Architectural and Software Support for Executing Numerical Applications on High Performance Computers

Numerical applications require large amounts of computing power. Although shared memory multiprocessors provide a cost-effective platform for parallel execution of numerical programs, parallel processing has not delivered the expected performance on these machines. There are two crucial steps in parallel execution of numerical applications: (1) effective parallelization of an application and (2) efficient execution of the parallel program on a multiprocessor. This thesis addresses the second step within the scope of automatically parallelized FORTRAN programs.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Anik, Sadun

Contributors dc:contributor

• Hwu, Wen-Mei W.

• Engineering, Electronics and Electrical
• Computer Science

Identifier

(UMI)AAI9411555

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/72009