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AutoMegaKernel compiles Llama models into single CUDA kernels

By PulseAugur Editorial · [2 sources] ·

Researchers have developed AutoMegaKernel (AMK), a system that compiles Llama-family models into a single, cooperative CUDA kernel for efficient forward passes. AMK includes a validator to statically certify deadlock and race freedom in proposed schedules, rejecting unsafe ones before execution. The system supports retargeting across different NVIDIA GPUs and has demonstrated competitive performance, with an int8 megakernel outperforming cuBLAS bf16 at batch-1 decode on certain datacenter GPUs. AI

IMPACT Optimizes LLM inference on NVIDIA GPUs, potentially improving efficiency and performance for AI applications.

RANK_REASON The cluster describes a new academic paper detailing a novel system for model compilation and optimization. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Jaber Jaber, Osama Jaber ·

    AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis

    arXiv:2606.09682v1 Announce Type: new Abstract: AutoMegaKernel (AMK) compiles a HuggingFace Llama-family model into a single persistent cooperative CUDA kernel that runs the whole forward pass in one launch, with no per-model hand-written CUDA. The contribution is the system, not…

  2. arXiv cs.LG TIER_1 English(EN) · Osama Jaber ·

    AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis

    AutoMegaKernel (AMK) compiles a HuggingFace Llama-family model into a single persistent cooperative CUDA kernel that runs the whole forward pass in one launch, with no per-model hand-written CUDA. The contribution is the system, not raw speed. A frozen schedule-IR validator stati…

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