NDLI: Compiler-Directed Code Restructuring for Operating with Compressed Arrays

Content Provider	IEEE Xplore Digital Library
Author	Yemliha, T. Chen, G. Ozturk, O. Kandemir, M. Degalahal, V.S.
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. & Comput. Sci., Syracuse Univ., NY (Yemliha, T.)
Abstract	Memory system utilization is an important issue for many embedded systems that operate under tight memory limitations. This is a strong motivation for recent research on reducing the number of banks required during execution of a given application. Reducing memory space requirements of an application can bring three potential benefits. First, if we are to design a customized memory system for a given embedded application, reducing its memory requirements can cut the overall cost. Second, if we are to execute our application in a multi-programmed environment, the saved memory space can be used by other applications, thereby increasing the degree of multiprogramming. Third, it is also possible to reduce the energy consumption in a banked memory system by reducing the amount of memory space occupied by application data and placing the unused banks into low-power operating modes. This paper proposes a novel memory saving strategy for array-dominated embedded applications. The idea is to exploit the value locality in array data (e.g., those from the multi-media domain) by storing arrays in a compressed form to save memory space. Based on the compressed forms of the input arrays, our compiler-based approach automatically determines the compressed forms of the intermediate and output arrays and also automatically restructures the application code so that we can also reduce execution time (by exploiting value locality). Our experimental results show that this scheme is very effective in practice and reduces the memory space requirements of the applications tested by 19% on average. The experimental results also show that the proposed approach reduces the execution cycles of the original codes by 14% on average
Sponsorship	VLSI Soc. of India IEEE CAS Soc. IEEE ED Soc. ACM IEEE SSC Soc
Starting Page	221
Ending Page	226
File Size	339289
Page Count	6
File Format	PDF
ISBN	0769527620
ISSN	10639667
DOI	10.1109/VLSID.2007.50
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-01-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Embedded system Energy consumption Computer science Memory management Costs Testing Embedded computing Programming profession Scalability Constraint optimization
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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