leimao / CUDA-GEMM-Optimization

Related projects: ⓘ

• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆265Updated this week
• ColfaxResearch / cutlass-kernels
  ☆138Updated 2 months ago
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆109Updated 4 years ago
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆207Updated 2 years ago
• 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…
  ☆264Updated last week
• TiledTensor / TiledCUDA
  TiledCUDA is a highly efficient kernel template library designed to elevate CUDA C’s level of abstraction for processing tiles.
  ☆114Updated last week
• te42kyfo / gpu-benches
  collection of benchmarks to measure basic GPU capabilities
  ☆241Updated 2 months ago
• Cjkkkk / CUDA_gemm
  A simple high performance CUDA GEMM implementation.
  ☆319Updated 8 months ago
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆40Updated last week
• sunlex0717 / DissectingTensorCores
  ☆73Updated 5 months ago
• wmmae / wmma_extension
  An extension library of WMMA API (Tensor Core API)
  ☆81Updated 2 months ago
• reed-lau / cute-gemm
  ☆69Updated 6 months ago
• mit-han-lab / parallel-computing-tutorial
  ☆134Updated last year
• microsoft / triton-shared
  Shared Middle-Layer for Triton Compilation
  ☆157Updated last week
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆81Updated last year
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆82Updated 6 months ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆91Updated last week
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆81Updated 2 months ago
• nicolaswilde / cuda-tensorcore-hgemm
  ☆95Updated 2 years ago
• NVIDIA / nsight-training
  Training material for Nsight developer tools
  ☆123Updated last month
• cwpearson / nvidia-performance-tools
  Instructions, Docker images, and examples for Nsight Compute and Nsight Systems
  ☆126Updated 4 years ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆133Updated 2 months ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆52Updated 6 years ago
• microsoft / microxcaling
  PyTorch emulation library for Microscaling (MX)-compatible data formats
  ☆143Updated last month
• njuhope / cuda_sgemm
  ☆100Updated 5 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆173Updated 3 months ago
• AlibabaPAI / FLASHNN
  ☆67Updated last week
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆129Updated last year
• InfiniTensor / InfiniTensor
  ☆151Updated 2 weeks ago
• Shigangli / Magicube
  Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
  ☆79Updated last year