2026-09-19T20:03:48Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81778 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

David Padua Basilio Fraguela Guo, Jia 2015-09-25T20:20:25Z 2015-09-25T20:20:25Z 10000-01-01 2007 2007 To prove the claims, two popular languages, C++ and MATLAB are extended with our HTA data type. In addition, several important dense linear algebra kernels, stencil computation kernels, as well as some benchmarks in NAS benchmark suite were implemented. We show that the HTA codes needs less programming effort with a negligible effect on performance. Made available in DSpace on 2015-09-25T20:20:25Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3290241.pdf: 3327709 bytes, checksum: aac182781df99bef1d47c62473ddbea9 (MD5) Previous issue date: 2007 Embargo set by: Seth Robbins for item 83059 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 120 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007. http://hdl.handle.net/2142/81778 (MiAaPQ)AAI3290241 eng Computer Science Exploiting Locality and Parallelism With Hierarchically Tiled Arrays text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.