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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
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DTSTART:20121114T223000Z
DTEND:20121115T000000Z
LOCATION:155-F
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Power and energy efficiency have emerged as first-order design constraints in parallel computing due to the tremendous demand for power and energy efficiency in high-performance, enterprise and mobile computing. Despite the interest surrounding energy efficiency, there is no clear consensus on the metric(s) and workload(s) (i.e., benchmark(s)) for comparing efficiency of systems. The metric and workload must be capable of providing a system-wide view of energy efficiency in light of the predictions that the energy consumed by the non-computational elements will dominate the power envelope of the system. There is also a commensurate need to maximize the usage of a system under a given power budget in order to amortize energy related expenses. Effective methodologies are required to maximize usage under a power budget. This dissertation work revolves around the above mentioned three dimensions (i.e., metrics, workloads and methodologies) for enabling energy efficient parallel computing.
SUMMARY:Metrics, Workloads and Methodologies for Energy Efficient Parallel Computing
PRIORITY:3
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