This project from an HBCU, acquiring a parallel and configurable computing framework using conventional PCs equipped with a set of FPGAs, develops application implementations that execute much faster than the best single/parallel PC implementation. Configurable computing systems allow the same hardware to be used for various applications for distinct parallel algorithms. Hence, rather than replacing expensive system hardware, new versions of a hardware architecture can be loaded into the same configurable integrated circuit reducing the system costs. A major goal in developing this system consists in automating the process of mapping algorithms onto a configurable computer in a transparent fashion. Projects using this implementation include: -Parallel configurable digital signal processing, -Parallel algorithm development for problems in applied mathematics and the computational sciences, -Parallel implementation of 3D image reconstruction for PET scanner data, -Modeling of a configurable digital signal processing subsystem for handheld electronic nose, -Cubic spline interpolation, and -Sensor-based supply chains. Each of these applications will be mapped onto the parallel configurable computing system to perform comparisons with the best single/parallel PC implementation and to make the appropriate optimizations to execute orders of magnitude faster on this parallel configurable computer. Moreover, the infrastructure supports the following research activities: -Detection of cancerous tumors using 3-D PET image reconstruction, -Onboard processing for control of spacecraft and other science data processing required by NASA scientists and engineers, -High performance image processing, -Odor remediation and assessment, and -Sensor-based supply chains.

Broader Impact: The work exhibits potential to bring serious savings to product tracking through their life cycle. The Auto-ID Center has estimated potential global supply savings between $150 to $300 billion a year. Through RFID deployment, Wal-Mart alone could save $8.36 Billion annually, including $600 million through avoiding stock-outs and $575 million avoiding theft. Furthermore, enabling under-represented students and faculty, this research takes place at a major HBCU with collaboration with other universities and federal agencies.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Network Systems (CNS)
Type
Standard Grant (Standard)
Application #
0521365
Program Officer
Rita V. Rodriguez
Project Start
Project End
Budget Start
2005-07-15
Budget End
2008-06-30
Support Year
Fiscal Year
2005
Total Cost
$500,000
Indirect Cost
Name
Howard University
Department
Type
DUNS #
City
Washington
State
DC
Country
United States
Zip Code
20059