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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Supercomputing '06 Workshop: "General-Purpose GPU Computing: Practice And Experience"

SC'06 is proud to announce the "General-Purpose GPU Computing: Practice and Experience" workshop. This workshop features invited speakers and poster presenters who provide insights into current GPGPU practice and experience, and chart future directions in heterogeneous and homogeneous multi-core processor architectures and data-parallel processor architectures such as GPUs. The topics addressed by the speakers range from current GPGPU practice and experience to future issues and research areas in parallel computing currently being driven by GPGPU innovations and lessons learned, such as the IBM Cell Broadband Engine and Sun Microsystem's Niagara/Sun4v processor. Poster presentations are solicited in, but not strictly limited to, the following areas:
  • Application acceleration
  • GPGPU/multi-core/parallel coprocessor integration: toolkits, implementation techniques (e.g., iterative refinement, numerical techniques), domain-specific languages
  • GPGPU implementation issues: performance issues and challenges, cooperative GPU/CPU algorithms and solutions, numerical analysis issues, HPC issues
  • Cluster-based GPGPU computing and Grid integration
Please submit prospective poster abstracts in PDF or PostScript format to the workshop chair for consideration and review. Poster abstract submission deadline: No later than October 1st. (For more information see http://www.gpgpu.org/sc2006/workshop/)

Posted: 21 Aug 2006 [GPGPU /Conferences] #


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