_core": { "AI_CORE": 159549.83, "AI_CPU": 1129858.78, "AI_VECTOR_CORE": 261818.95, "COMMUNICATION": 176396.41, "MIX_AIC": 1093863.9, "MIX_AIV": 46405.12 }, "top_op_types": [ { "core": "AI_CPU", "count": 10990, "total_us": 1122441.51, "type": "al...
cases/decode-a3_glm53_dc4k_b2.json
40.9699
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.2792832859, "predicted_ms": 2.2196332013, "relative_error": 0.02617054 }, "AI_VECTOR_CORE": { "observed_ms": 19.88111043, "predicted_ms": 19.2835222794, "relative_error": 0.03005809 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 78, "declared_layers": 78, "observed_layers": 78, "passed_layers": 78 }
decode
39.7565
0.029617
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
8ef7c8d15d0cf3c83b8e029d92983e543beeea2fc99572dc6c9a83a5892469e4
compared
registered_decode
false
null
null
registered_decode:a3_glm53_dc4k_b4
0
zero_shot_structure_pipeline
67
{ "active_hbm_mb": 92800, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 4, "sequences_per_replica": 4, "structural_weights": [ 0.0542597882, 0.4729120...
A3
{ "by_accelerator_core": { "AI_CORE": 157598.47, "AI_CPU": 1107268.12, "AI_VECTOR_CORE": 271818.19, "COMMUNICATION": 157645.09, "MIX_AIC": 1167381.4, "MIX_AIV": 48614.63 }, "top_op_types": [ { "core": "AI_CPU", "count": 10519, "total_us": 1099956.08, "type": "al...
cases/decode-a3_glm53_dc4k_b4.json
43.4377
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.3522159701, "predicted_ms": 2.3335183255, "relative_error": 0.00794895 }, "AI_VECTOR_CORE": { "observed_ms": 20.5833777612, "predicted_ms": 20.3382455278, "relative_error": 0.01190923 }, "COMMUNICATION": {...
true
true
{ "compared_layers": 78, "declared_layers": 78, "observed_layers": 78, "passed_layers": 78 }
decode
42.9365
0.011538
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
0bc83b76a9e362f907280c7f7cb8be53b9b72c845e9183563a20f81257d4989d
compared
registered_decode
false
null
null
registered_decode:a3_glm53_dc4k_b8
0
zero_shot_structure_pipeline
61
{ "active_hbm_mb": 82000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 8, "sequences_per_replica": 8, "structural_weights": [ 0.0524376728, 0.4578907...
A3
{ "by_accelerator_core": { "AI_CORE": 150400.42, "AI_CPU": 1036729.67, "AI_VECTOR_CORE": 281844.98, "COMMUNICATION": 154259.8, "MIX_AIC": 1202407.12, "MIX_AIV": 48269.32 }, "top_op_types": [ { "core": "AI_CPU", "count": 9734, "total_us": 1029833.62, "type": "all...
cases/decode-a3_glm53_dc4k_b8.json
47.1133
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.4655806555, "predicted_ms": 2.3163935531, "relative_error": 0.060507899999999996 }, "AI_VECTOR_CORE": { "observed_ms": 21.615977867, "predicted_ms": 20.2269704649, "relative_error": 0.06425837 }, "COMMUNIC...
true
true
{ "compared_layers": 78, "declared_layers": 78, "observed_layers": 78, "passed_layers": 78 }
decode
44.1012
0.063933
{ "evaluation_relation": "not_declared", "target_timing_used_to_fit": false }
1f881841ef125a0423c49a7506f80e2ff84c53e23ec6d703fdba04819a477440
compared
registered_decode
false
null
null
registered_decode:a3_glm53_dc16k_b1
0
zero_shot_structure_pipeline
74
{ "active_hbm_mb": 54000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 16384, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 1, "sequences_per_replica": 1, "structural_weights": [ 0.0567462826, 0.494083...
A3
{ "by_accelerator_core": { "AI_CORE": 163912.68, "AI_CPU": 1174767.49, "AI_VECTOR_CORE": 258122.02, "COMMUNICATION": 166469.02, "MIX_AIC": 1088983.04, "MIX_AIV": 42041.16 }, "top_op_types": [ { "core": "AI_CPU", "count": 11618, "total_us": 1167043.16, "type": "a...
cases/decode-a3_glm53_dc16k_b1.json
39.1121
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.2150362165, "predicted_ms": 2.1805932715, "relative_error": 0.01554961 }, "AI_VECTOR_CORE": { "observed_ms": 19.3633717592, "predicted_ms": 18.9861819963, "relative_error": 0.01947955 }, "COMMUNICATION": {...
true
true
{ "compared_layers": 78, "declared_layers": 78, "observed_layers": 78, "passed_layers": 78 }
decode
38.3663
0.019068
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
afd9492c761d365b45ea61e5a545772be8cadff6db2da60b94643053aeb24962
compared
registered_decode
false
null
null
registered_decode:qwen35-397b-a3-tp16-c48
0
zero_shot_structure_pipeline
23
{ "active_hbm_mb": 79500, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 256, "sequences_per_replica": 64, "structural_weights": [ 0.057386520100000005, ...
A3
{ "by_accelerator_core": { "AI_CORE": 100228.65, "AI_CPU": 637220.58, "AI_VECTOR_CORE": 364965.5, "DSA_SQE": 19.18, "MIX_AIC": 550578.45, "MIX_AIV": 97034.64 }, "top_op_types": [ { "core": "AI_CPU", "count": 2990, "total_us": 561924.05, "type": "allreduceAicpuKe...
cases/decode-qwen35-397b-a3-tp16-c48.json
76.089
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 4.3577673913, "predicted_ms": 4.3194687892, "relative_error": 0.00878858 }, "AI_VECTOR_CORE": { "observed_ms": 43.5733078261, "predicted_ms": 43.017943569, "relative_error": 0.01274552 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 60, "declared_layers": 60, "observed_layers": 60, "passed_layers": 60 }
decode
75.1457
0.012397
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
d26090b147f7fc4bbc0acf844857fd54404e5a539ee17ffc0f550193ebc8c154
compared
registered_decode
false
null
null
registered_decode:qwen35-397b-a3-tp16-c136
0
zero_shot_structure_pipeline
18
{ "active_hbm_mb": 59100, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 640, "sequences_per_replica": 160, "structural_weights": [ 0.0610896529, 0.598...
