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Computation offloading to save energy on handheld devices: a partition scheme

Li, Zhiyuan, Wang, Cheng, Xu, Rong·2001·Proceedings of the international conference on Compilers, architecture, and synthesis for embedded systems - CASES '01

Abstract

We consider handheld computing devices which are connected to a server (or a powerful desktop machine) via a wireless LAN. On such devices, it is often possible to save the energy on the handheld by offloading its computation to the server. In this work, based on profiling information on computation time and data sharing at the level of procedure calls, we construct a cost graph for a given application program. We then apply a partition scheme to statically divide the program into server tasks and client tasks such that the energy consumed by the program is minimized. Experiments are performed on a suite of multimedia benchmarks. Results show considerable energy saving for several programs through offloading.

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Metadata

Authors
Li, