NVIDIA / accelerated-computing-hubLinks
NVIDIA curated collection of educational resources related to general purpose GPU programming.
☆729Updated last week
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:
- CUDA Learning guide☆450Updated last year
- NVIDIA Math Libraries for the Python Ecosystem☆507Updated last month
- Examples demonstrating available options to program multiple GPUs in a single node or a cluster☆810Updated last week
- Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)☆869Updated last year
- NVIDIA tools guide☆142Updated 9 months ago
- Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial☆303Updated last month
- A plugin for Jupyter Notebook to run CUDA C/C++ code☆245Updated last year
- The CUDA target for Numba☆193Updated this week
- Kernel Tuner☆366Updated this week
- Fast CUDA matrix multiplication from scratch☆865Updated last month
- The NVIDIA® Tools Extension SDK (NVTX) is a C-based Application Programming Interface (API) for annotating events, code ranges, and resou…☆454Updated last week
- Examples from Programming in Parallel with CUDA☆161Updated 2 years ago
- CUDA Kernel Benchmarking Library☆733Updated this week
- Step-by-step optimization of CUDA SGEMM☆386Updated 3 years ago
- ☆183Updated last year
- Fastest kernels written from scratch☆366Updated 2 weeks ago
- CUDA Matrix Multiplication Optimization☆225Updated last year
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆230Updated 5 months ago
- Training material for Nsight developer tools☆166Updated last year
- Some CUDA example code with READMEs.☆174Updated 7 months ago
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆356Updated this week
- GPU programming related news and material links☆1,717Updated 2 weeks ago
- Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…☆66Updated this week
- ☆119Updated 6 months ago
- Experimental projects related to TensorRT☆112Updated last week
- collection of benchmarks to measure basic GPU capabilities☆427Updated 7 months ago
- 100 days of building GPU kernels!☆511Updated 5 months ago
- The Foundation for All Legate Libraries☆228Updated this week
- LeetGPU Challenges☆80Updated last week
- A tool for bandwidth measurements on NVIDIA GPUs.☆541Updated 5 months ago