microsoft / microxcaling
PyTorch emulation library for Microscaling (MX)-compatible data formats
☆215Updated 6 months ago
Alternatives and similar repositories for microxcaling:
Users that are interested in microxcaling are comparing it to the libraries listed below
- PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.☆107Updated 4 months ago
- ☆142Updated 2 years ago
- ☆197Updated 9 months ago
- ☆94Updated 11 months ago
- Shared Middle-Layer for Triton Compilation☆241Updated this week
- Fast Hadamard transform in CUDA, with a PyTorch interface☆168Updated 10 months ago
- ☆93Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆103Updated 9 months ago
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆51Updated last year
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆176Updated 2 years ago
- ☆97Updated last month
- This repository contains integer operators on GPUs for PyTorch.☆200Updated last year
- Assembler for NVIDIA Volta and Turing GPUs☆216Updated 3 years ago
- A Easy-to-understand TensorOp Matmul Tutorial☆340Updated 6 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆247Updated 5 months ago
- ☆139Updated 8 months ago
- Experimental projects related to TensorRT☆95Updated this week
- Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators☆107Updated 2 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆85Updated 2 years ago
- CUDA Matrix Multiplication Optimization☆179Updated 8 months ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆134Updated 2 years ago
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆383Updated 7 months ago
- Dissecting NVIDIA GPU Architecture☆90Updated 2 years ago
- ☆53Updated last year
- ☆64Updated 3 months ago
- Development repository for the Triton-Linalg conversion☆182Updated 2 months ago
- Fast low-bit matmul kernels in Triton☆285Updated this week
- ☆38Updated 3 years ago
- OpenAI Triton backend for Intel® GPUs☆175Updated this week
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆579Updated 2 months ago