Implementations and Evaluations of Non-Numerical Algorithms for MIMD Multiprocessors
{'Code': '05010300', 'Directorate': {'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'LongName': 'Division of Computing and Communication Foundations'}}
{'SignBlockName': 'Yechezkel Zalcstein'}
Multiprocessor supercomputers presently available on the market are             oriented towards high-speed numerical computation.  However, there is           more tendency to use computers for computations that are symbolic in            nature.  Nonnumerical algorithms for multiprocessors are more difficult         to design and evaluate than numerical algorithms.  This research is             aimed at developing a new and integrated methodology for the design and         performance prediction of nonnumerical parallel and distributed                 algorithms for multiprocessors.  Because of the unpredictable behavior          of such algorithms, and the dependency of algorithm performance on data         values, simulation is a fundamental ingredient of the methodology.  The         facility developed for simulating the execution of multiprocessor               algorithms on uniprocessors will be expanded, improved and tuned to the         purpose of this research. The simulator is trace-driven.  Simulation            results will be used to validate existing or new analytical or hybrid           modeling techniques.
{'FirstName': 'Peter', 'LastName': 'Varman', 'EmailAddress': 'pjv@rice.edu', 'StartDate': '11/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'William Marsh Rice University', 'CityName': 'Houston', 'ZipCode': '770051827', 'PhoneNumber': '7133484820', 'StreetAddress': '6100 MAIN ST', 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX'}
{'Code': '4715', 'Text': 'COMPUTER SYSTEMS ARCHITECTURE'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8717569.xml'}