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Daniel A. Reed Mendes, Celso Luiz 2015-09-25T20:20:55Z 2015-09-25T20:20:55Z 10000-01-01 1997 1997 According to the results of our study, by integrating compilation, performance analysis and symbolic manipulation tools, it is possible to correctly predict, in an automated fashion, the major performance variations of a data parallel program written in a high-level language. Made available in DSpace on 2015-09-25T20:20:55Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9812702.pdf: 4293948 bytes, checksum: 6829be9b1de00ecb512db4897e56baf1 (MD5) Previous issue date: 1997 Embargo set by: Seth Robbins for item 83183 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 151 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997. http://hdl.handle.net/2142/81902 (MiAaPQ)AAI9812702 eng Computer Science Performance Scalability Prediction on Multicomputers text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.