Site Search
Computer Science

Photos

Alioune Ngom, Ph.D.Dr. Alioune Ngom
Dr. Alioune Ngom
Dr. Robert KentDr. Robert Kent
Dr. Robert Kent
Dr. Luis RuedaDr. Luis Rueda
Dr. Luis Rueda
Xiaobu Yuan, Ph.D.Dr. Xiaobu Yuan
Dr. Xiaobu Yuan
Imran Ahmad, Ph.D.Dr. Imran Ahmad
Dr. Imran Ahmad
Christie Ezeife, Ph.D.Dr. Christie Ezeife
Dr. Christie Ezeife
Windsor WaterfrontWindsor Waterfront Park
Windsor Waterfront Park
Dr. Ziad Kobti lecturingDr. Ziad Kobti
Dr. Ziad Kobti
Lambton TowerLambton Tower
Lambton Tower
Arunita Jaekel, Ph.D.Dr. Arunita Jaekel
Dr. Arunita Jaekel
Jessica Chen, Ph.D.Dr. Jessica Chen
Dr. Jessica Chen
Robin Gras, Ph.D.Dr. Robin Gras
Dr. Robin Gras
Dr. Scott GoodwinDr. Scott Goodwin
Dr. Scott Goodwin

Optimizing Algorithms for Many-Core Architectures

Add this event into your calendar using the iCAL format
  • Fri, 10/05/2018 - 11:00am - 12:00pm




Optimizing Algorithms for Many-Core Architectures

Computer Science Colloquium Series

Dr. Loren Schwiebert

Date:  Friday, October 5th, 2018
Time: 11:00 am
Location: Erie Hall, 2126

Abstract: GPUs are the most common example of many-core architectures: processors with hundreds or thousands of processors. Programming many-core architectures to achieve good performance requires significantly different techniques than those used for traditional CPUs, even multicore CPUs. In this talk, I will provide an overview of the features of these systems, explain the basics of programming GPUs, and present a few results from our research group to show how one can achieve good performance on GPUs.

Bio: Loren Schwiebert is an Associate Professor in the Department of Computer Science at Wayne State University where he is serving as Department Chair. He received a B. S. degree in Computer Science from Heidelberg College and the M. S. and Ph.D. degrees in Computer and Information Science from the Ohio State University. His current research interests include algorithm design and high-performance scientific computing using GPUs

 



csgradinfo@uwindsor.ca
(519)253-3000


See More: