An Education Engine for Lucid-A Supercomputer Based upon    Demand-Driven and Data-Driven Evaluation
{'Code': '05010300', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}
{'SignBlockName': 'Yechezkel Zalcstein', 'PO_EMAI': 'zzalcste@nsf.gov', 'PO_PHON': '7032920000'}
The University of California at Davis and Arizona State University              jointly will study a new approach to computer architecture, based on            the use of demand-driven, asynchronous computation, the use of the              tagged data to obviate the need for 'state' information, and the use of         a certain general-purpose language as the machine language.  Their              approach is to design an experimental eduction engine, i.e., a highly           parallel machine that uses tagged data with the demand-driven approach          to asynchronous, distributed computation.  A feature of the machine             that distinguishes it from other current machine designs is that it             will have as its machine language an existing high-level language               (Lucid), that is very well suited to asynchronous computation in                general, and to eduction in particular.  The machine should have                decidedly superior performance, since it will be designed to utilize            efficiently a large and easily varied number of processors.  Analysis           of the behavior of the machine, and the behavior of Lucid programs,             will be aimed at realizing a truly scalable machine, with the                   possibility of expansion of the machine to a true supercomputer.  This          would be accomplished for a machine that is not restricted to special           applications, or to special types of algorithms, as are vector                  machines, for example.                                                                                                                                          The design will be complete down to the level of actual hardware                components, and will include a feasibility study of, and cost analysis          for, actually building an experimental machine.                                                                                                                 The first two years of this research project were conducted at SRI              International.  Professor Ashcroft has joined the faculty at the                University of California at Davis.
{'FirstName': 'Edward', 'LastName': 'Ashcroft', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Edward A Ashcroft', 'EmailAddress': None, 'NSF_ID': '000465305', 'StartDate': '07/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'ZipCode': '956186153', 'PhoneNumber': '5307547700', 'StreetAddress': '1850 RESEARCH PARK DR STE 300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'CA04', 'ORG_UEI_NUM': 'TX2DAGQPENZ5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, DAVIS', 'ORG_PRNT_UEI_NUM': 'NUDGYLBB4S99'}
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[{'Code': '4715', 'Text': 'COMPUTER SYSTEMS ARCHITECTURE'}, {'Code': '9120', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
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