This Article 
 Bibliographic References 
 Add to: 
Hardware Technologies for High-Performance Data-Intensive Computing
April 2008 (vol. 41 no. 4)
pp. 60-68
Maya Gokhale, Lawrence Livermore National Laboratory
Jonathan Cohen, Lawrence Livermore National Laboratory
Andy Yoo, Lawrence Livermore National Laboratory
W. Marcus Miller, Lawrence Livermore National Laboratory
Arpith Jacob, Washington University in St. Louis
Craig Ulmer, Sandia National Laboratories
Roger Pearce, Texas A&M University
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.

1. R. Kolb, "The Large Synoptic Survey Telescope (LSST)," white paper, LSST Corp., 2005; .
2. E. Bertin, "SWarp v2.17.0, User's Guide," Institut d'Astrophysique &Observatoire de Paris, 7 Jan. 2008;
3. W.B. Cavnar and J.M. Trenkle, "N-Gram-Based Text Categorization," Proc. 3rd Ann. Symp. Document Analysis and Information Retrieval, Univ. of Nevada, 1994, pp. 161–175.
4. B.H. Bloom, "Space/Time Trade-Offs in Hash Coding with Allowable Errors," Comm. ACM, vol. 13, no. 7, 1970, pp. 422–426.
5. C.M. Kastner et al., "HAIL: A Hardware-Accelerated Algorithm for Language Identification," Proc. 2005 Int'l Conf. Field Programmable Logic and Applications, IEEE Press, 2005, pp. 499–504.
6. R. Steinberger et al., "The JRC-Acquis: A Multilingual Aligned Parallel Corpus with 20+ Languages," Proc. 5th Int'l Conf. Language Resources and Evaluation, ELRA, 2006; .
7. A. Yoo et al., "A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L," Proc. 2005 ACM/IEEE Conf. Supercomputing, IEEE CS Press, 2005, pp. 25–35.

Index Terms:
data management, data science, GPUs, FPGAs, solid-state storage, semantic graphs, image resampling, language analysis, computer systems, data-intensive computing
Maya Gokhale, Jonathan Cohen, Andy Yoo, W. Marcus Miller, Arpith Jacob, Craig Ulmer, Roger Pearce, "Hardware Technologies for High-Performance Data-Intensive Computing," Computer, vol. 41, no. 4, pp. 60-68, April 2008, doi:10.1109/MC.2008.125
Usage of this product signifies your acceptance of the Terms of Use.