AdepojuJeremy / CUDA-120-DAYS--CHALLENGELinks
A 120-day CUDA learning plan covering daily concepts, exercises, pitfalls, and references (including “Programming Massively Parallel Processors”). Features six capstone projects to solidify GPU parallel programming, memory management, and performance optimization skills.
☆734Updated 4 months ago
Alternatives and similar repositories for CUDA-120-DAYS--CHALLENGE
Users that are interested in CUDA-120-DAYS--CHALLENGE are comparing it to the libraries listed below
Sorting:
- Learnings and programs related to CUDA☆415Updated last month
- This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…☆372Updated 6 months ago
- ☆362Updated 4 months ago
- 100 days of building GPU kernels!☆489Updated 4 months ago
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆471Updated 2 months ago
- CUDA Learning guide☆427Updated last year
- ☆298Updated last week
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆391Updated 5 months ago
- GPU Kernels☆193Updated 4 months ago
- Apply GPU in ML and DL☆53Updated 6 months ago
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆278Updated 9 months ago
- ☆1,387Updated last month
- (WIP) A small but powerful, homemade PyTorch from scratch.☆623Updated this week
- An ML Systems Onboarding list☆877Updated 7 months ago
- High Quality Resources on GPU Programming/Architecture☆588Updated last year
- This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…☆227Updated 7 months ago
- learningggggggg 🐳☆544Updated 4 months ago
- Some CUDA example code with READMEs.☆169Updated 5 months ago
- UNet diffusion model in pure CUDA☆648Updated last year
- Visualization of cache-optimized matrix multiplication☆155Updated 5 months ago
- Question paper of courses taught at IISC as part of MTech AI curriculum☆71Updated 8 months ago
- ☆64Updated this week
- It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.☆368Updated last year
- GPU programming related news and material links☆1,665Updated 7 months ago
- Assignments of courses taught at IISC as part of MTech AI curriculum☆120Updated 6 months ago
- ☆238Updated last week
- A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch☆324Updated 3 weeks ago
- Learning about CUDA by writing PTX code.☆134Updated last year
- repo of paper implementations☆20Updated 6 months ago
- Simple MPI implementation for prototyping or learning☆278Updated 3 weeks ago