Assembler for NVIDIA Maxwell architecture
☆1,074Jan 3, 2023Updated 3 years ago
Alternatives and similar repositories for maxas
Users that are interested in maxas are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Assembler for NVIDIA Volta and Turing GPUs☆247Jan 13, 2022Updated 4 years ago
- An unofficial cuda assembler, for all generations of SASS, hopefully ：）☆616Apr 20, 2023Updated 3 years ago
- assembler for NVIDIA FERMI. Imported from Google Code☆77Mar 22, 2015Updated 11 years ago
- Third party assembler and GEMM library for NVIDIA Kepler GPU☆86Oct 8, 2019Updated 6 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆138May 8, 2017Updated 9 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,231Updated this week
- ☆2,031Jul 29, 2023Updated 3 years ago
- ☆49Dec 11, 2020Updated 5 years ago
- Yinghan's Code Sample☆365Jul 25, 2022Updated 4 years ago
- [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl☆1,841Oct 9, 2023Updated 2 years ago
- Open single and half precision gemm implementations☆396Apr 2, 2023Updated 3 years ago
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆422Jan 2, 2025Updated last year
- GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for…☆1,694Feb 15, 2025Updated last year
- Flexible GPGPU instrumentation☆91Oct 10, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Unofficial description of the CUDA assembly (SASS) instruction sets.☆237Jul 18, 2025Updated last year
- Low-precision matrix multiplication☆1,845Jan 29, 2024Updated 2 years ago
- An Open Source Kepler GPU Assembler☆22Jan 23, 2017Updated 9 years ago
- A simple high performance CUDA GEMM implementation.☆437Jan 4, 2024Updated 2 years ago
- Library for specialized dense and sparse matrix operations, and deep learning primitives.☆973Updated this week
- Winograd minimal convolution algorithm generator for convolutional neural networks.☆629Feb 9, 2026Updated 6 months ago
- CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of the assembly.☆129Jan 17, 2023Updated 3 years ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,002Sep 19, 2024Updated last year
- Patterns and behaviors for GPU computing☆1,788Jan 17, 2026Updated 6 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆563Sep 8, 2024Updated last year
- Source code examples from the Parallel Forall Blog☆1,331Sep 23, 2025Updated 10 months ago
- CUDA Kernel Benchmarking Library☆917Updated this week
- ☆115Apr 19, 2024Updated 2 years 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…☆1,343Jul 29, 2023Updated 3 years ago
- A GPU benchmark suite for assessing on-chip GPU memory bandwidth☆113Aug 12, 2017Updated 9 years ago
- row-major matmul optimization☆749May 14, 2026Updated 2 months ago
- Open Machine Learning Compiler Framework☆13,665Updated this week
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆298Nov 28, 2018Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Benchmarking Deep Learning operations on different hardware☆1,107Apr 25, 2021Updated 5 years ago
- A framework that helps implementing swizzle GPU kernels☆50Feb 29, 2020Updated 6 years ago
- ☆160Dec 26, 2024Updated last year
- Easy benchmarking of all publicly accessible implementations of convnets☆2,686Jun 9, 2017Updated 9 years ago
- ☆55Nov 21, 2019Updated 6 years ago
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆35Jul 28, 2020Updated 6 years ago
- A list of awesome compiler projects and papers for tensor computation and deep learning.☆2,770Oct 19, 2024Updated last year