Assembler for NVIDIA Maxwell architecture
☆1,070Jan 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☆245Jan 13, 2022Updated 4 years ago
- An unofficial cuda assembler, for all generations of SASS, hopefully ：）☆593Apr 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☆85Oct 8, 2019Updated 6 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆137May 8, 2017Updated 9 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,868Updated this week
- ☆2,013Jul 29, 2023Updated 2 years ago
- ☆48Dec 11, 2020Updated 5 years ago
- Yinghan's Code Sample☆364Jul 25, 2022Updated 3 years ago
- [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl☆1,834Oct 9, 2023Updated 2 years ago
- Open single and half precision gemm implementations☆397Apr 2, 2023Updated 3 years ago
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆418Jan 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…☆1,640Feb 15, 2025Updated last year
- Flexible GPGPU instrumentation☆90Oct 10, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Low-precision matrix multiplication☆1,842Jan 29, 2024Updated 2 years ago
- An Open Source Kepler GPU Assembler☆21Jan 23, 2017Updated 9 years ago
- A simple high performance CUDA GEMM implementation.☆435Jan 4, 2024Updated 2 years ago
- Library for specialized dense and sparse matrix operations, and deep learning primitives.☆958Updated this week
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,001Sep 19, 2024Updated last year
- Winograd minimal convolution algorithm generator for convolutional neural networks.☆629Feb 9, 2026Updated 4 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
- Patterns and behaviors for GPU computing☆1,778Jan 17, 2026Updated 4 months ago
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆548Sep 8, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Unofficial description of the CUDA assembly (SASS) instruction sets.☆217Jul 18, 2025Updated 10 months ago
- Source code examples from the Parallel Forall Blog☆1,330Sep 23, 2025Updated 8 months ago
- ☆115Apr 19, 2024Updated 2 years ago
- A GPU benchmark suite for assessing on-chip GPU memory bandwidth☆112Aug 12, 2017Updated 8 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…☆1,310Jul 29, 2023Updated 2 years ago
- CUDA Kernel Benchmarking Library☆870Jun 4, 2026Updated last week
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆299Nov 28, 2018Updated 7 years ago
- Open Machine Learning Compiler Framework☆13,452Updated this week
- row-major matmul optimization☆730May 14, 2026Updated 3 weeks ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Benchmarking Deep Learning operations on different hardware☆1,106Apr 25, 2021Updated 5 years ago
- A framework that helps implementing swizzle GPU kernels☆50Feb 29, 2020Updated 6 years ago
- Easy benchmarking of all publicly accessible implementations of convnets☆2,690Jun 9, 2017Updated 9 years ago
- ☆191May 7, 2025Updated last year
- ☆160Dec 26, 2024Updated last year
- ☆55Nov 21, 2019Updated 6 years ago
- A CPU tool for benchmarking the peak of floating points☆583May 4, 2026Updated last month