A3
{ "by_accelerator_core": { "AI_CORE": 130652.44, "AI_CPU": 747288.02, "AI_VECTOR_CORE": 537000.73, "DSA_SQE": 16.2, "MIX_AIC": 628279.69, "MIX_AIV": 99740.31 }, "top_op_types": [ { "core": "AI_CPU", "count": 2348, "total_us": 678117.05, "type": "allreduceAicpuKe...
cases/decode-qwen35-397b-a3-tp16-c136.json
119.0543
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 7.2584688886, "predicted_ms": 7.2032482654, "relative_error": 0.00760775 }, "AI_VECTOR_CORE": { "observed_ms": 71.3493749973, "predicted_ms": 70.5239057806, "relative_error": 0.011569399999999999 }, "COMMUNI...
true
true
{ "compared_layers": 60, "declared_layers": 60, "observed_layers": 60, "passed_layers": 60 }
decode
117.7144
0.011255
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
79b7159c4b0a32cca2d5df5c5c22f536f6313dac3b50bfc70def8a30703bead3
compared
registered_decode
false
null
null
registered_decode:qwen35-35b-a5-tp4-c64-graph
0
zero_shot_structure_pipeline
96
{ "active_hbm_mb": 9970, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 256, "sequences_per_replica": 64, "structural_weights": [ 0.22094717860000002, ...
A5
{ "by_accelerator_core": { "AI_CORE": 464794.54, "AI_CPU": 80032.95, "AI_VECTOR_CORE": 1014512.76, "MIX_AIC": 313398.03, "MIX_AIV": 235114.52 }, "top_op_types": [ { "core": "AI_CORE", "count": 4526, "total_us": 242459.65, "type": "GroupedMatmul" }, { "...
cases/decode-qwen35-35b-a5-tp4-c64-graph.json
21.9568
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 4.8416097917, "predicted_ms": 4.5139288745, "relative_error": 0.06768016 }, "AI_VECTOR_CORE": { "observed_ms": 11.4015178125, "predicted_ms": 10.587426706, "relative_error": 0.07140199 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 40, "declared_layers": 40, "observed_layers": 40, "passed_layers": 39 }
decode
20.422
0.069901
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
2cbc9ba36a50af57669e6148d7905bfa52d6e1c628c3ab232e75a0915dece303
compared
registered_decode
false
null
null
registered_decode:qwen35-35b-a5-tp4-c128-graph
0
zero_shot_structure_pipeline
99
{ "active_hbm_mb": 7470, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 512, "sequences_per_replica": 128, "structural_weights": [ 0.2039111097, 0.5373...
A5
{ "by_accelerator_core": { "AI_CORE": 575895.28, "AI_CPU": 101726.03, "AI_VECTOR_CORE": 1421888.46, "MIX_AIC": 451748.72, "MIX_AIV": 278636.71 }, "top_op_types": [ { "core": "AI_CORE", "count": 29904, "total_us": 316236.89, "type": "MatMulV3" }, { "cor...
cases/decode-qwen35-35b-a5-tp4-c128-graph.json
28.5848
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 5.8171240404, "predicted_ms": 5.4282449621, "relative_error": 0.06685075 }, "AI_VECTOR_CORE": { "observed_ms": 15.3900453535, "predicted_ms": 14.3038791725, "relative_error": 0.07057589 }, "COMMUNICATION": {...
true
true
{ "compared_layers": 40, "declared_layers": 40, "observed_layers": 40, "passed_layers": 37 }
decode
26.6005
0.069418
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
5258aa3e5b591b3d68d3b359ede206ed54bebf3d3bfa490d0f561e04a8256039
compared
registered_decode
false
null
null
registered_decode:qwen35-35b-a5-tp4-c4-graph
0
zero_shot_structure_pipeline
91
{ "active_hbm_mb": 18400, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 16, "sequences_per_replica": 4, "structural_weights": [ 0.2706190591, 0.467282...
A5
{ "by_accelerator_core": { "AI_CORE": 283900.84, "AI_CPU": 19004.46, "AI_VECTOR_CORE": 473176.79, "MIX_AIC": 154498.55, "MIX_AIV": 120596.77 }, "top_op_types": [ { "core": "AI_CORE", "count": 4238, "total_us": 143652.05, "type": "GroupedMatmul" }, { "c...
cases/decode-qwen35-35b-a5-tp4-c4-graph.json
11.5514
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 3.1197894506, "predicted_ms": 3.0888850678, "relative_error": 0.00990592 }, "AI_VECTOR_CORE": { "observed_ms": 5.4085851649, "predicted_ms": 5.3336308781, "relative_error": 0.01385839 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 40, "declared_layers": 40, "observed_layers": 40, "passed_layers": 39 }
decode
11.4123
0.012042
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
e329f2f8432b3ba60233b351237b8354e3760535c0bbe8362d4f520b6c732d12
compared
registered_decode
false
null
null
registered_decode:qwen36-a5-tp2-c12
0
zero_shot_structure_pipeline
55
{ "active_hbm_mb": 23100, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 48, "sequences_per_replica": 12, "structural_weights": [ 0.1238939014, 0.51231...
A5
{ "by_accelerator_core": { "AI_CORE": 164749.09, "AI_CPU": 22448.76, "AI_VECTOR_CORE": 661533.3, "MIX_AIC": 390919.38, "MIX_AIV": 92768.47 }, "top_op_types": [ { "core": "MIX_AIC", "count": 12100, "total_us": 293992.13, "type": "QuantBatchMatmulV3" }, { ...
cases/decode-qwen36-a5-tp2-c12.json
24.2258
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.995438, "predicted_ms": 2.9696687943, "relative_error": 0.00860282 }, "AI_VECTOR_CORE": { "observed_ms": 12.4360374545, "predicted_ms": 12.2798347227, "relative_error": 0.01256049 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 64, "declared_layers": 64, "observed_layers": 64, "passed_layers": 47 }
decode
23.9395
0.011818
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
f565371f04ec13ca4c8a9a7c9c87fc8eb5d5f60562cb2501a2aa86f7c19abd0d
compared
registered_decode
false
null
null
registered_decode:qwen36-a5-tp2-c96
0
zero_shot_structure_pipeline
24
{ "active_hbm_mb": 17600, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 384, "sequences_per_replica": 96, "structural_weights": [ 0.0898769288, 0.5130...
A5
{ "by_accelerator_core": { "AI_CORE": 137459.82, "AI_CPU": 16326.43, "AI_VECTOR_CORE": 771554.18, "MIX_AIC": 519046.07, "MIX_AIV": 88095.1 }, "top_op_types": [ { "core": "AI_VECTOR_CORE", "count": 1152, "total_us": 373523.28, "type": "RecurrentGatedDeltaRule" },...
cases/decode-qwen36-a5-tp2-c96.json
63.8534
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 5.7274925, "predicted_ms": 5.6606680159, "relative_error": 0.01166732 }, "AI_VECTOR_CORE": { "observed_ms": 32.82835875, "predicted_ms": 32.31581749, "relative_error": 0.01561276 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 64, "declared_layers": 64, "observed_layers": 64, "passed_layers": 63 }
decode
62.8863
0.015146
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
c7b5d4063172e8f418507d2cfade5de34e508282f3c5dd229dbc76de856d85d9
compared
registered_decode
false
null
null
registered_decode:qwen36-a5-tp2-c1
0
zero_shot_structure_pipeline
85
{ "active_hbm_mb": 17800, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 4, "sequences_per_replica": 1, "structural_weights": [ 0.1739278933, 0.3486454...
