Alternatives and similar repositories for blislab

Users that are interested in blislab are comparing it to the libraries listed below

• tpoisonooo / how-to-optimize-gemm
  row-major matmul optimization
  ☆649Updated last year
• pigirons / sgemm_hsw
  This is an implementation of sgemm_kernel on L1d cache.
  ☆229Updated last year
• flame / how-to-optimize-gemm
  ☆1,902Updated 2 years ago
• pigirons / cpufp
  A CPU tool for benchmarking the peak of floating points
  ☆557Updated 3 weeks ago
• yzhaiustc / Optimizing-SGEMM-on-NVIDIA-Turing-GPUs
  Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.
  ☆369Updated 7 months ago
• Cjkkkk / CUDA_gemm
  A simple high performance CUDA GEMM implementation.
  ☆392Updated last year
• deeperlearning / professional-cuda-c-programming
  ☆450Updated 10 years ago
• Yinghan-Li / YHs_Sample
  Yinghan's Code Sample
  ☆340Updated 3 years ago
• cloudcores / CuAssembler
  An unofficial cuda assembler, for all generations of SASS, hopefully ：）
  ☆523Updated 2 years ago
• yzhaiustc / Optimizing-DGEMM-on-Intel-CPUs-with-AVX512F
  Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually, even under multithreading.
  ☆150Updated 3 years ago
• daadaada / turingas
  Assembler for NVIDIA Volta and Turing GPUs
  ☆226Updated 3 years ago
• RRZE-HPC / gpu-benches
  collection of benchmarks to measure basic GPU capabilities
  ☆398Updated 5 months ago
• njuhope / cuda_sgemm
  ☆113Updated last year
• XiaoSong9905 / CUDA-Optimization-Guide
  Xiao's CUDA Optimization Guide [NO LONGER ADDING NEW CONTENT]
  ☆308Updated 2 years ago
• microsoft / nnfusion
  A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
  ☆992Updated 10 months 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…
  ☆445Updated 10 months ago
• buddy-compiler / buddy-mlir
  An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).
  ☆611Updated this week
• anilshanbhag / gpu-topk
  Efficient Top-K implementation on the GPU
  ☆183Updated 6 years ago
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆362Updated 3 years ago
• carlushuang / cpu_gemm_opt
  how to design cpu gemm on x86 with avx256, that can beat openblas.
  ☆71Updated 6 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆177Updated 6 years ago
• alibaba / heterogeneity-aware-lowering-and-optimization
  heterogeneity-aware-lowering-and-optimization
  ☆255Updated last year
• AnonymousYWL / LibShalom
  ☆28Updated last year
• Cambricon / triton-linalg
  Development repository for the Triton-Linalg conversion
  ☆190Updated 5 months ago
• Cambricon / mlu-ops
  Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .
  ☆124Updated this week
• nicolaswilde / cuda-tensorcore-hgemm
  ☆149Updated 7 months ago
• fsword73 / HIP-Performance-Optmization-on-VEGA64
  14 basic topics for VEGA64 performance optmization
  ☆61Updated 4 years ago
• tlc-pack / relax
  ☆196Updated 2 years ago
• KEKE046 / mlir-tutorial
  Hands-On Practical MLIR Tutorial
  ☆531Updated last year
• libxsmm / libxsmm
  Library for specialized dense and sparse matrix operations, and deep learning primitives.
  ☆888Updated this week