Research on signal-processing supercomputers. Final technical report, September 1985-September 1986

Technical Report · Thu Sep 01 00:00:00 EDT 1988

OSTI ID:5754940

Kung, H T

Signal processing is an area where the required computational bandwidth in an application can be unbounded. Applications such as radar, sonar and communications already call for signal-processing systems capable of delivering billions or tens of billions of operations per second. In developing a new signal processor to meet these requirements, it is essential to understand the underlying computational models. An ad-hoc processor development effort that is unclear on the computational models will likely be wasteful and unable to meet the long-term performance goal. Fortunately, because the control in signal processing is typically data-independent, computational models in this area can be relatively simple. Based on the study performed under this contract, this report describes some important computational models for parallel signal processing, and illustrates how the Warp machine developed by Carnegie Mellon supports these models. (jes)

• Research Organization: Carnegie-Mellon Univ., Pittsburgh, PA (USA). Dept. of Computer Science
• OSTI ID: 5754940
• Report Number(s): AD-A-206911/0/XAB
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
PARALLEL PROCESSING
SIGNAL CONDITIONING
SUPERCOMPUTERS
CONTROL
EQUIPMENT
MATHEMATICAL MODELS
PROGRESS REPORT
RADAR
SONAR
COMPUTERS
DIGITAL COMPUTERS
DOCUMENT TYPES
MEASURING INSTRUMENTS
PROGRAMMING
RANGE FINDERS
990210* - Supercomputers- (1987-1989)