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Detecting and quantifying resource contention in concurrent programs
Thesis (MSc)--Stellenbosch University, 2016
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2016
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| _version_ | 1867613752431476736 |
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| access_status_str | Open Access |
| author | Venter, Dirk Willem |
| author2 | Inggs, Cornelia P. |
| author_browse | Inggs, Cornelia P. Venter, Dirk Willem |
| author_facet | Inggs, Cornelia P. Venter, Dirk Willem |
| author_sort | Venter, Dirk Willem |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MSc)--Stellenbosch University, 2016 |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/98838 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:41:07.950Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/98838 Detecting and quantifying resource contention in concurrent programs Venter, Dirk Willem Inggs, Cornelia P. Stellenbosch University. Faculty of Science. Department of Mathematical Sciences (Computer Science) Cache contention UCTD Concurrent computing Computers -- Concurrent programs Computer networks -- Resource contention Computer networks -- Shared respources Thesis (MSc)--Stellenbosch University, 2016 ENGLISH ABSTRACT : Parallel programs, both shared-memory and message-passing programs, typically require the sharing of resources. For example, software resources, such as shared mutual exclusion locks and hardware resources, such as caches and memory. Shared resources can only be used by one thread or process at a time. The competition for limited resources is called resource contention. The result of resource contention is delays while waiting for access to a resource and/or extra computational overhead to resolve the request for a resource. Thus, the performance of the program can be improved by identifying and reducing contention for shared resources. This study investigates the effect of individual types of contention for hardware and software resources in detail and discusses the three tools that were developed to identify and quantify the sources of contention in concurrent programs. AFRIKAANSE OPSOMMING : Geen Afrikaanse opsomming geskikbaar nie 2016-03-09T15:08:03Z 2016-03-09T15:08:03Z 2016-03 Thesis http://hdl.handle.net/10019.1/98838 en_ZA Stellenbosch University ix, 116 pages : illustrations (chiefly colour) application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Cache contention UCTD Concurrent computing Computers -- Concurrent programs Computer networks -- Resource contention Computer networks -- Shared respources Venter, Dirk Willem Detecting and quantifying resource contention in concurrent programs |
| title | Detecting and quantifying resource contention in concurrent programs |
| title_full | Detecting and quantifying resource contention in concurrent programs |
| title_fullStr | Detecting and quantifying resource contention in concurrent programs |
| title_full_unstemmed | Detecting and quantifying resource contention in concurrent programs |
| title_short | Detecting and quantifying resource contention in concurrent programs |
| title_sort | detecting and quantifying resource contention in concurrent programs |
| topic | Cache contention UCTD Concurrent computing Computers -- Concurrent programs Computer networks -- Resource contention Computer networks -- Shared respources |
| url | http://hdl.handle.net/10019.1/98838 |
| work_keys_str_mv | AT venterdirkwillem detectingandquantifyingresourcecontentioninconcurrentprograms |