Theory and Applications of Parallel Sparse Vector Methods
{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}
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This is a Minority Research Initiation (MRI) Planning Grant proposal in         computational theory to develop 1) numerical techniques for parallel            processing and 2) application of computing machinery and methods to             large systems problems.  The overall goal is to integrate the two               areas.                                                                                                                                                          During the planning period the investigator will develop effective              ordering procedures for the applications of parallel sparse vector              methods such as, parallel triangulation and inversion of matrices.              Feasibility studies of these methods and testing them on an actual              supercomputer system will be conducted.  This grant will provide                support for a well-trained minority scientist to perform these and              other preliminary activities as a basis for developing a competitive            proposal for submission to the MRI research initiation component.
{'FirstName': 'Ramon', 'LastName': 'Betancourt', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ramon Betancourt', 'EmailAddress': None, 'NSF_ID': '000471737', 'StartDate': '07/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'San Diego State University Foundation', 'CityName': 'SAN DIEGO', 'ZipCode': '921821901', 'PhoneNumber': '6195945731', 'StreetAddress': '5250 CAMPANILE DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '51', 'CONGRESS_DISTRICT_ORG': 'CA51', 'ORG_UEI_NUM': 'H59JKGFZKHL7', 'ORG_LGL_BUS_NAME': 'SAN DIEGO STATE UNIVERSITY FOUNDATION', 'ORG_PRNT_UEI_NUM': 'H59JKGFZKHL7'}
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{'Code': '912000', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8816193.xml'}