uccl-project/mKernel
mKernel: fast multi-node, multi-GPU fused kernels
GitHub repository with 216 stars and 20 forks.
Language: Cuda
mKernel: fast multi-node, multi-GPU fused kernels
GitHub repository with 216 stars and 20 forks.
Language: Cuda
Trending score 0.76, activity score 0.04, stars gained +5, forks gained +1.
2026-06-05: 216 stars and 20 forks.
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
GitHub repository with 1,179 stars and 204 forks.
Trending score: 1.09; stars gained: +9; forks gained: +0.
Language: Cuda
Topics: gpt, inference, llama, llm, llm-serving, llmops
Minimal FlashAttention in CUDA C++/CuTe: readable WMMA/CuTe kernels, no NxN workspace, up to 4.5x faster than naive PyTorch
GitHub repository with 21 stars and 1 forks.
Trending score: 1.02; stars gained: +9; forks gained: +1.
Language: Cuda
Topics: attention, cuda, cute, cutlass, flash-attention, flashattention
CUDA Library Samples
GitHub repository with 2,424 stars and 459 forks.
Trending score: 0.79; stars gained: +5; forks gained: +1.
Language: Cuda
Topics: cufft, curand, cusolver, cusparse, nvjpeg, cudss
mKernel: fast multi-node, multi-GPU fused kernels
GitHub repository with 216 stars and 20 forks.
Trending score: 0.76; stars gained: +5; forks gained: +1.
Language: Cuda
Graphics Processing Units Molecular Dynamics
GitHub repository with 782 stars and 186 forks.
Trending score: 0.69; stars gained: +4; forks gained: +2.
Language: Cuda
Topics: cuda, gpu, gpumd, heat-transport, high-performance-computing, machine-learning
Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
GitHub repository with 2,290 stars and 214 forks.
Trending score: 0.60; stars gained: +3; forks gained: -1.
Language: Cuda
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
GitHub repository with 1,179 stars and 204 forks.
Trending score: 1.09; stars gained: +9; forks gained: +0.
Language: Cuda
Topics: gpt, inference, llama, llm, llm-serving, llmops
Minimal FlashAttention in CUDA C++/CuTe: readable WMMA/CuTe kernels, no NxN workspace, up to 4.5x faster than naive PyTorch
GitHub repository with 21 stars and 1 forks.
Trending score: 1.02; stars gained: +9; forks gained: +1.
Language: Cuda
Topics: attention, cuda, cute, cutlass, flash-attention, flashattention
CUDA Library Samples
GitHub repository with 2,424 stars and 459 forks.
Trending score: 0.79; stars gained: +5; forks gained: +1.
Language: Cuda
Topics: cufft, curand, cusolver, cusparse, nvjpeg, cudss
mKernel: fast multi-node, multi-GPU fused kernels
GitHub repository with 216 stars and 20 forks.
Trending score: 0.76; stars gained: +5; forks gained: +1.
Language: Cuda
Graphics Processing Units Molecular Dynamics
GitHub repository with 782 stars and 186 forks.
Trending score: 0.69; stars gained: +4; forks gained: +2.
Language: Cuda
Topics: cuda, gpu, gpumd, heat-transport, high-performance-computing, machine-learning
Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
GitHub repository with 2,290 stars and 214 forks.
Trending score: 0.60; stars gained: +3; forks gained: -1.
Language: Cuda