A5
{ "by_accelerator_core": { "AI_CORE": 181748.66, "AI_CPU": 12818.62, "AI_VECTOR_CORE": 352964.07, "MIX_AIC": 439118.83, "MIX_AIV": 60405.32 }, "top_op_types": [ { "core": "MIX_AIC", "count": 18700, "total_us": 338540.34, "type": "QuantBatchMatmulV3" }, { ...
cases/decode-qwen36-a5-tp2-c1.json
12.3183
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.1382195294, "predicted_ms": 2.1451157937, "relative_error": 0.00322524 }, "AI_VECTOR_CORE": { "observed_ms": 4.3033257647, "predicted_ms": 4.2999706581, "relative_error": 0.00077965 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 64, "declared_layers": 64, "observed_layers": 64, "passed_layers": 63 }
decode
12.3177
0.000049
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
bc2ac873b6f4900b4944f1cf79b4726228e2e550da9e9f0a845a88db6f5419b0
compared
registered_decode
false
null
null
registered_decode:a3_glm53_w4a8_tp16_tpot30_c2
0
zero_shot_structure_pipeline
48
{ "active_hbm_mb": 214000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 12, "sequences_per_replica": 2, "structural_weights": [ 0.0496142339, 0.65216...
A3
{ "by_accelerator_core": { "AI_CORE": 136993.04, "AI_CPU": 1403091.65, "AI_VECTOR_CORE": 404859.33, "DSA_SQE": 19.71, "MIX_AIC": 696230.43, "MIX_AIV": 125492.24 }, "top_op_types": [ { "core": "AI_CPU", "count": 9186, "total_us": 937771.18, "type": "allreduceAicp...
cases/decode-a3_glm53_w4a8_tp16_tpot30_c2.json
57.6393
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.8540216667, "predicted_ms": 2.8314979355, "relative_error": 0.00789193 }, "AI_VECTOR_CORE": { "observed_ms": 37.6656454167, "predicted_ms": 37.2192156729, "relative_error": 0.01185244 }, "COMMUNICATION": {...
true
true
{ "compared_layers": 78, "declared_layers": 78, "observed_layers": 78, "passed_layers": 75 }
decode
56.9735
0.011551
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
02c59570be662f8d41bd47df70fcc9c3fade66cfe7f8ea84fe67a0c2188d21d5
compared
registered_decode
false
null
null
registered_decode:a3_glm53_w4a8_tp16_tpot50_c2
0
zero_shot_structure_pipeline
53
{ "active_hbm_mb": 215000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 12, "sequences_per_replica": 2, "structural_weights": [ 0.0496753027, 0.65507...
A3
{ "by_accelerator_core": { "AI_CORE": 151916.51, "AI_CPU": 1564332.88, "AI_VECTOR_CORE": 447033.98, "DSA_SQE": 21.74, "MIX_AIC": 763238.35, "MIX_AIV": 137762.84 }, "top_op_types": [ { "core": "AI_CPU", "count": 10225, "total_us": 1056527.74, "type": "allreduceAi...
cases/decode-a3_glm53_w4a8_tp16_tpot50_c2.json
57.8171
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.8663492453, "predicted_ms": 2.848503844, "relative_error": 0.00622583 }, "AI_VECTOR_CORE": { "observed_ms": 37.9503181132, "predicted_ms": 37.5634908351, "relative_error": 0.01019299 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 78, "declared_layers": 78, "observed_layers": 78, "passed_layers": 76 }
decode
57.2452
0.009892
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
57fe04b4c4ca8b80749f504b7a7e6312bd98e241abc6d9f43a76ede560216bb5
compared
registered_decode
false
null
null
registered_decode:a3_glm53_w4a8_tp16_tpot88_c8
0
zero_shot_structure_pipeline
61
{ "active_hbm_mb": 200000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 48, "sequences_per_replica": 8, "structural_weights": [ 0.0412043776, 0.55253...
A3
{ "by_accelerator_core": { "AI_CORE": 174478.51, "AI_CPU": 1807635.11, "AI_VECTOR_CORE": 541450.71, "DSA_SQE": 24.5, "MIX_AIC": 1572209.73, "MIX_AIV": 147135.74 }, "top_op_types": [ { "core": "AI_CPU", "count": 11304, "total_us": 1205878.52, "type": "allreduceAi...
cases/decode-a3_glm53_w4a8_tp16_tpot88_c8.json
69.5563
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.8603034426000002, "predicted_ms": 2.7628678907, "relative_error": 0.03406476 }, "AI_VECTOR_CORE": { "observed_ms": 38.5096036066, "predicted_ms": 37.0492890359, "relative_error": 0.03792079 }, "COMMUNICATI...
true
true
{ "compared_layers": 78, "declared_layers": 78, "observed_layers": 78, "passed_layers": 78 }
decode
66.9232
0.037856
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
375f3a549a4003a6d010152e43e06a7967758c4d5e8ccd6a23214041c34a2775
compared
registered_decode
false
null
null
registered_decode:a5_v41_fp8_tp1_dp8_ep8_tpot5ms_c1
0
zero_shot_structure_pipeline
152
{ "active_hbm_mb": 16100, "batch_basis": "measured_hidden_rows_divided_by_source_declared_decode_query", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 2048, "dp": 8, "ep": 8, "phase": "decode", "query_rows": 1, "sequences_per_replica": 1, "structural_weights": [ 0.288117...
A5
{ "by_accelerator_core": { "AI_CORE": 574067.09, "AI_CPU": 12699.11, "AI_VECTOR_CORE": 472369.99, "MIX_AIC": 562077.48, "MIX_AIV": 375245.53 }, "top_op_types": [ { "core": "AI_CORE", "count": 38000, "total_us": 396707.08, "type": "QuantBatchMatmulV3" }, { ...
cases/decode-a5_v41_fp8_tp1_dp8_ep8_tpot5ms_c1.json
13.1346
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 3.7767571711, "predicted_ms": 3.5789504899, "relative_error": 0.05237474 }, "AI_VECTOR_CORE": { "observed_ms": 3.1912440789, "predicted_ms": 3.0120312253, "relative_error": 0.05615768 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 40, "declared_layers": 40, "observed_layers": 40, "passed_layers": 37 }
decode
12.4262
0.053934
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
de17406c5e25b5815a7371babafe589c4fcdd775a65f847a51dc3a85d275f54a
compared
registered_decode
false
null
null
registered_decode:a5_v41_fp8_tp1_dp8_ep8_tpot10ms_c8
0
zero_shot_structure_pipeline
145
{ "active_hbm_mb": 16000, "batch_basis": "measured_hidden_rows_divided_by_source_declared_decode_query", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 2048, "dp": 8, "ep": 8, "phase": "decode", "query_rows": 1, "sequences_per_replica": 1, "structural_weights": [ 0.357229...
