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

• lixiuhong / batched_gemm
  ☆38Updated 5 years ago
• sunlex0717 / DissectingTensorCores
  ☆95Updated last year
• wmmae / wmma_extension
  An extension library of WMMA API (Tensor Core API)
  ☆96Updated 9 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆106Updated 9 months ago
• ColfaxResearch / cfx-article-src
  ☆102Updated last month
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆61Updated 7 months ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆91Updated 6 years ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆91Updated 3 weeks ago
• reed-lau / cute-gemm
  ☆115Updated 4 months ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆63Updated 8 months ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆108Updated 7 months ago
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆130Updated 4 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 …
  ☆181Updated 2 months ago
• xlite-dev / hgemm-tensorcores-mma
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆73Updated 3 weeks ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆159Updated 2 months ago
• zeroine / cutlass-cute-sample
  ☆30Updated last year
• daadaada / gas
  ☆44Updated 4 years ago
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆90Updated last year
• CalebDu / Awesome-Cute
  ☆60Updated this week
• mmperf / mmperf
  MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.
  ☆130Updated last year
• ParCIS / Magicube
  Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
  ☆86Updated 2 years ago
• Qwesh157 / conv_op_optimization
  This project is about convolution operator optimization on GPU, include GEMM based (Implicit GEMM) convolution.
  ☆29Updated 3 months ago
• intel / xetla
  ☆60Updated 4 months ago
• sjfeng1999 / gpu-arch-microbenchmark
  Dissecting NVIDIA GPU Architecture
  ☆91Updated 2 years ago
• yifuwang / symm-mem-recipes
  ☆66Updated 3 months ago
• masahi / tvm-cutlass-eval
  ☆38Updated 3 years ago
• ZhangJingrong / gpu_topK_benchmark
  GPU TopK Benchmark
  ☆14Updated 4 months ago
• gty111 / GEMM_MMA
  Optimize GEMM with tensorcore step by step
  ☆25Updated last year
• c3sr / tcu_scope
  ☆50Updated 5 years ago
• carlushuang / cpu_gemm_opt
  how to design cpu gemm on x86 with avx256, that can beat openblas.
  ☆70Updated 6 years ago