GPGPU |
General-Purpose Computation Using Graphics Hardware
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IntroductionGPGPU 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:
Posted: 21 Aug 2006 [GPGPU /Conferences] # |
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