🦚 🧰 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
