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CppCon 2014: Ade Miller "Writing Data Parallel Algorithms on GPUs"

4,435 views · Published 30 September 2014 · 1:07:14 · Indexed 5 October 2026

Channel: CppCon · 2014 · Education

http://www.cppcon.org
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Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2014
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Today most PCs, tablets and phones support multi-core processors and most programmers have some familiarity with writing (task) parallel code. Many of those same devices also have GPUs but writing code to run on a GPU is harder. Or is it?

Getting to grips with GPU programming is really about understanding things in a data parallel way. This talk will look at some of the common patterns for implementing algorithms on today's GPUs using examples from the C++ AMP Algorithms Library. Along the way it will cover some of the unique aspects of writing code for GPUs and contrast them with a more conventional code running on a CPU.
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Ade Miller writes C++ for fun. He wrote his first N-body model in BASIC on an 8-bit microcomputer 30 years ago and never really looked back. He started using C++ in the early 90s. 

Recently, he's written two books on parallel programming with C++; "C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++" and "Parallel Programming with Microsoft Visual C++". Ade spends the long winters in Washington contributing to the open source C++ AMP Algorithms Library and well as a few other projects. His summers are mostly spent crashing expensive bicycles into trees.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com 

Work at Hudson River Trading (HRT): https://tinyurl.com/safxfctf

CppCon 2014: Ade Miller "Writing Data Parallel Algorithms on GPUs"

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