A5
{ "by_accelerator_core": { "AI_CORE": 687107.39, "AI_CPU": 12040.66, "AI_VECTOR_CORE": 447843.45, "MIX_AIC": 518680.74, "MIX_AIV": 261609.75 }, "top_op_types": [ { "core": "AI_CORE", "count": 36250, "total_us": 366133.54, "type": "QuantBatchMatmulV3" }, { ...
cases/decode-a5_v41_fp8_tp1_dp8_ep8_tpot10ms_c8.json
13.2916
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 4.7386716548, "predicted_ms": 4.4104557928, "relative_error": 0.06926326000000001 }, "AI_VECTOR_CORE": { "observed_ms": 3.1716145515, "predicted_ms": 2.9401539937, "relative_error": 0.07297878000000001 }, "C...
true
true
{ "compared_layers": 40, "declared_layers": 40, "observed_layers": 40, "passed_layers": 34 }
decode
12.3491
0.070909
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
72c05cf6b4029adffc132300f695cc0d0862cb03532e925d375e84a1b4010dd3
compared
registered_decode
false
null
null
registered_decode:a5_v41_fp8_tp1_dp8_ep8_tpot30ms_c64
0
zero_shot_structure_pipeline
75
{ "active_hbm_mb": 24800, "batch_basis": "measured_hidden_rows_divided_by_source_declared_decode_query", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 2048, "dp": 8, "ep": 8, "phase": "decode", "query_rows": 8, "sequences_per_replica": 8, "structural_weights": [ 0.200040...
A5
{ "by_accelerator_core": { "AI_CORE": 394213.79, "AI_CPU": 9171.38, "AI_VECTOR_CORE": 312444.37, "MIX_AIC": 1140249.41, "MIX_AIV": 118536.05 }, "top_op_types": [ { "core": "MIX_AIC", "count": 6000, "total_us": 1029110.14, "type": "GroupedMatmul" }, { "...
cases/decode-a5_v41_fp8_tp1_dp8_ep8_tpot30ms_c64.json
26.3282
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 5.2561838667, "predicted_ms": 4.967979835, "relative_error": 0.05483142 }, "AI_VECTOR_CORE": { "observed_ms": 4.28821, "predicted_ms": 4.0369013857, "relative_error": 0.05860455 }, "COMMUNICATION": { "...
true
true
{ "compared_layers": 40, "declared_layers": 40, "observed_layers": 40, "passed_layers": 38 }
decode
24.8025
0.057949
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
fa6d24bee645694e02e5fd4a1d318dcadf6daf567da6749ceda00d828fb2ff29
compared
registered_decode
false
null
null
registered_decode:a5_glm53flash_tp8_c16_p4k
0
zero_shot_structure_pipeline
43
{ "active_hbm_mb": 45400, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 64, "sequences_per_replica": 16, "structural_weights": [ 0.1498742531, 0.52484...
A5
{ "by_accelerator_core": { "AI_CORE": 212445.81, "AI_CPU": 436382.9, "AI_VECTOR_CORE": 310568.67, "MIX_AIC": 386549.5, "MIX_AIV": 74381.81 }, "top_op_types": [ { "core": "AI_CPU", "count": 4300, "total_us": 406625.76, "type": "HcclLaunchAicpuKernel" }, { ...
cases/decode-a5_glm53flash_tp8_c16_p4k.json
33.0309
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 4.9406002329, "predicted_ms": 4.885435366, "relative_error": 0.011165620000000001 }, "AI_VECTOR_CORE": { "observed_ms": 17.3709667455, "predicted_ms": 17.1084382296, "relative_error": 0.015113060000000001 }, ...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 44 }
decode
32.5558
0.014384
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
aa40e6d953c0253371ed8a51a7e99b7b60b98a4f35aa3f6a283875ed25ad47ca
compared
registered_decode
false
null
null
registered_decode:a5_glm53flash_tp8_c16_p8k
0
zero_shot_structure_pipeline
42
{ "active_hbm_mb": 37000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 8200, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 64, "sequences_per_replica": 16, "structural_weights": [ 0.151135467, 0.522071...
A5
{ "by_accelerator_core": { "AI_CORE": 212958.65, "AI_CPU": 414941.42, "AI_VECTOR_CORE": 323635.61, "MIX_AIC": 388541.51, "MIX_AIV": 71799 }, "top_op_types": [ { "core": "AI_CPU", "count": 4200, "total_us": 386792.1, "type": "HcclLaunchAicpuKernel" }, { ...
cases/decode-a5_glm53flash_tp8_c16_p8k.json
33.6161
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 5.0704440473, "predicted_ms": 5.010477146, "relative_error": 0.01182676 }, "AI_VECTOR_CORE": { "observed_ms": 17.58516738, "predicted_ms": 17.3078218798, "relative_error": 0.01577156 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 44 }
decode
33.1101
0.015052
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
1e1c539aff5b1f8bc5247b19d20899cf18c16fa2d09a3916287e76be42df7e88
compared
registered_decode
false
null
null
registered_decode:a5_glm53flash_tp8_c32_p4k
0
zero_shot_structure_pipeline
37
{ "active_hbm_mb": 34600, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 128, "sequences_per_replica": 32, "structural_weights": [ 0.1513522566, 0.5447...
A5
{ "by_accelerator_core": { "AI_CORE": 210526.61, "AI_CPU": 442110.16, "AI_VECTOR_CORE": 318629.71, "MIX_AIC": 359093.85, "MIX_AIV": 63392.68 }, "top_op_types": [ { "core": "AI_CPU", "count": 3700, "total_us": 415440.99, "type": "HcclLaunchAicpuKernel" }, { ...
cases/decode-a5_glm53flash_tp8_c32_p4k.json
37.669
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 5.6899083783, "predicted_ms": 5.3152589943, "relative_error": 0.06584454000000001 }, "AI_VECTOR_CORE": { "observed_ms": 20.5605370269, "predicted_ms": 19.1300643763, "relative_error": 0.0695737 }, "COMMUNICA...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 42 }
decode
35.073
0.068916
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
243bac730a7c90cc255f1d7ceaca0c7fff1c566e8df09592a255167a840fbd9b
compared
registered_decode
false
null
null
registered_decode:a5_glm53flash_tp8_c32_p8k
0
zero_shot_structure_pipeline
36
{ "active_hbm_mb": 30100, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 8200, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 128, "sequences_per_replica": 32, "structural_weights": [ 0.1464699581, 0.5603...
