Produktnummer:
181e43311332714a45bade933649ed1810
Themengebiete: | Energy Dissipation Low-Power Devices Modeling Power-Aware Computer Systems Power-Aware Computing Power-Performance Analysis Power Dissipation compiler computer optimization |
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Veröffentlichungsdatum: | 11.07.2001 |
EAN: | 9783540423294 |
Sprache: | Englisch |
Seitenzahl: | 158 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Falsafi, B. Vijaykumar, T.N. |
Verlag: | Springer Berlin |
Untertitel: | First International Workshop, PACS 2000 Cambridge, MA, USA, November 12, 2000 Revised Papers |
Produktinformationen "Power-Aware Computer Systems"
The phenomenal increases in computer system performance in recent years have been accompanied by a commensurate increase in power and energy dissipation. The latter has directly resulted in demand for expensive packaging and cooling technology, an increase in product cost, and a decrease in product reliability in all segments of the computing market. Moreover, the higher power/energy dissipation has signi cantly reduced battery life in portable systems. While - stem designers have traditionally relied on circuit-level techniques to reduce - wer/energy, there is a growing need to address power/energy dissipation at all levels of the computer system. We are pleased to welcome you to the proceedings of the Power-Aware C- puter Systems (PACS 2000) workshop. PACS 2000 was the rst workshop in its series and its aim was to bring together experts from academia and industry to address power-/energy-awareness at all levels of computer systems. In these p- ceedings, we bring you several excellent research contributions spanning a wide spectrum of areas in power-aware systems, from application all the way to c- pilers and microarchitecture, and to power/performance estimating models and tools. We have grouped the contributions into the following speci c categories: (1) power-aware microarchitectural/circuit techniques, (2) application/compiler power optimizations, (3) exploiting opportunity for power optimization in - struction scheduling and cache memories, and (4) power/performance models and tools.

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