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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JVSP Special Issue on Multicore Enabled Multimedia Applications & Architectures

The trend of multicore processors development brings a shift of paradigm in applications development. Traditionally, increasing clock frequency is one of the main dimensions for conventional processors to achieve higher performance gains. Application developers used to improve performance of their applications by just waiting for faster processor platforms. Today, increasing clock frequency has reached a point of diminishing returns—and even negative returns if power is taken into account. Multicore processors, also known as Chip multiprocessors (CMPs), promise a power-efficiency way to increase performance and become more prevalent in vendors' solutions, for example, IBM CELL Broadband Engine processors, Intel Core 2 Dual processors, and so on. However, the application or algorithm development process must be significantly changed in order to fully explore the potential of multicore processors. This special issue of the Journal of VLSI Signal Processing Systems is to discuss related challenges, issues, case studies, and solutions, especially focusing on multimedia-related applications, architectures, and programming environments, for example, understanding the complexity of developing a new application or porting an existing application onto a multicore processor. (Call for papers)

Posted: 17 Jul 2007 [GPGPU /Conferences] #


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