This dissertation presents programming strategies and tools for exploiting parallel processing of large scientific applications in distributed memory computers. The tools form a parallel software library called Salam, which is useful for parallel software development. It has been implemented on SUN 3 and Intel iPSC/2 computers. It was tested by implementing the Lanczos method, commonly used in nuclear physics applications. Two approaches were used to predict the performance of this parallel program on large data sets from an analysis of the code and its performance on small data sets. / As with all modern scientific applications, scientists need machine independent and efficient parallel software to achieve high performance for large applications. Salam is designed to support the development of such programs. It is an efficient core and basic step for developing a standard parallel library for different parallel architectures. / One achievement of this dissertation is a parallel implementation of the Lanczos algorithm on distributed memory computers which has the advantage of reducing the execution time of the algorithm and increasing the size of the problem that can be solved. A second is analyzing and predicting the performance of this implementation. The algorithm will achieve nearly linear speedup whenever the amount of data per processor is sufficiently large--even when communication costs are high, as they are in networks of workstations. A third is the design of Salam which exploits domain parallelism and provides a collection of arithmetic and communication operations. A fourth is the design of control and node programs that emphasize optimization for distributed memory computers and networks of high-performance workstations. / Source: Dissertation Abstracts International, Volume: 52-06, Section: B, page: 3156. / Major Professor: Gregory A. Riccardi. / Thesis (Ph.D.)--The Florida State University, 1991.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_76443 |
| Contributors | Sharieh, Ahmad Abdel-Aziz., Florida State University |
| Source Sets | Florida State University |
| Language | English |
| Detected Language | English |
| Type | Text |
| Format | 118 p. |
| Rights | On campus use only. |
| Relation | Dissertation Abstracts International |
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