This Article 
 Bibliographic References 
 Add to: 
XtremeData dbX: An FPGA-Based Data Warehouse Appliance
July/August 2010 (vol. 12 no. 4)
pp. 66-73

FPGA-based architectures are known for their applicability to embedded systems. Nevertheless, recent developments make it possible to exploit this technology's benefits for large-scale systems targeting compute- and data-intensive applications.

1. J. Makino, "Specialized Hardware for Supercomputing," SciDAC Rev., no. 12, Spring 2009;
2. J. Williams et al., "Computational Density of Fixed and Reconfigurable Multi-Core Devices for Application Acceleration," Proc. 4th Reconfigurable Systems Summer Inst., Nat'l Center for Supercomputing Applications, 2008; 10_Williams.pdf.
3. K.D. Underwood, K.S. Hemmert, and C.D. Ulmer, "From Silicon to Science: The Long Road to Production Reconfigurable Supercomputing," Reconfigurable Computing: Architectures, Tools and Applications Technology, LNCS 4943, Springer Verlag, 2008, p. 2, doi:10.1007978-3-540-78610-8.
4. D. Donofrio et al, "Energy-Efficient Computing for Extreme Scale Science," Computer, vol. 42, no. 11, 2009, pp. 62–71.
5. M. Bredel et al., "High-Resolution Genome-Wide Mapping of Genetic Alterations in Human Glial Brain Tumors," Cancer Research, vol. 65, no. 10, 2005, pp. 4088–4096.
6. H. Lee, S.W. Kong, and P.J. Park, "Integrative Analysis Reveals the Direct and Indirect Interactions between DNA Copy Number Aberrations and Gene Expression Changes," Bioinformatics, vol. 24, no. 7, 2008, pp. 889–896.

Index Terms:
FPGA, architecture, data warehousing
Todd C. Scofield, Jeffrey A. Delmerico, Vipin Chaudhary, Geno Valente, "XtremeData dbX: An FPGA-Based Data Warehouse Appliance," Computing in Science and Engineering, vol. 12, no. 4, pp. 66-73, July-Aug. 2010, doi:10.1109/MCSE.2010.93
Usage of this product signifies your acceptance of the Terms of Use.