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
  ☆134Updated last year
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆105Updated 2 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆191Updated last year
• clevercool / ANT-Quantization
  ☆89Updated last year
• ColfaxResearch / cutlass-kernels
  ☆180Updated 7 months ago
• sunlex0717 / DissectingTensorCores
  ☆87Updated 9 months ago
• UDC-GAC / venom
  A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
  ☆48Updated last year
• NVIDIA / TensorRT-Incubator
  Experimental projects related to TensorRT
  ☆89Updated this week
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆134Updated last year
• microsoft / triton-shared
  Shared Middle-Layer for Triton Compilation
  ☆224Updated this week
• pku-liang / FlexTensor
  Automatic Schedule Exploration and Optimization Framework for Tensor Computations
  ☆176Updated 2 years ago
• pku-liang / AMOS
  Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators
  ☆107Updated 2 years ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆234Updated 3 months ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆159Updated 6 months ago
• dgSPARSE / dgSPARSE-Lib
  PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity
  ☆102Updated last week
• ParCIS / Magicube
  Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
  ☆85Updated 2 years ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆316Updated 4 months ago
• microsoft / SparTA
  ☆134Updated 6 months ago
• NVlabs / timeloop
  Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.
  ☆364Updated this week
• aojunzz / NM-sparsity
  ☆220Updated 2 years ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆141Updated 8 months ago
• ChengZhang-98 / llm-mixed-q
  Official implementation of EMNLP'23 paper "Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?"
  ☆19Updated last year
• UDC-GAC / openCNN
  A Winograd Minimal Filter Implementation in CUDA
  ☆24Updated 3 years ago
• daadaada / turingas
  Assembler for NVIDIA Volta and Turing GPUs
  ☆211Updated 3 years ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆97Updated 7 months ago
• naver-aics / lut-gemm
  ☆50Updated 10 months ago
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆519Updated this week
• 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…
  ☆342Updated 5 months ago
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆197Updated 2 years ago
• sjfeng1999 / gpu-arch-microbenchmark
  Dissecting NVIDIA GPU Architecture
  ☆88Updated 2 years ago