Exploiting Locality and Parallelism With Hierarchically Tiled Arrays

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Guo, Jia

Contributors dc:contributor

• David Padua
• Basilio Fraguela

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3290241

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81778