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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Hybrid Ray Tracing: Ray Tracing Using GPU-Accelerated Image-Space Methods

This paper by Robert et al. at the University of Bern, Switzerland describes the object intersection buffer (OIB), a GPU-based visibility preprocessing algorithm for accelerating ray tracing. Based on this approach, a hybrid ray tracer is proposed to exploit parallel ray tracing using the GPU and CPU. ( Hybrid Ray Tracing - Ray Tracing Using GPU-Accelerated Image-Space Methods. Philippe C.D. Robert, Severin Schoepke, and Hanspeter Bieri. Proceedings of GRAPP 2007.)

Posted: 25 Apr 2007 [GPGPU /Advanced Rendering] #

Radio Wave Propagation on Graphics Hardware

Radio wave propagation predictions are of great interest for cellular radio networks. Ray tracing approaches are an established technique for wave propagation, however, such approaches need to be extended to include diffraction, which is a predominant effect for common mobile radio frequencies. We demonstrate how to exploit the GPU to accelerate wave propagation predictions by orders of magnitude, making them available at interactive frame rates. The paper presents a GPU implementation of our diffraction technique. The presented technique can be easily extended to also simulate the diffraction of water waves by obstacles in complex three dimensional scenarios in a physically correct manner. (Fast Edge-Diffraction-Based Radio Wave Propagation Model for Graphics Hardware. Tobias Rick, Rudolf Mathar, Proceedings of ITG INICA 2007)

Posted: 25 Apr 2007 [GPGPU /Scientific Computing] #


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