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Abstract: Very often scientists are faced with the task of locating appropriate solution software for their problems and then selecting from among many alternatives. We have previously proposed an approach for dealing with this task by processing performance data of the targeted software. This approach has been tested using a customized implementation referred to as PYTHIA. This experience made us realize the high level of complexity involved in the algorithmic discovery of knowledge from performance... (Update)
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BibTeX entry: (Update)
E.N. Houstis, A.C. Catlin, J.R. Rice, V.S. Verykios, N. Ramakrishnan, and C.E. Houstis. PYTHIAII: A Knowledge/Database System for Managing Performance Data and Recommending Scientific Software. ACM Transactions on Mathematical Software, Vol. 26(2):pages 227--253, June 2000. http://citeseer.ist.psu.edu/article/houstis00pythiaii.html More
@article{ houstis00pythiaii,
author = "Elias N. Houstis and Ann C. Catlin and John R. Rice and Vassilios S. Verykios and Naren Ramakrishnan and Catherine E. Houstis",
title = "{PYTHIA}-{II}: a knowledge/database system for managing performance data and recommending scientific software",
journal = "TOMS",
volume = "26",
number = "2",
pages = "227-253",
year = "2000",
url = "citeseer.ist.psu.edu/article/houstis00pythiaii.html" }
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Documents on the same site (http://vtopus.cs.vt.edu/~ramakris/pubs.html):
PYTHIA-II: A Knowledge/Database System for Managing.. - Houstis, Catlin.. (2000) (Correct)
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