Title:
Application-level modeling and analysis of time and energy for optimizing power-constrained extreme-scale applications
Application-level modeling and analysis of time and energy for optimizing power-constrained extreme-scale applications
| dc.contributor.advisor | Riley, George F. | |
| dc.contributor.author | Anger, Eric | |
| dc.contributor.committeeMember | Gavrilovska, Ada | |
| dc.contributor.committeeMember | Vuduc, Richard | |
| dc.contributor.committeeMember | Wills, Linda | |
| dc.contributor.department | Electrical and Computer Engineering | |
| dc.date.accessioned | 2017-01-11T14:05:14Z | |
| dc.date.available | 2017-01-11T14:05:14Z | |
| dc.date.created | 2016-12 | |
| dc.date.issued | 2016-11-15 | |
| dc.date.submitted | December 2016 | |
| dc.date.updated | 2017-01-11T14:05:14Z | |
| dc.description.abstract | The objective of the proposed research is to create a methodology for the modeling and characterization of extreme-scale applications operating within power limitations in order to guide optimization. It is likely that forthcoming high-performance machines will operate with stringent power caps, tying the performance of the systems to their energy-efficiency. Optimizing extreme-scale applications to operate within power limitations will require new techniques for understanding the relationships between application characterization, performance, and energy. The main contributions of this work are: 1) a methodology for the time and energy modeling of high-performance computing applications that can scale to a large number of nodes, 2) characterization of the different ways time and energy are affected by degree of parallelism and processor clock frequency, and 3) optimization of performance under a power cap when scheduling applications, both bulk-synchronous and data-parallel task-based application models. | |
| dc.description.degree | Ph.D. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1853/56331 | |
| dc.language.iso | en_US | |
| dc.publisher | Georgia Institute of Technology | |
| dc.subject | Application modeling | |
| dc.subject | Statistical models | |
| dc.subject | System simulation | |
| dc.subject | Macro-scale simulation | |
| dc.subject | Energy modeling | |
| dc.subject | Power modeling | |
| dc.title | Application-level modeling and analysis of time and energy for optimizing power-constrained extreme-scale applications | |
| dc.type | Text | |
| dc.type.genre | Dissertation | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | School of Electrical and Computer Engineering | |
| local.contributor.corporatename | College of Engineering | |
| relation.isOrgUnitOfPublication | 5b7adef2-447c-4270-b9fc-846bd76f80f2 | |
| relation.isOrgUnitOfPublication | 7c022d60-21d5-497c-b552-95e489a06569 | |
| thesis.degree.level | Doctoral |