Performance Prediction of Applications/Distributed Systems  Pairs
{'Code': '05040101', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'MIP', 'LongName': 'Division of Microelectronic Information Processing Systems'}}
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This research involves a theoretical and experimental study of the              problem of allocating certain applications to a distributed system              environment in order to exploit application and system parallelism for          maximum computational speed up to the application.  The applications            considered are related to real-time applications (flight simulator) and         the solution of partial differential equations.  The distributed system         architectures considered can be classified according to their                   interconnecting network as:  multiprocessor systems with shared bus             configurations; Processing Element to Processing Element                        configurations; and Processing Element to Memory configurations.  The           proposed solution approach to the optimal allocation problem involves           the modeling of the application and the distributed system, and the             mapping between the application and the system.  The objective of this          investigation is the development of a design tool that may be used to           predict the performance of application/distributed system pairs.
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{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'ZipCode': '479061332', 'PhoneNumber': '7654941055', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IN04', 'ORG_UEI_NUM': 'YRXVL4JYCEF5', 'ORG_LGL_BUS_NAME': 'PURDUE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1457', 'Text': 'COMPUTER ENGINEERING (OTHER)'}
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