deepseek-ai / DeepGEMM

TL;DR

DeepGEMM is a high-performance tensor core kernel library that integrates essential computation primitives for large language models into a single CUDA codebase, achieving performance that rivals expert-tuned libraries. It simplifies GPU kernel optimization with a limited set of core functions and runtime compilation via DeepJIT.

✦ Why It Matters

Explore DeepGEMM today to enhance your GPU kernel optimization strategies without complex setups.

Key Takeaways

Utilize DeepGEMM for optimized GEMM operations on NVIDIA GPUs.
Leverage runtime compilation with DeepJIT for easier installation.
Explore specialized APIs for efficient inference and training.
Achieve high performance with up to 1550 TFLOPS on H800 GPUs.

How It Works

DeepGEMM compiles its kernels at runtime using DeepJIT, which allows for dynamic optimization without pre-installation compilation. It integrates various matrix multiplication formats and advanced features like Mega MoE, which combines multiple operations into a single kernel to enhance performance and reduce communication overhead.

The library's design focuses on simplicity, providing a limited set of core functions that are easy to learn and use.

deepseek-ai / DeepGEMM

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