NVIDIA / accelerated-computing-hubLinks
NVIDIA curated collection of educational resources related to general purpose GPU programming.
☆538Updated 2 weeks ago
Alternatives and similar repositories for accelerated-computing-hub
Users that are interested in accelerated-computing-hub are comparing it to the libraries listed below
Sorting:
- NVIDIA Math Libraries for the Python Ecosystem☆330Updated 2 weeks ago
- Step-by-step optimization of CUDA SGEMM☆339Updated 3 years ago
- Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial☆274Updated last week
- GPU programming related news and material links☆1,594Updated 5 months ago
- Fast CUDA matrix multiplication from scratch☆751Updated last year
- Examples demonstrating available options to program multiple GPUs in a single node or a cluster☆737Updated 4 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆189Updated last month
- NVIDIA tools guide☆135Updated 5 months ago
- CUDA Kernel Benchmarking Library☆669Updated last week
- Fastest kernels written from scratch☆284Updated 2 months ago
- An ML Systems Onboarding list☆818Updated 5 months ago
- Examples from Programming in Parallel with CUDA☆153Updated 2 years ago
- The CUDA target for Numba☆138Updated last week
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆339Updated this week
- PyTorch per step fault tolerance (actively under development)☆329Updated this week
- Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)☆790Updated 10 months ago
- ☆219Updated this week
- CUDA Matrix Multiplication Optimization☆196Updated 11 months ago
- ☆167Updated 10 months ago
- A plugin for Jupyter Notebook to run CUDA C/C++ code☆233Updated 9 months ago
- ☆109Updated 3 months ago
- Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…☆50Updated last week
- collection of benchmarks to measure basic GPU capabilities☆385Updated 4 months ago
- CUDA Learning guide☆395Updated last year
- ☆159Updated last year
- RAPIDS Memory Manager☆589Updated last week
- Some CUDA example code with READMEs.☆168Updated 3 months ago
- A tool for bandwidth measurements on NVIDIA GPUs.☆464Updated 2 months ago
- 100 days of building GPU kernels!☆445Updated last month
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆379Updated this week