Alternatives and similar repositories for microxcaling

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

• Qualcomm-AI-research / FP8-quantization
  ☆153Updated 2 years ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆110Updated 7 months ago
• sunlex0717 / DissectingTensorCores
  ☆102Updated last year
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆206Updated last year
• microsoft / SparTA
  ☆149Updated 11 months ago
• UDC-GAC / venom
  A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
  ☆52Updated last year
• naver-aics / lut-gemm
  ☆60Updated last year
• ColfaxResearch / cutlass-kernels
  ☆216Updated last year
• microsoft / triton-shared
  Shared Middle-Layer for Triton Compilation
  ☆258Updated this week
• clevercool / ANT-Quantization
  ☆103Updated last year
• ColfaxResearch / cfx-article-src
  ☆123Updated 2 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆112Updated last year
• pku-liang / FlexTensor
  Automatic Schedule Exploration and Optimization Framework for Tensor Computations
  ☆177Updated 3 years ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆365Updated 9 months ago
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆138Updated 2 years ago
• yifuwang / symm-mem-recipes
  ☆94Updated 6 months ago
• pku-liang / AMOS
  Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators
  ☆113Updated 2 years ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆255Updated 8 months ago
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆643Updated this week
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆201Updated last year
• NVIDIA / TensorRT-Incubator
  Experimental projects related to TensorRT
  ☆107Updated this week
• apache / tvm-rfcs
  A home for the final text of all TVM RFCs.
  ☆105Updated 9 months ago
• aojunzz / NM-sparsity
  ☆236Updated 2 years ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆201Updated 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.
  ☆89Updated 2 years ago
• daadaada / turingas
  Assembler for NVIDIA Volta and Turing GPUs
  ☆224Updated 3 years ago
• UDC-GAC / openCNN
  A Winograd Minimal Filter Implementation in CUDA
  ☆25Updated 3 years ago
• sjfeng1999 / gpu-arch-microbenchmark
  Dissecting NVIDIA GPU Architecture
  ☆99Updated 3 years ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆54Updated 5 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…
  ☆438Updated 10 months ago