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
  ☆298Updated 2 months ago
• TiledTensor / TiledCUDA
  TiledCUDA is a highly efficient kernel template library designed to elevate CUDA C’s level of abstraction for processing tiles.
  ☆167Updated 3 weeks ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆115Updated 3 weeks ago
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆222Updated 5 months ago
• reed-lau / cute-gemm
  ☆86Updated last week
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆145Updated 4 months ago
• ColfaxResearch / cutlass-kernels
  ☆173Updated 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.
  ☆30Updated 3 months ago
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆85Updated last year
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆50Updated 3 months ago
• MARD1NO / CUDA-PPT
  ☆79Updated last year
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆123Updated last year
• SiriusNEO / Triton-Puzzles-Lite
  Puzzles for learning Triton, play it with minimal environment configuration!
  ☆158Updated 2 weeks ago
• AlibabaPAI / FLASHNN
  ☆79Updated 3 months ago
• mit-han-lab / tinychat-tutorial
  ☆55Updated last month
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆99Updated 3 months ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆53Updated 4 months ago
• bytedance / flux
  A fast communication-overlapping library for tensor parallelism on GPUs.
  ☆237Updated last month
• AyakaGEMM / Hands-on-GEMM
  ☆101Updated 8 months ago
• mlc-ai / notebooks
  ☆198Updated 3 weeks ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆139Updated last month
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆86Updated 9 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆225Updated 6 months ago
• weishengying / tiny-flash-attention
  使用 cutlass 实现 flash-attention 精简版，具有教学意义
  ☆32Updated 4 months ago
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆92Updated last week
• ifromeast / cuda_learning
  learning how CUDA works
  ☆171Updated 4 months ago
• Cjkkkk / CUDA_gemm
  A simple high performance CUDA GEMM implementation.
  ☆338Updated 11 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆187Updated last year
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆91Updated 5 months ago
• OpenPPL / ppl.nn.llm
  ☆140Updated 7 months ago