Parallel Numerical Algorithms and Software
{'Code': '05010200', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}
{'SignBlockName': 'S. Kamal Abdali', 'PO_EMAI': None, 'PO_PHON': None}
Problems will be studied from a broad spectrum of numerical analysis            and it will be determined to what extent fast stable algorithms can be          derived for parallel computers.  Two categories of parallel                     architectures will be considered:                                                                                                                               (1)  Shared memory multiprocessors (CRAY-X-MP, CRAY-2, ETA-10, Encore           Multimax).                                                                                                                                                      (2)  Distributed memory message passing architectures (NCUBE,                   Cyberplus).                                                                                                                                                     The goals of the research are:                                                                                                                                  (1) To determine the extent to which various advanced architectures can         be utilized to speed up computations,                                                                                                                           (2) To obtain general design techniques that can be used to derive              efficient stable algorithms suitable for high sped parallel processing,         and                                                                                                                                                             (3) To develop robust codes which efficiently implement these                   algorithms on parallel architectures.                                                                                                                           The research conducted to date has resulted in the discovery of a               design technique for parallelizing a class of iterative methods for             solving large sparse linear systems of equations.  Efficient parallel           algorithms for shared memory machines with memory hierarchy and for             message passing machines have been obtained and are faster than                 previously existing algorithms.                                                 8722260
{'FirstName': 'Anthony', 'LastName': 'Chronopoulos', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anthony T Chronopoulos', 'EmailAddress': 'atc@cs.utsa.edu', 'NSF_ID': '000384031', 'StartDate': '09/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '1271', 'Text': 'COMPUTATIONAL MATHEMATICS'}, {'Code': '2865', 'Text': 'NUMERIC, SYMBOLIC & GEO COMPUT'}, {'Code': '9145', 'Text': 'SPECIAL PROGRAMS-RESERVE'}]
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