Tunable shared-memory abstractions for distributed-memory systems

Distributed memory multiprocessor architectures offer enormous computational power, by exploiting the concurrent execution of many loosely connected processors. Yet, such scalability is not without price. Interface delays and low interconnection bandwidth to the distributed memories make internode memory access inefficient. Furthermore, as processor speeds increase, the performance gap among the layers of the local memory hierarchy increases. To achieve good performance, the programmer and system must carefully manage data to increase intranode and internode memory locality. While attempting to do so, data management must not become such a burden that it prevents the creation of sophisticated programs.

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

2011

Author dc:creator

• Totty, Brian Keith

Contributors dc:contributor

• Reed, Daniel

• Computer Science

Statement dc:rights

• Copyright 1994 Totty, Brian Keith

Language dc:language

eng

Identifier

AAI9512573
(UMI)AAI9512573

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/19915