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1. |
Record Nr. |
UNINA9910708182503321 |
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Titolo |
Examining accountability and corporate culture in wake of the GM recalls : hearing before the Subcommittee on Consumer Protection, Product Safety, and Insurance of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Thirteenth Congress, second session, July 17, 2014 |
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Pubbl/distr/stampa |
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Washington : , : U.S. Government Publishing Office, , 2015 |
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Descrizione fisica |
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1 online resource (iii, 107 pages) : illustrations |
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Collana |
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Soggetti |
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General Motors automobiles - Defects - United States |
Automobiles - Ignition |
Product recall - United States |
Traffic fatalities - United States |
Social responsibility of business |
Corporate culture - United States |
Automobiles - Defects - Government policy - United States |
Legislative hearings. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed on Sept. 29, 2015). |
Paper version available for sale by the Superintendent of Documents, United States Government Publishing Office. |
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Nota di bibliografia |
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Includes bibliographical references. |
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2. |
Record Nr. |
UNINA9910437571803321 |
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Autore |
Li Dawei |
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Titolo |
Energy-aware scheduling on multiprocessor platforms / / Dawei Li, Jie Wu |
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Pubbl/distr/stampa |
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New York, : Springer, 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (66 p.) |
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Collana |
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SpringerBriefs in computer science, , 2191-5768 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- System Model -- Scheduling on Homogeneous DVFS Multiprocessor Platforms -- Scheduling on Hetereogeneous DVFS Multiprocessor Systems -- Related Work -- Conclusion and Future Directions. |
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Sommario/riassunto |
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Multiprocessor platforms play important roles in modern computing systems, and appear in various applications, ranging from energy-limited hand-held devices to large data centers. As the performance requirements increase, energy-consumption in these systems also increases significantly. Dynamic Voltage and Frequency Scaling (DVFS), which allows processors to dynamically adjust the supply voltage and the clock frequency to operate on different power/energy levels, is considered an effective way to achieve the goal of energy-saving. This book surveys existing works that have been on energy-aware task scheduling on DVFS multiprocessor platforms. Energy-aware scheduling problems are intrinsically optimization problems, the formulations of which greatly depend on the platform and task models under consideration. Thus, Energy-aware Scheduling on Multiprocessor Platforms covers current research on this topic and classifies existing works according to two key standards, namely, homogeneity/heterogeneity of multiprocessor platforms and the task types considered. Under this classification, other sub-issues are also included, such as, slack reclamation, fixed/dynamic priority scheduling, partition-based/global scheduling, and application-specific power consumption, etc. |
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