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Improving Fine-Grained Resource Mapp...
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ProQuest Information and Learning Co.
Improving Fine-Grained Resource Mapping on Tightly Coupled Heterogeneous Multi-Cores.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Improving Fine-Grained Resource Mapping on Tightly Coupled Heterogeneous Multi-Cores./
作者:
Chen, Robert.
面頁冊數:
1 online resource (93 pages)
附註:
Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Contained By:
Dissertation Abstracts International79-03B(E).
標題:
Computer science. -
電子資源:
click for full text (PQDT)
ISBN:
9780355534467
Improving Fine-Grained Resource Mapping on Tightly Coupled Heterogeneous Multi-Cores.
Chen, Robert.
Improving Fine-Grained Resource Mapping on Tightly Coupled Heterogeneous Multi-Cores.
- 1 online resource (93 pages)
Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Thesis (Ph.D.)
Includes bibliographical references
With increasing power and application demands, heterogeneous multi-core processors are becoming more prevalent. However, the key to proper utilization of heterogeneous multi-cores is assigning, or mapping, the right application to the right core type. Recent work has shown that fine-grained mapping takes advantage of short program phases with highly variant performance requirements, and can elicit greater benefits from tightly coupled heterogeneous multi-cores. This work explores various methods to improve fine-grained mapping techniques to better utilize heterogeneous multi-cores.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355534467Subjects--Topical Terms:
573171
Computer science.
Index Terms--Genre/Form:
554714
Electronic books.
Improving Fine-Grained Resource Mapping on Tightly Coupled Heterogeneous Multi-Cores.
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With increasing power and application demands, heterogeneous multi-core processors are becoming more prevalent. However, the key to proper utilization of heterogeneous multi-cores is assigning, or mapping, the right application to the right core type. Recent work has shown that fine-grained mapping takes advantage of short program phases with highly variant performance requirements, and can elicit greater benefits from tightly coupled heterogeneous multi-cores. This work explores various methods to improve fine-grained mapping techniques to better utilize heterogeneous multi-cores.
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