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ASPDAC
2006
ACM

Energy savings through embedded processing on disk system

13 years 9 months ago
Energy savings through embedded processing on disk system
Abstract— Many of today’s data-intensive applications manipulate disk-resident data sets. As a result, their overall behavior is tightly coupled with their disk performance. Unfortunately, most of these applications quickly become disk bound since disk I/O times, the communication latencies, and energy consumption required to transfer disk data to the host machine can be very large. A promising solution to this problem is to embed computational power into the disk storage system. This paper concentrates on such a smart disk based architecture and proposes an automated approach that partitions a given application code between the host machine and the smart disk. The main goal is to perform data filterings, identified at compile time, on the smart disk, thereby reducing the energy spent in communicating disk data to the host unit for processing. To achieve this, the proposed approach uses integer linear programming to identify the code fragments that perform significant data filt...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, F
Added 13 Jun 2010
Updated 13 Jun 2010
Type Conference
Year 2006
Where ASPDAC
Authors Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, Feihui Li
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