GPGPU
General-Purpose Computation Using Graphics Hardware

Introduction

GPGPU stands for General-Purpose computation on GPUs. With the increasing programmability of commodity graphics processing units (GPUs), these chips are capable of performing more than the specific graphics computations for which they were designed. They are now capable coprocessors, and their high speed makes them useful for a variety of applications. The goal of this page is to catalog the current and historical use of GPUs for general-purpose computation.

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Workshop on General Purpose Processing Using GPUs

Northeastern University
Boston, MA USA
October 4, 2007

Overview: The goal of this workshop is to provide a forum for general-purpose purpose GPU programming environments and platforms, as well as discuss applications that have been able to harness the horsepower provided by these platforms. This year's workshop is particularly interested in imaging applications. Papers are being sought on many aspects of GPUs, including (but not limited to):

+ GPU applications
+ GPU software and operating systems
+ GPU programming environments
+ GPU power/efficiency
+ GPU architectures
+ GPU benchmarking/measurements

Paper Submission: Authors should submit an 8 page paper in IEEE double-column style to gpgpu@ece.neu.edu.

Industry Participation: The workshop encourages participation by GPU manufacturers, software vendors, or companies which develop or market products used by the GPU community. Any company interested in participating in the workshop should contact the workshop organizer at gpgpu@ece.neu.edu.

Important Dates:
Paper submission: August 28, 2007
Author notification: September 7, 2007
Final paper: September 14, 2007

Copies of final papers will be made available at the workshop. In addition, selected papers will be invited to be part of a special issue of an ACM or IEEE journal or magazine. For more information, see the GPGPU 2007 web page

Posted: 19 Aug 2007 [GPGPU /Conferences] #


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