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dc.contributor.authorTrancoso, Pedroen
dc.contributor.authorCharalambous, Mariaen
dc.creatorTrancoso, Pedroen
dc.creatorCharalambous, Mariaen
dc.description.abstractGraphics processors are designed to perform many floating-point operations per second. Consequently, they are an attractive architecture for high-performance computing at a low cost. Nevertheless, it is still not very clear how to exploit all their potential for general-purpose applications. In this work we present a comprehensive study of the performance of an application executing on the GPU. In addition, we analyze the possibility of using the graphics card to extend the life-time of a computer system. In our experiments we compare the execution on a mid-class GPU (NVIDIA GeForce FX 5700LE) with a high-end CPU (Pentium 4 3.2GHz). The results show that to achieve high speedup with the GPU you need to: (1) format the vectors into two-dimensional arraysen
dc.description.abstract(2) process large data arraysen
dc.description.abstractand (3) perform a considerable amount of operations per data element. Finally, we study the performance when upgrading a low-end system by simply adding a GPU. This solution is cheaper, results in smaller power consumption and achieves higher speedup (8.1x versus 1.3x) than a full upgrade to a new high-end system. © 2005 IEEE.en
dc.sourceProceedings - DSD'2005: 8th Euromicro Conference on Digital System Design - Architectures, Methods and Toolsen
dc.sourceDSD'2005: 8th Euromicro Conference on Digital System Designen
dc.subjectComputer architectureen
dc.subjectPower consumptionen
dc.subjectData reductionen
dc.subjectComputer systemsen
dc.subjectGraphic methodsen
dc.subjectComputer aided designen
dc.subjectProgram processorsen
dc.subjectGraphics processorsen
dc.subjectFloating point operationsen
dc.titleExploring graphics processor performance for general purpose applicationsen
dc.description.endingpage313 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Conference code: 68752en
dc.description.notesCited By :17</p>en
dc.contributor.orcidTrancoso, Pedro [0000-0002-2776-9253]

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