Research Initiation:  Hypercube Algorithms for Large-Scale  Spectral Simulation
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
{'SignBlockName': 'name not available', 'PO_EMAI': None, 'PO_PHON': None}
The objective of this research is to use hypercube parallel processors          for large-scale spectral simulation using the Navier-Stokes equations           from fluid dynamics as a test bed.  Algorithms will be developed for a          number of spectral methods, codes will be written for the NCUBE                 computer, efficiencies will be determined, and a number of                      supercomputer-class research problems will be examined as example,              e.g. instability, transition and turbulence.  The effectiveness of              spectral algorithms on current hypercubes will be assessed, and future          directions and requirements of large-scale spectral computation will            be determined.
{'FirstName': 'Richard', 'LastName': 'Pelz', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Richard B Pelz', 'EmailAddress': 'pelz@jove.rutgers.edu', 'NSF_ID': '000216210', 'StartDate': '06/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Rutgers University New Brunswick', 'CityName': 'NEW BRUNSWICK', 'ZipCode': '089018559', 'PhoneNumber': '8489320150', 'StreetAddress': '3 RUTGERS PLZ', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NJ12', 'ORG_UEI_NUM': 'M1LVPE5GLSD9', 'ORG_LGL_BUS_NAME': 'RUTGERS, THE STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1495', 'Text': 'COMPUTATIONAL ENGINEERING'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8808780.xml'}