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University of Illinois at Urbana-Champaign
Efficient Data Organization and Load Balancing on Parallel Disks
Abstract
dc:descriptionOur experiments with all proposed approaches on IBM SP2s, using the Panda parallel I/O library as a testbed, show that our strategies significantly reduce the I/O time required for the checkpoint and snapshot operations of large simulations.
Degree
thesis:*- 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 and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Kuo, Szu-Wen
- Contributors dc:contributor
-
- Winslett, Marianne
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI9953068
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81960