Hiding Periodic I/O Costs in Parallel Applications

We evaluated our proposed I/O optimizations, namely active buffering and the GODIVA framework, with both synthetic benchmarks and real-world applications, including simulations and visualization tools. The performance study shows that our proposed techniques can significantly reduce the application-visible periodic I/O cost. Further, our experience of deploying these techniques in state-of-the-art simulation and visualization codes demonstrates that with careful design, our techniques for hiding I/O costs can be organically combined with mechanisms for performing adaptive performance optimization, application self-configuration, and effective data management.

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

• Ma, Xiaosong

Contributors dc:contributor

• Winslett, Marianne

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3101913

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81626