Title:
Collecting and representing parallel programs with high performance instrumentation
Collecting and representing parallel programs with high performance instrumentation
| dc.contributor.advisor | Conte, Thomas M. | |
| dc.contributor.author | Railing, Brian Paul | |
| dc.contributor.committeeMember | Pande, Santosh | |
| dc.contributor.committeeMember | Vuduc, Richard | |
| dc.contributor.committeeMember | Worthington, Bruce | |
| dc.contributor.committeeMember | Yalamanchili, Sudhakar | |
| dc.contributor.department | Computer Science | |
| dc.date.accessioned | 2016-01-07T17:38:21Z | |
| dc.date.available | 2016-01-07T17:38:21Z | |
| dc.date.created | 2015-12 | |
| dc.date.issued | 2015-11-16 | |
| dc.date.submitted | December 2015 | |
| dc.date.updated | 2016-01-07T17:38:21Z | |
| dc.description.abstract | Computer architecture has looming challenges with finding program parallelism, process technology limits, and limited power budget. To navigate these challenges, a deeper understanding of parallel programs is required. I will discuss the task graph representation and how it enables programmers and compiler optimizations to understand and exploit dynamic aspects of the program. I will present Contech, which is a high performance framework for generating dynamic task graphs from arbitrary parallel programs. The Contech framework supports a variety of languages and parallelization libraries, and has been tested on both x86 and ARM. I will demonstrate how this framework encompasses a diversity of program analyses, particularly by modeling a dynamically reconfigurable, heterogeneous multi-core processor. | |
| dc.description.degree | Ph.D. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1853/54431 | |
| dc.language.iso | en_US | |
| dc.publisher | Georgia Institute of Technology | |
| dc.subject | Computer architecture | |
| dc.subject | Compilers | |
| dc.subject | Compiler-based instrumentation | |
| dc.subject | Parallel programming | |
| dc.subject | Parallel program analysis | |
| dc.subject | Instrumentation performance | |
| dc.subject | Task graph | |
| dc.subject | Program representation | |
| dc.subject | Heterogeneous computing | |
| dc.title | Collecting and representing parallel programs with high performance instrumentation | |
| dc.type | Text | |
| dc.type.genre | Dissertation | |
| dspace.entity.type | Publication | |
| local.contributor.advisor | Conte, Thomas M. | |
| local.contributor.corporatename | College of Computing | |
| relation.isAdvisorOfPublication | 4d68ec01-18d9-48c9-ab69-55832ecf2dbf | |
| relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
| thesis.degree.level | Doctoral |