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Tuesday, September 9 • 9:00am - 10:00am
Writing Data Parallel Algorithms on GPUs

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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.

avatar for Ade Miller

Ade Miller

Technical Fellow, Conga
Ade Miller currently leads the Machine Learning Engineering Team at Conga, building the ML infrastructure behind their Contract Life-cycle Management products. Before joining Conga Ade led team responsible for CenturyLink Cloud's analytics platform. A highly distributed system providing... Read More →

Tuesday September 9, 2014 9:00am - 10:00am PDT

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