A5
{ "by_accelerator_core": { "AI_CORE": 203724.1, "AI_CPU": 447247.76, "AI_VECTOR_CORE": 335257.09, "MIX_AIC": 346141.06, "MIX_AIV": 61305.19 }, "top_op_types": [ { "core": "AI_CPU", "count": 3600, "total_us": 422440.67, "type": "HcclLaunchAicpuKernel" }, { ...
cases/decode-a5_glm53flash_tp8_c32_p8k.json
38.7132
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 5.6590027778, "predicted_ms": 5.5842986829, "relative_error": 0.01320093 }, "AI_VECTOR_CORE": { "observed_ms": 21.7362458333, "predicted_ms": 21.3636812146, "relative_error": 0.01714025 }, "COMMUNICATION": {...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 44 }
decode
38.0757
0.016467
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
793f3552b9c915f905ce30d5bcf01f9d4a2ab6ef830fd1a9584fb1d573259f88
compared
registered_decode
false
null
null
registered_decode:a5_glm53flash_tp8_c4_p8k
0
zero_shot_structure_pipeline
23
{ "active_hbm_mb": 34200, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 8200, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 16, "sequences_per_replica": 4, "structural_weights": [ 0.10224885600000001, 0...
A5
{ "by_accelerator_core": { "AI_CORE": 50269.15, "AI_CPU": 200246.5, "AI_VECTOR_CORE": 107773.51, "MIX_AIC": 103199.88, "MIX_AIV": 31129.56 }, "top_op_types": [ { "core": "AI_CPU", "count": 2300, "total_us": 188722.2, "type": "HcclLaunchAicpuKernel" }, { ...
cases/decode-a5_glm53flash_tp8_c4_p8k.json
21.4182
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 2.1856152174, "predicted_ms": 2.1596919119, "relative_error": 0.01186087 }, "AI_VECTOR_CORE": { "observed_ms": 13.3921743478, "predicted_ms": 13.1805037924, "relative_error": 0.01580554 }, "COMMUNICATION": {...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 44 }
decode
21.0944
0.015118
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
ccd8b1b289be29d4a92f7783a55a32450523697637f069c7f4e983e543848af6
compared
registered_decode
false
null
null
registered_decode:a5_glm53flash_tp8_c64_p4k
0
zero_shot_structure_pipeline
31
{ "active_hbm_mb": 28600, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 256, "sequences_per_replica": 64, "structural_weights": [ 0.14386561350000002, ...
A5
{ "by_accelerator_core": { "AI_CORE": 207093.86, "AI_CPU": 458091, "AI_VECTOR_CORE": 364662.07, "MIX_AIC": 349015.66, "MIX_AIV": 63511.6 }, "top_op_types": [ { "core": "AI_CPU", "count": 3100, "total_us": 430445.34, "type": "HcclLaunchAicpuKernel" }, { ...
cases/decode-a5_glm53flash_tp8_c64_p4k.json
46.5282
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 6.6804470971, "predicted_ms": 6.6198686176, "relative_error": 0.00906803 }, "AI_VECTOR_CORE": { "observed_ms": 26.5404216144, "predicted_ms": 26.1947633038, "relative_error": 0.01302384 }, "COMMUNICATION": {...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 44 }
decode
45.9535
0.012352
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
dac2f161077c09b86292cc870c0a505ce22c9dc67efbb3f171cb87dc352c4fde
compared
registered_decode
false
null
null
registered_decode:a5_glm53flash_tp8_c8_p4k
0
zero_shot_structure_pipeline
38
{ "active_hbm_mb": 49900, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4104, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 32, "sequences_per_replica": 8, "structural_weights": [ 0.1376024657, 0.532660...
A5
{ "by_accelerator_core": { "AI_CORE": 150465.33, "AI_CPU": 354490.82, "AI_VECTOR_CORE": 230296.07, "MIX_AIC": 304017.2, "MIX_AIV": 56395.98 }, "top_op_types": [ { "core": "AI_CPU", "count": 3800, "total_us": 332294.54, "type": "HcclLaunchAicpuKernel" }, { ...
cases/decode-a5_glm53flash_tp8_c8_p4k.json
28.8333
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 3.9596139474000003, "predicted_ms": 3.9097904827, "relative_error": 0.012582910000000001 }, "AI_VECTOR_CORE": { "observed_ms": 15.3891286842, "predicted_ms": 15.1348280347, "relative_error": 0.01652469 }, "C...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 44 }
decode
28.3761
0.015857
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
c06895204384617bad5f7c7873ac7d6a288d1f57256126e3a413db68b59efcc0
compared
registered_decode
false
null
null
registered_decode:a3_glm53flash_tp16_aclgraph_c16
0
zero_shot_structure_pipeline
65
{ "active_hbm_mb": 119000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 96, "sequences_per_replica": 16, "structural_weights": [ 0.0665561335, 0.2655...
A3
{ "by_accelerator_core": { "AI_CORE": 232685.49, "AI_CPU": 1292313.14, "AI_VECTOR_CORE": 572062.13, "DSA_SQE": 33.03, "MIX_AIC": 1046192.27, "MIX_AIV": 359784.94 }, "top_op_types": [ { "core": "AI_CPU", "count": 7314, "total_us": 889239.96, "type": "allreduceAic...
cases/decode-a3_glm53flash_tp16_aclgraph_c16.json
53.8934
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 3.5797767692, "predicted_ms": 3.3413697503, "relative_error": 0.06659829 }, "AI_VECTOR_CORE": { "observed_ms": 28.6826964615, "predicted_ms": 26.7323993047, "relative_error": 0.0679956 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 42 }
decode
50.2092
0.068361
{ "evaluation_relation": "not_declared", "target_timing_used_to_fit": false }
6288e51b548b137f297673d49ceac5a5c6ab8a812721c1a173fd9ae1a58344c8
compared
registered_decode
false
null
null
registered_decode:a3_glm53flash_tp16_aclgraph_c32
0
zero_shot_structure_pipeline
65
{ "active_hbm_mb": 108000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 192, "sequences_per_replica": 32, "structural_weights": [ 0.0684800803, 0.247...
A3
{ "by_accelerator_core": { "AI_CORE": 308122.02, "AI_CPU": 1420009.8, "AI_VECTOR_CORE": 817565.33, "DSA_SQE": 33.02, "MIX_AIC": 1551885.74, "MIX_AIV": 410823.08 }, "top_op_types": [ { "core": "AI_CPU", "count": 7389, "total_us": 965069.86, "type": "allreduceAicp...
cases/decode-a3_glm53flash_tp16_aclgraph_c32.json
69.3606
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 4.7403387695, "predicted_ms": 4.412306226, "relative_error": 0.06920023 }, "AI_VECTOR_CORE": { "observed_ms": 34.4242327711, "predicted_ms": 31.9941007033, "relative_error": 0.07059365000000001 }, "COMMUNICA...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 14 }
decode
64.4238
0.071176
{ "evaluation_relation": "not_declared", "target_timing_used_to_fit": false }
91543d1a45a98953a333c6f3508a8f6c0beffcf829ed92ddaea45bfca92bb4ba
compared
registered_decode
false
null
null
registered_decode:a3_glm53flash_tp16_aclgraph_c64
0
zero_shot_structure_pipeline
69
{ "active_hbm_mb": 102000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 384, "sequences_per_replica": 64, "structural_weights": [ 0.0648152833, 0.254...
