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Mobile processors for scientific use: A critical analysis of the impact of design trends on performance and energy usage in scientific applications
Thesis (PhD)--Stellenbosch University, 2022.
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| Format: | Thesis |
| Language: | en_ZA |
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2022
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| _version_ | 1867613870051295232 |
|---|---|
| access_status_str | Open Access |
| author | Smit, Willem |
| author2 | Du Preez, Johan |
| author_browse | Du Preez, Johan Smit, Willem |
| author_facet | Du Preez, Johan Smit, Willem |
| author_sort | Smit, Willem |
| collection | Thesis |
| description | Thesis (PhD)--Stellenbosch University, 2022. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/124705 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:43:00.621Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/124705 Mobile processors for scientific use: A critical analysis of the impact of design trends on performance and energy usage in scientific applications Smit, Willem Du Preez, Johan Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Mobile processors; scientific use: A critical analysis of the impact of design trends on performance and energy usage in scientific applications Processor scheduling (Electronic data processing) Scientific applications Predictive analytics Energy usage Thesis (PhD)--Stellenbosch University, 2022. ENGLISH ABSTRACT: This dissertation is an in-depth look into the effects that market driven decisions related to the spending of research and development funds have had on the performance of modern processors, especially as applied to the scientific user. This is placed in the context of the post-Moore era we are living in. The dissertation establishes trends over the last few generations of processors. By using this data to predict future trends it enables the scientific user to make better decisions on his future computing needs. AFRIKAANSE OPSOMMING: Geen opsomming beskikbaar Doctoral 2022-02-23T08:28:35Z 2022-04-29T09:27:31Z 2022-02-23T08:28:35Z 2022-04-29T09:27:31Z 2022-04 Thesis http://hdl.handle.net/10019.1/124705 en_ZA 142 pages application/pdf |
| spellingShingle | Mobile processors; scientific use: A critical analysis of the impact of design trends on performance and energy usage in scientific applications Processor scheduling (Electronic data processing) Scientific applications Predictive analytics Energy usage Smit, Willem Mobile processors for scientific use: A critical analysis of the impact of design trends on performance and energy usage in scientific applications |
| title | Mobile processors for scientific use: A critical analysis of the impact of design trends on performance and energy usage in scientific applications |
| title_full | Mobile processors for scientific use: A critical analysis of the impact of design trends on performance and energy usage in scientific applications |
| title_fullStr | Mobile processors for scientific use: A critical analysis of the impact of design trends on performance and energy usage in scientific applications |
| title_full_unstemmed | Mobile processors for scientific use: A critical analysis of the impact of design trends on performance and energy usage in scientific applications |
| title_short | Mobile processors for scientific use: A critical analysis of the impact of design trends on performance and energy usage in scientific applications |
| title_sort | mobile processors for scientific use a critical analysis of the impact of design trends on performance and energy usage in scientific applications |
| topic | Mobile processors; scientific use: A critical analysis of the impact of design trends on performance and energy usage in scientific applications Processor scheduling (Electronic data processing) Scientific applications Predictive analytics Energy usage |
| url | http://hdl.handle.net/10019.1/124705 |
| work_keys_str_mv | AT smitwillem mobileprocessorsforscientificuseacriticalanalysisoftheimpactofdesigntrendsonperformanceandenergyusageinscientificapplications |