Linear Algebra on GPU

Опубликовано: 13 Октябрь 2017
на канале: Sharcnet HPC

4,796

This seminar provides an overview of how one can efficiently solve linear algebra problems using GPGPU (General Purpose Graphics Processing Unit) hardware and the associated CUDA software framework. The basic issues involved in developing efficient code for this type of computation are discussed, followed by a demonstration of how to use three popular libraries relevant to the problem: cuBLAS, cuSolver and MAGMA.

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This webinar was presented by Pawel Pomorski (SHARCNET) on October 11th 2017 as a part of a series of regular biweekly webinars ran by SHARCNET. The webinars cover different high performance computing (HPC) topics, are approximately 45 minutes in length, and are delivered by experts in the relevant fields. Further details can be found on this web page: https://www.sharcnet.ca/help/index.ph...

SHARCNET is a consortium of 18 Canadian academic institutions who share a network of high performance computers (http://www.sharcnet.ca). SHARCNET is a part of Compute Ontario (http://computeontario.ca/) and Compute Canada (https://computecanada.ca).