Add tesla_t4_colab

data/tesla_t4_colab/bandwidth.csv

@@ -0,0 +1,13 @@
+op,size_mb,median_ms,p10_ms,p90_ms,gbs
+copy,1,0.020576000213623047,0.019392000511288643,0.03251200169324875,101.9
+add,1,0.022463999688625336,0.02115200087428093,0.06159999966621399,140.0
+sum,1,0.03283200040459633,0.03014400042593479,0.07958400249481201,31.9
+copy,16,0.15804799646139145,0.14876799285411835,0.17846399545669556,212.3
+add,16,0.21851199865341187,0.21648000180721283,0.22732800245285034,230.3
+sum,16,0.08382400125265121,0.08003199845552444,0.10815999656915665,200.1
+copy,256,2.3019518852233887,2.2958080768585205,2.3080639839172363,233.2
+add,256,3.3715360164642334,3.365056037902832,3.378495931625366,238.9
+sum,256,0.9928480088710785,0.9889280200004578,1.0045440196990967,270.4
+copy,1024,9.221920013427734,9.197504043579102,9.234432220458984,232.9
+add,1024,13.42625617980957,13.410304069519043,13.440959930419922,239.9
+sum,1024,3.898959994316101,3.8925440311431885,3.916032075881958,275.4

data/tesla_t4_colab/hardware.json

@@ -0,0 +1,22 @@
+{
+  "env": {
+    "timestamp": "2026-10-19T06:00:04+00:00",
+    "platform": "colab",
+    "torch": "2.11.0+cu130",
+    "gpu": "Tesla T4",
+    "gpu_mem_gb": 14.6
+  },
+  "launch_overhead_us": 34.68,
+  "copy_gbs": 232.9,
+  "add_gbs": 239.9,
+  "fp32_tflops": 4.16,
+  "fp32_size_at_70pct": 3072,
+  "fp32_ridge_flop_per_byte": 17.8,
+  "fp16_tflops": 40.18,
+  "fp16_size_at_70pct": 1536,
+  "fp16_ridge_flop_per_byte": 172.5,
+  "fp16_tflops_burst": 40.18,
+  "fp16_tflops_hot_2048": 24.79,
+  "fp16_tflops_sustained": 23.09,
+  "fp16_ridge_sustained_flop_per_byte": 99.1
+}

data/tesla_t4_colab/matmul.csv

@@ -0,0 +1,27 @@
+dtype,m,k,n,kind,median_ms,p10_ms,p90_ms,tflops,intensity
+fp32,256,256,256,square,0.0716640017926693,0.0679040029644966,0.0799039974808693,0.468,42.7
+fp32,512,512,512,square,0.1781919971108436,0.1531199961900711,0.2016959935426712,1.506,85.3
+fp32,1024,1024,1024,square,0.8622080087661743,0.8521919846534729,0.8796160221099854,2.491,170.7
+fp32,1536,1536,1536,square,2.632815957069397,2.6250240802764893,2.662048101425171,2.753,256.0
+fp32,2048,2048,2048,square,6.101439952850342,6.082560062408447,6.1212477684021,2.816,341.3
+fp32,3072,3072,3072,square,14.24903964996338,12.724127769470217,14.32969570159912,4.069,512.0
+fp32,4096,4096,4096,square,33.06648063659668,32.276702880859375,33.21788787841797,4.156,682.7
+fp32,6144,6144,6144,square,125.33332443237305,125.26937866210938,126.08246612548828,3.701,1024.0
+fp32,8192,8192,8192,square,276.3374328613281,274.6716613769531,279.6728820800781,3.979,1365.3
+fp32,8192,768,2304,model,5.9617919921875,5.77942419052124,7.100224018096924,4.863,269.1
+fp32,8192,768,3072,model,9.571232318878174,9.244671821594238,9.747743606567385,4.039,285.8
+fp32,8192,3072,768,model,8.195199966430664,7.806623935699463,8.380831718444824,4.717,285.8
+fp32,8192,768,50304,model,137.61854553222656,136.86358642578125,138.4594268798828,4.599,346.3
+fp16,256,256,256,square,0.0336639992892742,0.0327679999172687,0.042943999171257,0.997,85.3
+fp16,512,512,512,square,0.0968000032007694,0.0641599968075752,0.1228799968957901,2.773,170.7
+fp16,1024,1024,1024,square,0.0779679976403713,0.0756160020828247,0.1046399995684623,27.543,341.3
+fp16,1536,1536,1536,square,0.1852639988064766,0.1805440038442611,0.220671996474266,39.121,512.0
+fp16,2048,2048,2048,square,0.4276160001754761,0.419840008020401,0.4544320106506347,40.176,682.7
+fp16,3072,3072,3072,square,1.4726880192756653,1.418239951133728,2.566431999206543,39.372,1024.0
+fp16,4096,4096,4096,square,5.99401593208313,5.965824127197266,6.3442559242248535,22.929,1365.3
+fp16,6144,6144,6144,square,25.797632217407227,25.00780868530273,25.829376220703125,17.981,2048.0
+fp16,8192,8192,8192,square,47.25764656066895,46.47872161865234,49.05788803100586,23.266,2730.7
+fp16,8192,768,2304,model,1.3200960159301758,1.2940479516983032,1.3322880268096924,21.961,538.2
+fp16,8192,768,3072,model,1.5641120076179504,1.5401279926300049,1.7643840312957764,24.714,571.5
+fp16,8192,3072,768,model,1.6350719928741455,1.5944639444351196,1.6633599996566772,23.641,571.5
+fp16,8192,768,50304,model,28.092304229736328,27.90233612060547,28.513792037963867,22.532,692.5

data/tesla_t4_colab/train_step.csv

@@ -0,0 +1,3 @@
+preset,seq_len,n_kv_head,window,batch,precision,ckpt,tag,attn_type,params,tokens,gpu,platform,timestamp,status,step_ms,p10_ms,p90_ms,tokens_per_s,peak_mem_gb,approx_tflops,sm_mhz,power_w,temp_c
+125m,1024,12,0,8,fp16,False,v2,mha,124392960,8192,Tesla T4,colab,2026-10-19T05:17:05+00:00,ok,506.47,504.41,508.59,16175.0,8.97,12.99,825.7,66.6,62.6
+125m,1024,12,0,8,fp16,False,v2_repeat,mha,124392960,8192,Tesla T4,colab,2026-10-19T05:17:05+00:00,ok,526.62,525.52,527.92,15556.0,9.01,12.49,749.7,66.8,67.0