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

• sunlex0717 / DissectingTensorCores
  ☆92Updated 11 months ago
• lixiuhong / batched_gemm
  ☆39Updated 5 years ago
• wmmae / wmma_extension
  An extension library of WMMA API (Tensor Core API)
  ☆91Updated 8 months ago
• ColfaxResearch / cfx-article-src
  ☆90Updated 2 weeks ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆90Updated last month
• xlite-dev / hgemm-mma
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆62Updated 3 weeks ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆85Updated 6 years ago
• reed-lau / cute-gemm
  ☆112Updated 3 months ago
• intel / xetla
  ☆61Updated 3 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆101Updated 8 months ago
• FdyCN / PTX-ISA
  CUDA PTX-ISA Document 中文翻译版
  ☆37Updated last week
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆89Updated 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 …
  ☆179Updated 2 months ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆106Updated 6 months ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆60Updated 7 months ago
• daadaada / gas
  ☆43Updated 4 years ago
• sjfeng1999 / gpu-arch-microbenchmark
  Dissecting NVIDIA GPU Architecture
  ☆90Updated 2 years ago
• mmperf / mmperf
  MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.
  ☆129Updated last year
• Qwesh157 / conv_op_optimization
  This project is about convolution operator optimization on GPU, include GEMM based (Implicit GEMM) convolution.
  ☆27Updated 3 months ago
• zeroine / cutlass-cute-sample
  ☆29Updated 11 months ago
• 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
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆58Updated 6 months ago
• yifuwang / symm-mem-recipes
  ☆57Updated 3 months ago
• c3sr / tcu_scope
  ☆49Updated 5 years ago
• masahi / tvm-cutlass-eval
  ☆38Updated 2 years ago
• AlibabaPAI / FLASHNN
  ☆88Updated 6 months ago
• parasailteam / coconet
  ☆76Updated 2 years ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆146Updated last month
• lenLRX / AmpereSparseMatmul
  study of Ampere' Sparse Matmul
  ☆17Updated 4 years ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆145Updated 2 months ago