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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NVIDIA Tesla wins PC Magazine Technical Excellence Award

NVIDIA's new Tesla GPU Computing line of GPUs have won a PC Magazine Technical Excellence Award in the Component category. From the PC Magazine article: "Sure, you know GPUs, but have you heard of GPGPUs? The concept is simple: Use the massively parallel architecture of the graphics processor for general-purpose computing tasks. Because of that parallelism, ordinary calculations can be dramatically sped up. To create the Tesla, its powerful new entry into this market, nVidia has bundled multiple GPUs (without video connectors!) into either a board or a desk-side box that offers near-supercomputer levels of single-precision floating-point operations. The general-purpose GPU (thus the acronym GPGPU) is being used as a high-performance coprocessor for climate modeling, oil and gas exploration, and other applications—and it's much cheaper than a supercomputer. The Tesla even comes complete with its own C compiler and tools."

Posted: 14 Dec 2007 [GPGPU /Press] #


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