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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Fred Brooks calls GPGPU "...one of the most exciting areas in Computer Architecture today" UNC's Professor Frederick P. Brooks, Jr., who coined the term "Computer Architecture", received the 2005 ACM/IEEE Computer Society Eckert-Mauchly Award for outstanding contributions to the field of computer and digital systems architecture. In his award acceptance speech, Dr. Brooks stated that GPUs are "...very powerful scientific computers installed in many homes... I think exploring that design space and its utilization... is one of the most exciting areas in computer architecture today." (Frederick P. Brooks, Jr. 2005 Eckert-Mauchly Award acceptance speech. Streaming Video Links)
Posted: 05 Jan 2005 [GPGPU /Miscellaneous] # Image Registration by a Regularized Gradient Flow To correlate the intensities in two images an energy functional is successively minimized in a variational setting. The gradient flow formulation makes use of a robust multi-scale regularization, an efficient multi-grid solver and an adaptive time-step control. On the GPU the multi-scale maps to a packed multi-grid pyramid with several scales per grid level. The algorithm uses three nested loops: the regularized multi-scale descent, the iterative solution of the gradient flow PDE, and on the third level the multi-grid smoother and the adaptive time-step iteration.
( Image Registration by a Regularized Gradient Flow - A Streaming Implementation in DX9 Graphics Hardware. Robert Strzodka, Marc Droske and Martin Rumpf Computing, 73(4), 373-389, Springer, 2004.)
Posted: 05 Jan 2005 [GPGPU /Image And Volume Processing] # |
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