Alternatives and similar repositories for parallel-computing-tutorial

Users that are interested in parallel-computing-tutorial are comparing it to the libraries listed below

• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆359Updated 8 months ago
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆368Updated 3 weeks ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆188Updated 4 months ago
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆182Updated 4 months ago
• mit-han-lab / tinychat-tutorial
  ☆66Updated 6 months ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆188Updated 10 months ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆79Updated 3 weeks ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆85Updated 5 months ago
• Cjkkkk / CUDA_gemm
  A simple high performance CUDA GEMM implementation.
  ☆374Updated last year
• ColfaxResearch / cutlass-kernels
  ☆208Updated 10 months ago
• SiriusNEO / Triton-Puzzles-Lite
  Puzzles for learning Triton, play it with minimal environment configuration!
  ☆334Updated 6 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆226Updated 4 months ago
• CalebDu / Awesome-Cute
  ☆73Updated 2 weeks ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆205Updated last year
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆327Updated 3 years ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆93Updated 6 years ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆271Updated 11 months ago
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆92Updated this week
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆130Updated last year
• xlite-dev / ffpa-attn
  📚FFPA(Split-D): Extend FlashAttention with Split-D for large headdim, O(1) GPU SRAM complexity, 1.8x~3x↑🎉 faster than SDPA EA.
  ☆183Updated 3 weeks ago
• ColfaxResearch / cfx-article-src
  ☆109Updated 3 weeks ago
• reed-lau / cute-gemm
  ☆121Updated 5 months ago
• 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.
  ☆37Updated 3 months ago
• mlc-ai / notebooks
  ☆204Updated 6 months ago
• AyakaGEMM / Hands-on-GEMM
  ☆134Updated last year
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆384Updated this week
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆109Updated 8 months ago
• AlibabaPAI / FLASHNN
  ☆95Updated 8 months ago
• microsoft / SparTA
  ☆146Updated 10 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆210Updated this week