dc.creator | Houstis, E. N. | en |
dc.creator | Verkios, V. S. | en |
dc.creator | Catlin, A. C. | en |
dc.creator | Rice, J. R. | en |
dc.date.accessioned | 2015-11-23T10:30:11Z | |
dc.date.available | 2015-11-23T10:30:11Z | |
dc.date.issued | 2003 | |
dc.identifier.isbn | 3-540-40197-0 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/11615/28513 | |
dc.description.abstract | The focus of this paper is the application and extension of the knowledge discovery in databases process [5] developed in PYTHIA recommender system, to analyze the behavior of a DOE ASCI application/hardware pairs in the context of POEMS project[4]. The POEMS project has built a library of models for modeling scalable architectures like those in the ASCI program. Moreover, it supports detail simulation of a variety of state-of-the-art processors and memory hierarchies and incorporates parallel evaluation of discrete-event simulation. The driver application used is SWEEP3D. | en |
dc.source | Computational Science - Iccs 2003, Pt Iv, Proceedings | en |
dc.source.uri | <Go to ISI>://WOS:000184832100076 | |
dc.subject | recommender system | en |
dc.subject | data mining | en |
dc.subject | knowledge discovery | en |
dc.subject | scientific | en |
dc.subject | computing | en |
dc.subject | SYSTEM | en |
dc.subject | PYTHIA | en |
dc.subject | Computer Science, Interdisciplinary Applications | en |
dc.subject | Computer Science, | en |
dc.subject | Software Engineering | en |
dc.subject | Computer Science, Theory & Methods | en |
dc.title | A knowledge discovery methodology for behavior analysis of large-scale applications on parallel architectures | en |
dc.type | bookChapter | en |