Linear Algebra on GPU

This seminar will provide 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 will be discussed, followed by a demonstration of how to use three popular libraries relevant to the problem: CUBLAS, CULA and MAGMA.

This webinar was presented by Pawel Pomorski (SHARCNET) on November 12th, 2014 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:

SHARCNET is a consortium of 18 Canadian academic institutions who share a network of high performance computers ( SHARCNET is a part of Compute Ontario ( and Compute Canada (


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