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Parallel Computing with CUDA

by Dmitri Nesteruk

An entry-level course on CUDA - a GPU programming technology from NVIDIA.

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What you'll learn

This introductory course on CUDA shows how to get started with using the CUDA platform and leverage the power of modern NVIDIA GPUs. It covers the basics of CUDA C, explains the architecture of the GPU and presents solutions to some of the common computational problems that are suitable for GPU acceleration.

Table of contents

GPU Architecture Overview
16mins
Tools of The Trade
16mins
Introduction to CUDA C
30mins
Parallel Programming Patterns
52mins
The Many Types of Memory
12mins
Thread Cooperation and Synchronization
23mins
Atomic Operations
22mins
Events and Streams
35mins
CUDA in Advanced Scenarios
41mins

About the author

Dmitri Nesteruk

Dmitri Nesteruk is a quantitative analyst, developer, speaker, and podcaster. His interests lie in software development and integration practices in the areas of computation, quantitative finance, and algorithmic trading. He is an instructor of an entry-level course in Quantitative Finance. His technological interests include C#, F#, and C++ programming as well high-performance computing using technologies such as CUDA. He has been a C# MVP since 2009.

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