NDLI: Object Placement for Fully Associative Cache

Content Provider	IEEE Xplore Digital Library
Author	Chun-Chieh Lin Chuen-Liang Chen
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei (Chun-Chieh Lin; Chuen-Liang Chen)
Abstract	This paper models the properties of the data object placement problem for fully associative cache. A fine placement can help to reduce cache misses. The discussed placement approach includes discovering temporal relationship in the data access trace, and packing data objects to memory blocks. The difficulty is the packing process must consider both the cache organization and irregular object sizes. Therefore, we create the graphic model of the fully associative cache. Our study finds the placement optimization problem for one-page cache is equivalent to the graph partition problem, which is a well-known NP-hard problem. It also shows there is no single universal optimal placement for all numbers of cache pages. This finding helps to derive heuristics for arranging quality data object placements that cause less cache misses for the fully associative cache. The experiment demonstrates the proposed heuristics efficiently reduce cache misses, even better than triple the cache memory size. Therefore, it helps embedded system to reduce the demand of cache memory.
Starting Page	480
Ending Page	485
File Size	672990
Page Count	6
File Format	PDF
ISBN	9780769534923
DOI	10.1109/EUC.2008.77
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	graph partition Costs memory optimization Cache memory Scattering Ubiquitous computing Data engineering Cache storage fully associative cache Computer science Graphics NP-hard problem data placement Embedded system
Content Type	Text
Resource Type	Article

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