tgautam03 / CUDA-CLinks
Simple problems implemented in CUDA C
☆19Updated 2 months ago
Alternatives and similar repositories for CUDA-C
Users that are interested in CUDA-C are comparing it to the libraries listed below
Sorting:
- Apply GPU in ML and DL☆52Updated 3 months ago
- Accelerated General (FP32) Matrix Multiplication from scratch in CUDA☆117Updated 4 months ago
- This material contains content on how to profile and optimize simple Pytorch mnist code using NVIDIA Nsight Systems and Pytorch Profiler☆12Updated 2 years ago
- NVIDIA tools guide☆133Updated 5 months ago
- ☆54Updated this week
- A hands-on introduction to tuning GPU kernels using Kernel Tuner https://github.com/KernelTuner/kernel_tuner/☆31Updated last month
- An Online Deep Learning Interface for HPC programs on NVIDIA GPUs☆168Updated 3 weeks ago
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆183Updated last year
- ML/DL Math and Method notes☆61Updated last year
- Neural network from scratch in CUDA/C++☆80Updated 4 months ago
- Some CUDA example code with READMEs.☆99Updated 3 months ago
- Tutorials for Triton, a language for writing gpu kernels☆18Updated last year
- A c/c++ implementation of micrograd: a tiny autograd engine with neural net on top.☆68Updated last year
- CME 213 Spring 2021☆65Updated 4 years ago
- Competitive GPU kernel optimization platform.☆74Updated this week
- Notes and code for Programming Massively Parallel Processors☆11Updated 2 months ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆17Updated last month
- ☆157Updated last year
- making the official triton tutorials actually comprehensible☆36Updated 2 months ago
- N-Ways to Multi-GPU Programming☆25Updated 2 years ago
- ☆169Updated 5 months ago
- This is a port of Mistral-7B model in JAX☆32Updated 11 months ago
- Personal notes on CUDA programming☆55Updated 2 years ago
- Simple MPI implementation for prototyping or learning☆153Updated this week
- Simple GPU rendering of scientific data with Pytorch, Jax, CuPy, and Warp backends.☆26Updated last year
- NVIDIA curated collection of educational resources related to general purpose GPU programming.☆460Updated last week
- Save, load, host, and share AI model checkpoints without slowing down training. Host on Lightning AI or your own cloud with enterprise-gr…☆28Updated this week
- CUDA Learning guide☆387Updated 11 months ago
- Material for the SC22 Deep Learning at Scale Tutorial☆41Updated last year
- A web based tool for visualization of the forward and reverse modes of automatic differentiation☆17Updated last year