Hardware Technologies for High-Performance Data-Intensive Computing

Hardware Technologies for High-Performance Data-Intensive Computing

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...

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Veröffentlicht in:Computer (Long Beach, Calif.) Calif.), 2008-04, Vol.41 (4), p.60-68
Hauptverfasser: Gokhale, M., Cohen, J., Yoo, A., Miller, W.M., Jacob, A., Ulmer, C., Pearce, R.
Format: Artikel
Sprache:eng
Schlagworte:
Application software
Bandwidth
Benchmarks
Central processing units
Computation
Computer architecture
Computer displays
Computer peripherals
computer systems
Coprocessors
CPUs
data management
data science
data-intensive computing
Delay
Experiments
Field programmable gate arrays
FPGAs
GPUs
Graphics
Hardware
image resampling
Information technology
language analysis
semantic graphs
solid-state storage
Universal Serial Bus
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Beschreibung
Zusammenfassung: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.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2008.125