🦚 🧰 gpu toolkit

Collection of basic GPU algorithms implemented in CUDA C++.

🪓 Algorithms

• 🚌 Array

• 🖼️ Image Processing

• 🐉 Computer Graphics

• 📜 Mathematical

  • 🦾 Linear Algebra

  • 🧮 Number Theory

• 📊 Sorting

• 🧬 String

👨‍🏫 Learning Resources

📽️ CUDA Streams

📺 CUDA Tutorials by Creel

👨‍💻 CUDA Samples by NVIDIA

👨‍💻 CUDA C++ Programming Guide

📺 Intro to CUDA by Josh Holloway

👨‍💻 CUDA Training Series by NVIDIA

👨‍💻 CUDA Examples by Sylvain Jubertie

📽️ CUDA C/C++ Basics Slides by NVIDIA

📽️ GPU Memory Slides by Robert Dalrymple

📺 CUDA Crash Course by CoffeeBeforeArch

💭 CUDA Developer Blog Posts by Mark Harris

📽️ Parallel Prefix Sum with CUDA by Mark Harris

💭 CUDA Basics Blog Posts by Sebastian Eberhardt

📺 Parallel and Distributed Computing by Tom Nurkkala

👨‍💻 GPU Programming: When, Why and How? by ENCCS

📽️ CUDA: Threaded Programming Slides by Kevin Cooper

📺 Parallel Programming Concepts Course by Peter Tröger

📽️ Advanced CUDA: Memory Optimization Slides by NVIDIA

📽️ Optimizing Parallel Reduction in CUDA Slides by Mark Harris

📽️ Advanced CUDA: Performance Optimization Slides by NVIDIA

📽️ Better Performance at Lower Occupancy Slides by Vasily Volkov

📽️ GPU Performance Analysis and Optimization by Paulius Micikevicius

📽️ General-purpose GPU Computing with CUDA Course by Will Landau

👨‍💻 GPU Programming and Architecture from University of Pennsylvania

📽️ CUTLASS: CUDA Template Library Slides by Andrew Kerr and others

👨‍💻 Learn CUDA Programming by Jaegeun Han and Bharatkumar Sharma

💭 Accelerated Ray Tracing in One Weekend in CUDA Blog post by Roger Allen

👨‍🏫 CUDA and Applications to Task-based Programming Eurographics 2021 Tutorial

📺 Introduction to GPU Programming with CUDA and Thrust Talk by Richard Thomson

💭 CUDA Pro Tip: Optimized Filtering with Warp-Aggregated Atomics by Andy Adinets