collection of benchmarks to measure basic GPU capabilities
☆517Oct 24, 2025Updated 6 months ago
Alternatives and similar repositories for gpu-benches
Users that are interested in gpu-benches are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆114Apr 19, 2024Updated 2 years ago
- Dissecting NVIDIA GPU Architecture☆121Jul 11, 2022Updated 3 years ago
- CUDA Kernel Benchmarking Library☆858Apr 22, 2026Updated last week
- An unofficial cuda assembler, for all generations of SASS, hopefully ：）☆582Apr 20, 2023Updated 3 years ago
- ☆51Jun 24, 2025Updated 10 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.
- A Easy-to-understand TensorOp Matmul Tutorial☆428Mar 5, 2026Updated 2 months ago
- A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)☆455Feb 7, 2026Updated 2 months ago
- Examples demonstrating available options to program multiple GPUs in a single node or a cluster☆883Sep 26, 2025Updated 7 months ago
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆543Sep 8, 2024Updated last year
- This is the top-level repository for the Accel-Sim framework.☆596Mar 24, 2026Updated last month
- Yinghan's Code Sample☆364Jul 25, 2022Updated 3 years ago
- Assembler for NVIDIA Volta and Turing GPUs☆241Jan 13, 2022Updated 4 years ago
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆415Jan 2, 2025Updated last year
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆193Jan 28, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆265Jul 11, 2024Updated last year
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆151May 10, 2025Updated 11 months ago
- Tile primitives for speedy kernels☆3,336Updated this week
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆762Aug 6, 2025Updated 8 months ago
- ☆66Apr 26, 2025Updated last year
- GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for…☆1,630Feb 15, 2025Updated last year
- ☆99May 31, 2025Updated 11 months ago
- ☆186May 7, 2025Updated 11 months ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,663Apr 25, 2026Updated last week
- 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.
- Awesome resources for GPUs☆614Mar 10, 2026Updated last month
- Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial☆359Mar 27, 2026Updated last month
- ☆159Dec 26, 2024Updated last year
- how to optimize some algorithm in cuda.☆2,952Apr 22, 2026Updated last week
- Matrix multiplication on GPUs for matrices stored on a CPU. Similar to cublasXt, but ported to both NVIDIA and AMD GPUs.☆32Apr 2, 2025Updated last year
- A simple high performance CUDA GEMM implementation.☆434Jan 4, 2024Updated 2 years ago
- Unofficial description of the CUDA assembly (SASS) instruction sets.☆211Jul 18, 2025Updated 9 months ago
- Perplexity GPU Kernels☆570Nov 7, 2025Updated 5 months ago
- Distributed Compiler based on Triton for Parallel Systems☆1,420Apr 22, 2026Updated last week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Examples of CUDA implementations by Cutlass CuTe☆272Jul 1, 2025Updated 10 months ago
- row-major matmul optimization☆723Feb 24, 2026Updated 2 months ago
- ☆57Feb 24, 2026Updated 2 months ago
- ☆120May 16, 2025Updated 11 months ago
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,295Aug 28, 2025Updated 8 months ago
- ☆41Apr 3, 2022Updated 4 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…☆1,290Jul 29, 2023Updated 2 years ago