Imaging in a Multi-Operand Associative Processor
{'Code': '05010300', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}
{'SignBlockName': 'John R. Lehmann', 'PO_EMAI': None, 'PO_PHON': None}
Prior research has resulted in the definition of a new associative              processing system using a novel VLSI associative memory.  The system, an        associative parallel processor unit with multi-operand processing               capability, behaves as a dynamically reconfigurable array of associative        processors all performing the same function with different operands on          disjoint data sets.  A simulator for this proposed architecture has been        built.  This project focuses on the exploration and evaluation of               different algorithms of importance in image processing mapped onto this         architecture.                                                                                                                                                   The results of these simulation studies are expected to aid in the              refinement of the architecture such that the resulting design will              evolve into a fully parallel associative computer capable of solving a          wide and important class of problems.                                           A novel architecture is proposed.  At this point in time an in-depth            study of the architecture including the evaluation of important                 algorithms mapped onto this architecture will enhance our understanding         of the significance of this new architecture.
{'FirstName': 'Isaac', 'LastName': 'Scherson', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Isaac D Scherson', 'EmailAddress': 'isaac@ics.uci.edu', 'NSF_ID': '000444491', 'StartDate': '01/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of California-Santa Barbara', 'CityName': 'SANTA BARBARA', 'ZipCode': '931060001', 'PhoneNumber': '8058934188', 'StreetAddress': '3227 CHEADLE HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'CA24', 'ORG_UEI_NUM': 'G9QBQDH39DF4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, SANTA BARBARA', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '471500', 'Text': 'COMPUTER SYSTEMS ARCHITECTURE'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8603319.xml'}