AI Briefing#gemm
The latest AI and developer news about #gemm, with the original source and a short summary.
The latest AI and developer news about #gemm, with the original source and a short summary.
A new Helion linear backend for vLLM uses AOT autotuning to outperform CUTLASS and DeepGEMM baselines on NVIDIA Hopper GPUs, with >10% throughput gains on some workloads.
MSLK has organized Attention, GEMM, and MoE kernel usage in one place.
A GPU programming guide covering Blackwell architecture optimization techniques, based on a Carnegie Mellon University course, has been released.
Proposes CODA, a GPU kernel abstraction that uses the GEMM-Epilogue approach to solve the memory bottleneck in Transformer training.
CODA, a GPU kernel abstraction that solves the memory bottleneck in Transformer training, has been released
Hugging Face has released a tool that makes it easy to build and share ROCm kernels for AMD GPUs.