Solution, Analysis and Control of Simultaneous, Nonlinear,  Dynamic System of Equations on CYBER 205 and IBM 3090
{'Code': '04050100', 'Directorate': {'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'LongName': 'Divn Of Social and Economic Sciences'}}
{'SignBlockName': 'Daniel H. Newlon'}
This project brings the power of the vector processor (supercomputer)           to bear on solving large models of the U.S. economy.  The                       supercomputer is playing a more and more fundamental role in economic           analysis.  In the past, models which were built for analytical                  tractability often incorporated unrealistic behavioral assumptions.             The supercomputer, due to its speed, has decreased the need for such a          high degree of tractability and allowed for more realistic models.              However, a cost is being paid by researchers trying to use the                  supercomputer.  The programming code used to solve models on a                  standard mainframe is not readily transportable to the vector                   processor, and typically does not make full use of the computational            speed.  At present some economic analysts are doing pioneering work on          developing algorithms and codes for the vector processor to solve               economic problems.  This project is part of that work.                                                                                                          Technically, Professor Ando compares the computational power of the             CYBOR 205 and the IBM 3090 supercomputers for solving large                     macroeconomic models.  He has shown in past work that the CYBOR 205 is          disappointingly slow in carrying out the necessary computations.                There is evidence that the IBM 3090 is much faster and requires less            modification of code to carry out the same computations.  This project          compares the speed and analytical accuracy of the two machines by               estimating stochastic nonlinear equations of a very large model of the          U. S. economy.  If such differences in computational speed, set up              costs, and coding transportability are inherent in the machines                 themselves, this work will provide very useful information to other             researchers doing economic analysis.
{'FirstName': 'Albert', 'LastName': 'Ando', 'EmailAddress': None, 'StartDate': '08/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Pennsylvania', 'CityName': 'Philadelphia', 'ZipCode': '191046205', 'PhoneNumber': '2158987293', 'StreetAddress': 'Research Services', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA'}
{'Code': '1320', 'Text': 'ECONOMICS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8709119.xml'}