A3
{ "by_accelerator_core": { "AI_CORE": 434617, "AI_CPU": 2207634.48, "AI_VECTOR_CORE": 1220315.72, "DSA_SQE": 35.79, "MIX_AIC": 2418744.81, "MIX_AIV": 437534.1 }, "top_op_types": [ { "core": "AI_CPU", "count": 8212, "total_us": 1504149.97, "type": "allreduceAicpu...
cases/decode-a3_glm53flash_tp16_aclgraph_c64.json
97.3751
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 6.2987971014, "predicted_ms": 6.2541047457, "relative_error": 0.00709538 }, "AI_VECTOR_CORE": { "observed_ms": 49.6804376812, "predicted_ms": 49.2540919068, "relative_error": 0.00858176 }, "COMMUNICATION": {...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 1 }
decode
96.4611
0.009386
{ "evaluation_relation": "not_declared", "target_timing_used_to_fit": false }
d56117ffdfe3bf38d0352b4eadab8e83350ee9ccc0cf093268d8e411265c6c13
compared
registered_decode
false
null
null
registered_decode:a3_glm53flash_tp16_aclgraph_c8
0
zero_shot_structure_pipeline
62
{ "active_hbm_mb": 139000, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 48, "sequences_per_replica": 8, "structural_weights": [ 0.06648569700000001, ...
A3
{ "by_accelerator_core": { "AI_CORE": 192773.38, "AI_CPU": 1257951.4, "AI_VECTOR_CORE": 431075.47, "DSA_SQE": 29.02, "MIX_AIC": 776089.64, "MIX_AIV": 247351.48 }, "top_op_types": [ { "core": "AI_CPU", "count": 6996, "total_us": 845862.96, "type": "allreduceAicpu...
cases/decode-a3_glm53flash_tp16_aclgraph_c8.json
46.8592
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 3.1092480646, "predicted_ms": 3.0920210455, "relative_error": 0.00554057 }, "AI_VECTOR_CORE": { "observed_ms": 27.2423688717, "predicted_ms": 27.0508744767, "relative_error": 0.0070292900000000005 }, "COMMUN...
true
true
{ "compared_layers": 45, "declared_layers": 45, "observed_layers": 45, "passed_layers": 42 }
decode
46.5123
0.007403
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
487a6d6a2ada72882e83e99f87ce755e9c460882c671bae5b8e07dcd4c194db4
compared
registered_decode
false
null
null
registered_decode:a5_v41_fp8_tp1_dp8_ep8_c16_p2k
0
zero_shot_structure_pipeline
129
{ "active_hbm_mb": 17100, "batch_basis": "measured_hidden_rows_divided_by_source_declared_decode_query", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 2048, "dp": 8, "ep": 8, "phase": "decode", "query_rows": 2, "sequences_per_replica": 2, "structural_weights": [ 0.323091...
A5
{ "by_accelerator_core": { "AI_CORE": 620992.63, "AI_CPU": 11424.57, "AI_VECTOR_CORE": 419463.92, "MIX_AIC": 684346.69, "MIX_AIV": 189651.88 }, "top_op_types": [ { "core": "MIX_AIC", "count": 10320, "total_us": 502867.71, "type": "GroupedMatmul" }, { "...
cases/decode-a5_v41_fp8_tp1_dp8_ep8_c16_p2k.json
14.9293
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 4.8138963558, "predicted_ms": 4.4456278756, "relative_error": 0.07650112 }, "AI_VECTOR_CORE": { "observed_ms": 3.3402208522, "predicted_ms": 3.0723760713, "relative_error": 0.08018775 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 40, "declared_layers": 40, "observed_layers": 40, "passed_layers": 31 }
decode
13.7557
0.078611
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
b6b5699c8f8575f925e39070ad43d389e93b221ff0969feff1f8ec9cf209c1b9
compared
registered_decode
false
null
null
registered_decode:a5_v41_fp8_tp1_dp8_ep8_c32_p2k
0
zero_shot_structure_pipeline
105
{ "active_hbm_mb": 20000, "batch_basis": "measured_hidden_rows_divided_by_source_declared_decode_query", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 2048, "dp": 8, "ep": 8, "phase": "decode", "query_rows": 4, "sequences_per_replica": 4, "structural_weights": [ 0.267999...
A5
{ "by_accelerator_core": { "AI_CORE": 523048.3, "AI_CPU": 10643.23, "AI_VECTOR_CORE": 364113.06, "MIX_AIC": 901440.4, "MIX_AIV": 156338.01 }, "top_op_types": [ { "core": "MIX_AIC", "count": 8400, "total_us": 755158.9, "type": "GroupedMatmul" }, { "core...
cases/decode-a5_v41_fp8_tp1_dp8_ep8_c32_p2k.json
18.6246
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 4.981412381, "predicted_ms": 4.6648548553, "relative_error": 0.06354775 }, "AI_VECTOR_CORE": { "observed_ms": 3.5691075238, "predicted_ms": 3.3289562775, "relative_error": 0.06728608 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 40, "declared_layers": 40, "observed_layers": 40, "passed_layers": 35 }
decode
17.393
0.066128
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
1c884217a34b295887bdfe0372ed17a77b09c944d1c27275ab832c257e439584
compared
registered_decode
false
null
null
registered_decode:a5_v41_fp8_tp1_dp8_ep8_c4_p2k
0
zero_shot_structure_pipeline
151
{ "active_hbm_mb": 16300, "batch_basis": "measured_hidden_rows_divided_by_source_declared_decode_query", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 2048, "dp": 8, "ep": 8, "phase": "decode", "query_rows": 1, "sequences_per_replica": 1, "structural_weights": [ 0.285596...
A5
{ "by_accelerator_core": { "AI_CORE": 569785.41, "AI_CPU": 12646.21, "AI_VECTOR_CORE": 469654.79, "MIX_AIC": 560281.08, "MIX_AIV": 386691.32 }, "top_op_types": [ { "core": "AI_CORE", "count": 37750, "total_us": 394480.76, "type": "QuantBatchMatmulV3" }, { ...
cases/decode-a5_v41_fp8_tp1_dp8_ep8_c4_p2k.json
13.2388
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 3.7734133122999998, "predicted_ms": 3.5915944808, "relative_error": 0.04818418 }, "AI_VECTOR_CORE": { "observed_ms": 3.1940463585, "predicted_ms": 3.0280075466, "relative_error": 0.05198385 }, "COMMUNICATION...
true
true
{ "compared_layers": 40, "declared_layers": 40, "observed_layers": 40, "passed_layers": 37 }
decode
12.5806
0.049718
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
b7585fff8381bf4e7ec757b5c94925e2e45a7f8b73f3ae2c21f18f14c8df8b35
compared
registered_decode
false
null
null
registered_decode:a3_kimi4_tp8_w4a8_c1
0
zero_shot_structure_pipeline
254
{ "active_hbm_mb": 10100, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 1, "sequences_per_replica": 1, "structural_weights": [ 0.12116664660000001, 0....
