(Enter summary)
Abstract: We report on the performance of two scientific GLU applications on a
standard workstation network. The two applications we consider are LU
decomposition (LUD) and shallow water equations solver both of which
are rich in data parallelism. We show that while speedup efficiency is
reasonable for small number of workstations, it worsens as the number
of workstations increases. We identify the contributing factors, namely,
relatively significant non-parallelizable computation and increased... (Update)
Context of citations to this paper: More
...sequential functions that are specified in an imperative language. GLU has been used for the development of real world applications [Agi96, RJ94], AFJW95] Chapter 7] Logic programming is another programming paradigm which has benefited from its interaction with intensional...
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BibTeX entry: (Update)
P. Rao and R. Jagannathan. Developing Scientific Applications in GLU. In Proceedings of the Seventh International Symposium on Lucid and Intensional Programming, pages 45--52, 1994. http://citeseer.ist.psu.edu/rao94developing.html More
@misc{ rao94developing,
author = "P. Rao and R. Jagannathan",
title = "Developing Scientific Applications in GLU",
text = "P. Rao and R. Jagannathan. Developing Scientific Applications in GLU. In
Proceedings of the Seventh International Symposium on Lucid and Intensional
Programming, pages 45--52, 1994.",
year = "1994",
url = "citeseer.ist.psu.edu/rao94developing.html" }
Citations (may not include all citations):
248
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