Alternatives and similar repositories for parallel-computing-tutorial

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

• mit-han-lab / tinychat-tutorial
  ☆77Updated last year
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆148Updated 8 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆100Updated last year
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆192Updated last year
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆405Updated 3 weeks ago
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆248Updated 2 weeks ago
• flagos-ai / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆287Updated last year
• dsl-learn / cutile-learn
  NVIDIA cuTile learn
  ☆154Updated last month
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆483Updated 2 weeks ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆270Updated 7 months ago
• AlibabaPAI / FLASHNN
  ☆105Updated last year
• mlc-ai / notebooks
  ☆221Updated last year
• ColfaxResearch / cutlass-kernels
  ☆258Updated last year
• ByteDance-Seed / cudaLLM
  ☆129Updated 5 months ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆256Updated last year
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆96Updated 4 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆319Updated last week
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆105Updated 7 years 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.
  ☆44Updated 11 months ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆233Updated 2 years ago
• CalebDu / Awesome-Cute
  ☆112Updated 8 months ago
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆135Updated 2 years ago
• MARD1NO / CUDA-PPT
  ☆119Updated 10 months ago
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆114Updated 6 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆291Updated 4 months ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆113Updated last year
• zeroine / cutlass-cute-sample
  ☆49Updated last year
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆71Updated last year
• AyakaGEMM / Hands-on-GEMM
  ☆144Updated last year
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆92Updated 2 years ago