| schema_version = "1.1" | |
| [task] | |
| name = "mle-bench/megakernel-batch4-decode" | |
| description = "The batched form of the whole-model decode megakernel: four independent sequences decode in lockstep through one persistent kernel. The weight stream is shared across all four, so the per-token roofline is a quarter of the batch-1 task and the inner multiplies become 4-row GEMMs -- which is exactly where an unfused implementation wastes the reuse." | |
| authors = [] | |
| keywords = ["mle", "kernel-generation", "megakernel", "persistent-kernel", "decode", "batching", "low-latency", "memory-bound"] | |
| [metadata] | |
| suite = "mle-bench" | |
| group = "kernel-generation" | |
| level = "1.0" | |
| difficulty = "hard" | |
| category = "mle" | |
| tags = [ "mle", "kernel-generation", "kernels", "gpu", "real-world",] | |
| [verifier] | |
| timeout_sec = 2700.0 | |
| [agent] | |
| timeout_sec = 14400.0 | |
| # GPU request: honored by Modal/GKE/Daytona. On the local docker backend set environment.override_gpus: 0 | |
| # in the job config and attach a GPU via configs/gpu_overlay_nvidia.yaml (see RUNNING.md §5). | |
| # Profiling: `ncu` needs GPU performance counters — the runner must add the SYS_ADMIN capability | |
| # (docker `--cap-add SYS_ADMIN`) or the host must set NVreg_RestrictProfilingToAdminUsers=0. | |
| # Without it ncu exits with ERR_NVGPUCTRPERM. `nsys` works without any extra capability. | |
| [environment] | |
| build_timeout_sec = 3600.0 | |
| cpus = 8 | |
| memory_mb = 65536 | |
| storage_mb = 40960 | |
| gpus = 1 | |
| network_mode = "public" | |
| mcp_servers = [] | |
| [verifier.env] | |
| [environment.env] | |
| [solution.env] | |