A Novel Optimization Approach Based on Scratchpad Memory for Mobile LBS

Rui Xin Hu; Wei Hu; Ze Yu Zuo; Min Wang; Jing Xu; Yi Ke Lv

doi:10.4028/www.scientific.net/AMM.325-326.935

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 325-326A Novel Optimization Approach Based on Scratchpad...

A Novel Optimization Approach Based on Scratchpad Memory for Mobile LBS

Abstract:

With the popularization of mobile broadband network, mobile devices have been used more wildly in recent years. As an important part of mobile services, LBS (Location Based Service) also has rapid development for such devices. However, LBS on mobile devices will consume more energy and mobile users have more restrict performance requirement than before. As an important part of on-chip memory, scratchpad memory (SPM) has less power-consumption and higher performance for SPM is controlled by software and without extra tags. In this paper, we proposed a novel optimization approach based SPM for mobile LBS to reduce the power-consumption and improve the performance of the application. According to our approach, SPM is used as the on-chip main memory to contain the data with high frequency of use. The experimental results show that SPM can optimize the mobile LBS both on power-consumption and performance.

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Periodical:

Applied Mechanics and Materials (Volumes 325-326)

Pages:

935-938

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.325-326.935

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Online since:

June 2013

Authors:

Rui Xin Hu, Wei Hu, Ze Yu Zuo, Min Wang, Jing Xu, Yi Ke Lv

Keywords:

Embedded System, Mobile Location-Based Service, Scratchpad Memory

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