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Hardware Technologies for High-Performance Data-Intensive Computing.

The article offers an investigation into hardware platforms suitable for data-intensive systems. It evaluates the benefits of two coprocessor architectures: graphics processors and reconfigurable hardware. It describes the Large Synoptic Survey Telescope (LSST) and the image-processing benchmark, th...

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Publicado en:Computer (00189162) Vol. 41; no. 4; pp. 60 - 69
Autores principales: Gokhale, Maya, Cohen, Jonathan, Yoo, Andy, Miller, W. Marcus, Jacob, Arpith, Ulmer, Craig, Pearce, Roger
Formato: Artículo
Publicado: IEEE Apr2008
Materias:
Computer input-output equipment
Coprocessors
Microprocessors
Computer architecture
Image processing
Lanczos method
Computer hardware description languages
Acceso en línea:Ver este registro en EBSCOhost
Sumario:The article offers an investigation into hardware platforms suitable for data-intensive systems. It evaluates the benefits of two coprocessor architectures: graphics processors and reconfigurable hardware. It describes the Large Synoptic Survey Telescope (LSST) and the image-processing benchmark, the Lanczos resampling filter. To assess the potential for accelerating LSST image-processing tasks, the authors' used the Lanczos filter. A key step in processing large document streams is language classification.