Design of Efficient TLB-based Data Classification Mechanisms in CMPs: Private/Shared Data Classification - Brossura
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Most of the data referenced by sequential and parallel applications running in current chip multiprocessors are referenced by a single thread, i.e., private. Recent proposals leverage this observation to improve many aspects of chip multiprocessors, such as reducing coherence overhead or the access latency to distributed caches. The effectiveness of those proposals depends to a large extent on the amount of detected private data. However, the mechanisms proposed so far either do not consider either thread migration or the private use of data within different application phases, or do entail high overhead. As a result, a considerable amount of private data is not detected. In order to increase the detection of private data, this book proposes a TLB-based mechanism that is able to account for both thread migration and private application phases with low overhead. Classification status in the proposed TLB-based classification mechanisms is determined by the presence of the page translation stored in other core’s TLBs. The classification schemes are analyzed in multilevel TLB hierarchies, for systems with both private and distributed shared last-level TLBs.
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Design of Efficient TLB-based Data Classification Mechanisms in CMPs
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LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 6202017325
ISBN 13: 9786202017329
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most of the data referenced by sequential and parallel applications running in current chip multiprocessors are referenced by a single thread, i.e., private. Recent proposals leverage this observation to improve many aspects of chip multiprocessors, such as reducing coherence overhead or the access latency to distributed caches. The effectiveness of those proposals depends to a large extent on the amount of detected private data. However, the mechanisms proposed so far either do not consider either thread migration or the private use of data within different application phases, or do entail high overhead. As a result, a considerable amount of private data is not detected. In order to increase the detection of private data, this book proposes a TLB-based mechanism that is able to account for both thread migration and private application phases with low overhead. Classification status in the proposed TLB-based classification mechanisms is determined by the presence of the page translation stored in other core's TLBs. The classification schemes are analyzed in multilevel TLB hierarchies, for systems with both private and distributed shared last-level TLBs. 148 pp. Englisch. Codice articolo 9786202017329
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Design of Efficient TLB-based Data Classification Mechanisms in CMPs
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LAP LAMBERT Academic Publishing, 2017
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ISBN 13: 9786202017329
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Design of Efficient TLB-based Data Classification Mechanisms in CMPs: Private/Shared Data Classification
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202017325
ISBN 13: 9786202017329
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Paperback. Condizione: Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock. Codice articolo zk6202017325
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Design of Efficient TLB-based Data Classification Mechanisms in CMPs
Editore:
LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 6202017325
ISBN 13: 9786202017329
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Most of the data referenced by sequential and parallel applications running in current chip multiprocessors are referenced by a single thread, i.e., private. Recent proposals leverage this observation to improve many aspects of chip multiprocessors, such as reducing coherence overhead or the access latency to distributed caches. The effectiveness of those proposals depends to a large extent on the amount of detected private data. However, the mechanisms proposed so far either do not consider either thread migration or the private use of data within different application phases, or do entail high overhead. As a result, a considerable amount of private data is not detected. In order to increase the detection of private data, this book proposes a TLB-based mechanism that is able to account for both thread migration and private application phases with low overhead. Classification status in the proposed TLB-based classification mechanisms is determined by the presence of the page translation stored in other core's TLBs. The classification schemes are analyzed in multilevel TLB hierarchies, for systems with both private and distributed shared last-level TLBs.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. Codice articolo 9786202017329
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Design of Efficient TLB-based Data Classification Mechanisms in CMPs : Private/Shared Data Classification
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202017325
ISBN 13: 9786202017329
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most of the data referenced by sequential and parallel applications running in current chip multiprocessors are referenced by a single thread, i.e., private. Recent proposals leverage this observation to improve many aspects of chip multiprocessors, such as reducing coherence overhead or the access latency to distributed caches. The effectiveness of those proposals depends to a large extent on the amount of detected private data. However, the mechanisms proposed so far either do not consider either thread migration or the private use of data within different application phases, or do entail high overhead. As a result, a considerable amount of private data is not detected. In order to increase the detection of private data, this book proposes a TLB-based mechanism that is able to account for both thread migration and private application phases with low overhead. Classification status in the proposed TLB-based classification mechanisms is determined by the presence of the page translation stored in other core's TLBs. The classification schemes are analyzed in multilevel TLB hierarchies, for systems with both private and distributed shared last-level TLBs. Codice articolo 9786202017329
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Design of Efficient TLB-based Data Classification Mechanisms in CMPs | Private/Shared Data Classification
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202017325
ISBN 13: 9786202017329
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Taschenbuch. Condizione: Neu. Design of Efficient TLB-based Data Classification Mechanisms in CMPs | Private/Shared Data Classification | Albert Esteve | Taschenbuch | 148 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202017329 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 109586220
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