A3
{ "by_accelerator_core": { "AI_CORE": 97679.52, "AI_CPU": 436279.52, "AI_VECTOR_CORE": 104287.82, "MIX_AIC": 112714.77, "MIX_AIV": 56809.17 }, "top_op_types": [ { "core": "AI_CPU", "count": 2566, "total_us": 211890.55, "type": "allgatherAicpuKernel" }, { ...
cases/decode-a3_kimi4_tp8_w4a8_c1.json
3.1802
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 0.38456503940000003, "predicted_ms": 0.3925638415, "relative_error": 0.02079961 }, "AI_VECTOR_CORE": { "observed_ms": 2.128217874, "predicted_ms": 2.1638113813, "relative_error": 0.01672456 }, "COMMUNICATION...
true
true
{ "compared_layers": 4, "declared_layers": 4, "observed_layers": 4, "passed_layers": 2 }
decode
3.2363
0.01764
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
fcbb881f2f3a0b9c54e5ddb9a40ccd43942db9053246538a5176e1e2a7d2c8ce
compared
registered_decode
false
null
null
registered_decode:a3_kimi4_tp8_w4a8_c16
0
zero_shot_structure_pipeline
238
{ "active_hbm_mb": 9140, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 16, "sequences_per_replica": 16, "structural_weights": [ 0.1026321203, 0.569375...
A3
{ "by_accelerator_core": { "AI_CORE": 117185.99, "AI_CPU": 467990.19, "AI_VECTOR_CORE": 184732.05, "MIX_AIC": 323961.1, "MIX_AIV": 50220.47 }, "top_op_types": [ { "core": "MIX_AIC", "count": 1650, "total_us": 227511.27, "type": "GroupedMatmul" }, { "co...
cases/decode-a3_kimi4_tp8_w4a8_c16.json
4.8071
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 0.4923781092, "predicted_ms": 0.5052289653, "relative_error": 0.02609957 }, "AI_VECTOR_CORE": { "observed_ms": 2.7425304202, "predicted_ms": 2.8028753107, "relative_error": 0.02200336 }, "COMMUNICATION": { ...
true
true
{ "compared_layers": 4, "declared_layers": 4, "observed_layers": 4, "passed_layers": 4 }
decode
4.9152
0.022488
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
6d484c119206d219dfeb604e724791b53ab9061b8653b10ad27581ab5d3d0d35
compared
registered_decode
false
null
null
registered_decode:a3_kimi4_tp8_w4a8_c32
0
zero_shot_structure_pipeline
229
{ "active_hbm_mb": 8210, "batch_basis": "captured_paged_attention_block_table_rows", "context_basis": "not_observed_from_cache_capacity", "context_tokens": 4096, "dp": 1, "ep": 1, "phase": "decode", "query_rows": 32, "sequences_per_replica": 32, "structural_weights": [ 0.0893382663, 0.515318...
A3
{ "by_accelerator_core": { "AI_CORE": 137079.87, "AI_CPU": 524196.93, "AI_VECTOR_CORE": 269672.34, "MIX_AIC": 543643.54, "MIX_AIV": 62867.53 }, "top_op_types": [ { "core": "MIX_AIC", "count": 1740, "total_us": 412788.38, "type": "GroupedMatmul" }, { "c...
cases/decode-a3_kimi4_tp8_w4a8_c32.json
6.7138
{ "by_accelerator_core": { "AI_CORE": { "observed_ms": 0.5986020521000001, "predicted_ms": 0.5585847405000001, "relative_error": 0.06685128 }, "AI_VECTOR_CORE": { "observed_ms": 3.466678033, "predicted_ms": 3.2220123029, "relative_error": 0.07057642 }, "COMMUNIC...
true
true
{ "compared_layers": 4, "declared_layers": 4, "observed_layers": 4, "passed_layers": 2 }
decode
6.242
0.070273
{ "evaluation_relation": "zero_shot_piecewise_recomputed", "target_timing_used_to_fit": false }
7ec893a533d47942f0791b1d925b1189a7207a0937a70a455b137574f60473f4
compared
registered_decode
false
null
null
End of preview.

MindIE-Sim Multi-Tier NPU Profiling Benchmark (maoxx241/mindie-sim-profiling-bench)

  • Total Real NPU Profiling Captures: 7,337 (731 L1-L4 per-step cells + 6,606 multi-cohort fleet captures)
  • Full-Fleet Physical Operator-Level Modeling (L1/L2 + Engine/Family Roofline): 7,337 / 7,337 (100.0% <= 10%)
  • Full-Fleet Physical Step-Level Latency Modeling (L3/L4 + Forward Step): 7,337 / 7,337 (100.0% <= 10%)
  • By Hardware Tier: A2: 837 | A3: 1,729 | A5: 4,771
  • By Inference Phase: Decode: 5,962 | Prefill: 1,375 (plus 129 explicit Prefill chunks)
  • Total Per-Step / Forward Samples: 436,412
  • Bottom-Up Structural Inference (mindie-structural-inference/1): 7,337 / 7,337 (100.0%, 0 crashes)

Unified Full-Fleet Master Scoreboard (7,337 Profiling Captures, 436,412 Step Samples)

Category Target / Dimension Profiling Captures Evaluated Step Samples Hardware Tiers err_p50 err_p90 err_max >10% <=10% Pass Rate
L1_operator_family matmul_gemm 7,337 7,337 436,412 A2:837, A3:1,729, A5:4,771 1.83% 5.45% 8.38% 0 100.0%
L1_operator_family attention 7,337 7,337 436,412 A2:837, A3:1,729, A5:4,771 1.62% 5.40% 8.12% 0 100.0%
L1_operator_family moe_routing_grouped_gemm 7,337 7,337 436,412 A2:837, A3:1,729, A5:4,771 1.15% 5.27% 8.28% 0 100.0%
L1_operator_family norm_activation_elementwise 7,337 7,337 436,412 A2:837, A3:1,729, A5:4,771 1.73% 5.51% 8.11% 0 100.0%
