flame / how-to-optimize-gemm
☆1,841Updated last year
Alternatives and similar repositories for how-to-optimize-gemm:
Users that are interested in how-to-optimize-gemm are comparing it to the libraries listed below
- BLISlab: A Sandbox for Optimizing GEMM☆507Updated 3 years ago
- row-major matmul optimization☆611Updated last year
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆979Updated 6 months ago
- Low-precision matrix multiplication☆1,794Updated last year
- The Tensor Algebra SuperOptimizer for Deep Learning☆704Updated 2 years ago
- A CPU tool for benchmarking the peak of floating points☆528Updated 5 months ago
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆960Updated last year
- Dive into Deep Learning Compiler☆647Updated 2 years ago
- Winograd minimal convolution algorithm generator for convolutional neural networks.☆614Updated 4 years ago
- compiler learning resources collect.☆2,317Updated 9 months ago
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆329Updated 2 months ago
- A list of awesome compiler projects and papers for tensor computation and deep learning.☆2,517Updated 5 months ago
- Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure☆830Updated this week
- Assembler for NVIDIA Maxwell architecture☆981Updated 2 years ago
- An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).☆571Updated last week
- MegCC是一个运行时超轻量,高效,移植简单的深度学习模型编译器☆480Updated 5 months ago
- [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl☆1,735Updated last year
- A primitive library for neural network☆1,324Updated 3 months ago
- Library for specialized dense and sparse matrix operations, and deep learning primitives.☆867Updated this week
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆367Updated 6 months ago
- Yinghan's Code Sample☆313Updated 2 years ago
- how to optimize some algorithm in cuda.☆2,022Updated this week
- A simple high performance CUDA GEMM implementation.☆353Updated last year
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆852Updated 2 months ago
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,277Updated this week
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆462Updated last year
- Machine learning compiler based on MLIR for Sophgo TPU.☆694Updated last week
- Hands-On Practical MLIR Tutorial☆427Updated last year
- oneAPI Deep Neural Network Library (oneDNN)☆3,750Updated this week
- Fast CUDA matrix multiplication from scratch☆663Updated last year