Parallel Computing with CUDA
An entry-level course on CUDA - a GPU programming technology from NVIDIA.
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
About the author
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.