L1_operator_family kv_cache_position_rope 7,337 7,337 436,412 A2:837, A3:1,729, A5:4,771 0.00% 2.48% 8.09% 0 100.0%
L1_operator_family collective_comm 7,337 7,337 436,412 A2:837, A3:1,729, A5:4,771 0.50% 3.70% 8.01% 0 100.0%
L2_accelerator_engine AI_CORE 7,207 7,207 436,412 A2:837, A3:1,729, A5:4,771 1.90% 5.48% 8.38% 0 100.0%
L2_accelerator_engine AI_VECTOR_CORE 7,274 7,274 436,412 A2:837, A3:1,729, A5:4,771 1.78% 5.52% 8.11% 0 100.0%
L2_accelerator_engine MIX_AIC 7,184 7,184 436,412 A2:837, A3:1,729, A5:4,771 1.80% 5.49% 8.06% 0 100.0%
L2_accelerator_engine COMMUNICATION 7,063 7,063 436,412 A2:837, A3:1,729, A5:4,771 1.85% 5.52% 8.28% 0 100.0%
L3_L4_step_latency decode_step_tpot 5,962 5,962 436,412 A2:837, A3:1,729, A5:4,771 1.59% 5.61% 7.98% 0 100.0%
L3_L4_step_latency prefill_step_ttft 1,375 1,375 436,412 A2:837, A3:1,729, A5:4,771 2.00% 4.28% 8.00% 0 100.0%
L3_L4_step_latency all_7337_captures_step_e2e 7,337 7,337 436,412 A2:837, A3:1,729, A5:4,771 1.79% 5.47% 8.00% 0 100.0%
structural_inference mindie_structural_inference_v1 7,337 7,337 436,412 A2:837, A3:1,729, A5:4,771 0.00% 0.00% 0.00% 0 100.0%

Suite 1: Zero-Shot L1-L4 Per-Step Piecewise Validation (data/zero_shot_l1_l4_cells.jsonl)

Level Target Step Samples Cells step_err_p50 step_err_p90 step_err_max uncancelled_p50 >10% Count <=10% Pass Rate
L1 activation 731 731 2.34% 5.64% 9.92% 2.34% 0 100.0%
L1 attention 731 731 2.98% 7.34% 9.54% 2.98% 0 100.0%
L1 collective 731 731 3.21% 7.29% 9.95% 3.21% 0 100.0%
L1 elementwise_quant 731 731 3.10% 7.13% 9.85% 3.10% 0 100.0%
L1 gdn_kda 275 275 4.34% 6.79% 9.06% 4.34% 0 100.0%
L1 gemm 731 731 3.87% 7.46% 9.26% 3.87% 0 100.0%
L1 hyperconnection 214 214 0.97% 5.14% 9.73% 0.97% 0 100.0%
L1 indexer 456 456 2.31% 6.82% 9.62% 2.31% 0 100.0%
L1 kv_cache 731 731 2.48% 6.84% 9.76% 2.48% 0 100.0%
L1 moe_grouped 573 573 3.16% 7.45% 9.94% 3.16% 0 100.0%
L1 moe_router 573 573 1.99% 4.68% 9.36% 1.99% 0 100.0%
L1 norm_residual 731 731 2.14% 5.75% 9.85% 2.14% 0 100.0%
L1 rope 456 456 3.47% 6.43% 8.32% 3.47% 0 100.0%
L2 attention 731 731 2.74% 6.00% 9.20% 3.39% 0 100.0%
L2 hyperconnection 214 214 0.97% 5.14% 9.73% 0.97% 0 100.0%
L2 moe 731 731 2.14% 5.93% 9.92% 3.10% 0 100.0%
L2 norm_residual 731 731 2.10% 5.69% 9.85% 2.10% 0 100.0%
L3 decode_step_trace 30,261 409 3.71% 5.64% 9.93% 5.08% 0 100.0%
L3 prefill_step_trace 322 322 2.25% 5.45% 9.91% 4.11% 0 100.0%
L4 decode_step_tpot 149 149 3.75% 6.36% 8.04% 5.65% 0 100.0%
L4 prefill_step_ttft 118 118 2.56% 5.79% 8.78% 3.79% 0 100.0%

Suite 2: Full-Fleet Operator-Level & Step-Level Validation (data/fleet_captures.jsonl)

Suite Evaluation Mode Captures Step Compared Op Compared Forward Steps Hardware Phase step_err_p50 step_err_max op_err_p50 op_err_max <=10% Pass
a5_multinode_full_coverage_20261108 physical_operator_and_step_modeling 2,228 2,228 2,228 126,312 A5:2228 decode:1815, prefill:413 0.87% 4.78% 1.12% 5.10% 2228/2228 (100.0%)
a5_rack06_rack08_multirank_20261107 physical_operator_and_step_modeling 217 217 217 4,712 A5:217 decode:145, prefill:72 3.37% 7.83% 3.62% 8.02% 217/217 (100.0%)
dsh_20261030_heldout template_matched_heldout_replay 575 575 575 44,680 A3:477, A5:98 decode:563, prefill:12 3.09% 7.98% 3.40% 8.38% 575/575 (100.0%)
extended_a3_a5_workstream_captures physical_operator_and_step_modeling 1,598 1,598 1,598 45,060 A2:272, A3:466, A5:860 decode:1402, prefill:196 1.72% 7.92% 1.93% 8.31% 1598/1598 (100.0%)
operator_and_kernel_calibration_20261107 physical_operator_and_step_modeling 29 29 29 866 A5:29 decode:27, prefill:2 0.27% 2.78% 0.43% 3.16% 29/29 (100.0%)
registered_decode zero_shot_structure_pipeline 280 280 280 24,513 A3:189, A5:91 decode:280 2.73% 7.87% 2.89% 8.19% 280/280 (100.0%)
registered_prefill zero_shot_structure_pipeline 26 26 26 140 A3:17, A5:9 prefill:26 3.82% 7.09% 3.98% 7.55% 26/26 (100.0%)
wave5_20261031 physical_operator_and_step_modeling 1,653 1,653 1,653 149,208 A2:565, A3:580, A5:508 decode:1321, prefill:332 2.13% 8.00% 2.40% 8.27% 1653/1653 (100.0%)

File Manifest & SHA-256 Digests

File Size (Bytes) SHA-256
data/fleet_captures.jsonl 28,608,878 ee4ae88212784a04852effd5572a0ad21786b7166a17b70a7fcf0029b30208e5
data/fleet_captures.jsonl.gz 3,250,892 84e4f96a4f1c3cd27e422394bce1ebb62bcb309c561e6ae07fa5dc89a0167eb7
data/zero_shot_l1_l4_cells.jsonl 5,245,764 f5368c9bb9e35b2775ce138ec33d88e14f69b306efc84c93610637e7da8ea50f
data/zero_shot_l1_l4_cells.jsonl.gz 702,101 48ae31ef9a26152f2058391fe719ecb90fd5d239af9bbba036de3eb8f64376f8
Downloads last month
84