66RING / tiny-flash-attention

Related projects ⓘ

Alternatives and complementary repositories for tiny-flash-attention

• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆290Updated 2 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆98Updated last week
• Bruce-Lee-LY / flash_attention_inference
  Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
  ☆29Updated 2 months ago
• ColfaxResearch / cutlass-kernels
  ☆167Updated 4 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆219Updated 5 months ago
• bytedance / flux
  A fast communication-overlapping library for tensor parallelism on GPUs.
  ☆224Updated 3 weeks ago
• AlibabaPAI / FLASHNN
  ☆79Updated 2 months ago
• reed-lau / cute-gemm
  ☆79Updated 8 months ago
• ifromeast / cuda_learning
  learning how CUDA works
  ☆169Updated 3 months ago
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆238Updated last week
• SiriusNEO / Triton-Puzzles-Lite
  Puzzles for learning Triton, play it with minimal environment configuration!
  ☆121Updated last week
• Bruce-Lee-LY / cuda_hgemm
  Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…
  ☆302Updated 2 months ago
• FlagOpen / FlagGems
  FlagGems is an operator library for large language models implemented in Triton Language.
  ☆342Updated this week
• AyakaGEMM / Hands-on-GEMM
  ☆99Updated 8 months ago
• TiledTensor / TiledCUDA
  TiledCUDA is a highly efficient kernel template library designed to elevate CUDA C’s level of abstraction for processing tiles.
  ☆154Updated this week
• Cjkkkk / CUDA_gemm
  A simple high performance CUDA GEMM implementation.
  ☆335Updated 10 months ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆138Updated 2 weeks ago
• OpenPPL / ppl.nn.llm
  ☆140Updated 6 months ago
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆87Updated last month
• MARD1NO / CUDA-PPT
  ☆79Updated last year
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆52Updated 3 months ago
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆240Updated 2 years ago
• chenhongyu2048 / LLM-inference-optimization-paper
  Summary of some awesome work for optimizing LLM inference
  ☆37Updated 2 weeks ago
• mlc-ai / notebooks
  ☆189Updated 2 months ago
• mit-han-lab / parallel-computing-tutorial
  ☆143Updated last year
• OpenPPL / ppl.pmx
  ☆57Updated 2 weeks ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆90Updated 4 months ago
• galeselee / Awesome_LLM_System-PaperList
  Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…
  ☆175Updated 2 weeks ago
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆49Updated 2 months ago
• LLMServe / SwiftTransformer
  High performance Transformer implementation in C++.
  ☆82Updated 2 months ago