Alternatives and similar repositories for Optimizing-SGEMV-on-NVIDIA-GPUs

Users that are interested in Optimizing-SGEMV-on-NVIDIA-GPUs are comparing it to the libraries listed below

• wmmae / wmma_extension
  An extension library of WMMA API (Tensor Core API)
  ☆106Updated last year
• sunlex0717 / DissectingTensorCores
  ☆109Updated last year
• mmperf / mmperf
  MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.
  ☆134Updated 2 years ago
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆143Updated 5 years ago
• lixiuhong / batched_gemm
  ☆39Updated 5 years ago
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆67Updated last year
• reed-lau / cute-gemm
  ☆137Updated 10 months ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆96Updated last month
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆102Updated 7 years 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 …
  ☆186Updated 9 months ago
• nicolaswilde / cuda-tensorcore-hgemm
  ☆156Updated 10 months ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆234Updated last year
• ColfaxResearch / cfx-article-src
  ☆151Updated 5 months ago
• zeroine / cutlass-cute-sample
  ☆46Updated last year
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆77Updated last year
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆92Updated 2 years ago
• MARD1NO / CUDA-PPT
  ☆109Updated 6 months ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆112Updated last year
• FdyCN / PTX-ISA
  CUDA PTX-ISA Document 中文翻译版
  ☆45Updated last month
• 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.
  ☆41Updated 8 months ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆150Updated 9 months ago
• masahi / tvm-cutlass-eval
  ☆40Updated 3 years ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆117Updated last year
• gty111 / GEMM_MMA
  Optimize GEMM with tensorcore step by step
  ☆32Updated last year
• ColfaxResearch / cutlass-kernels
  ☆241Updated last year
• pigirons / conv3x3_m1
  This is a demo how to write a high performance convolution run on apple silicon
  ☆56Updated 3 years ago
• daadaada / turingas
  Assembler for NVIDIA Volta and Turing GPUs
  ☆231Updated 3 years ago
• njuhope / cuda_sgemm
  ☆115Updated last year
• RRZE-HPC / gpu-benches
  collection of benchmarks to measure basic GPU capabilities
  ☆436Updated this week
• daadaada / gas
  ☆47Updated 4 years ago