Hardware Technologies for High-Performance Data-Intensive Computing

Authors:
Maya Gokhale;Jonathan Cohen;Andy Yoo;W. Marcus Miller;Arpith Jacob;Craig Ulmer;Roger Pearce
Affiliations:
Lawrence Livermore National Laboratory;Lawrence Livermore National Laboratory;Lawrence Livermore National Laboratory;Lawrence Livermore National Laboratory;Washington University in St. Louis;Sandia National Laboratories;Texas A&M University
Venue:
Computer
Year:
2008

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Abstract

Data-intensive problems challenge conventional computing architectures with demanding CPU, memory, and I/O requirements. Experiments with three benchmarks suggest that emerging hardware technologies can significantly boost performance of a wide range of applications by increasing compute cycles and bandwidth and reducing latency.