GPGPU

Overview

Graphics cards have long been used to accelerate gaming and 3D graphics applications. More recently, they have begun to be used to accelerate more general purpose and high performance applications. GPUs are beginning to be used to accelerate a wide range of remote sensing, environmental monitoring, business forecasting and medical imaging applications, though have relied on programming interfaces that utilized graphics primitives and libraries. Only recently have general purpose programming environments become available that allow these platforms to be used to accelerate a wider class of applications.

The goal of this workshop is to provide a forum to discuss these general purpose programming environments and platforms, as well as describe successful applications that have leveraged this new approach to acceleration. This year's workshop is particularly interested code/compiler optimizations and virtualization techniques that lower the barrier to successfully utilizing these platforms.

Topics of interest include, but are not limited to:

GPU-based applications

GPU programming environments

GPU architectures

GPU compilers and operating systems

GPU power/efficiency

GPU benchmarking/measurements/scalability


Program Chairs

David Kaeli, Northeastern Univ.

Miriam Leeser, Northeastern Univ.

Program Committee

Dan Campbell, GTRI
John Cavazos, University of Delaware
Bruce D'Amora, IBM Research
Pepe Gonzalez, Intel Barcelona
Michael Gschwind, IBM Research
Mark Harris, Nvidia
Wen-mei Hwu, University of Illinois Urbana-Champaign
David Kaeli, Northeastern University
Hyesoon Kim, Georgia Tech
Miriam Leeser, Northeastern University
Mark Linderman, AFRL, Rome, NY
Avi Mendelson, Intel Israel
John Owens, UC Davis
Norm Rubin, AMD/ATI
Scott Thieret, Mercury Computers
Hans Vandierendonck, University of Ghent
Lisa Wu, Intel

Updated on Feb. 14, 2009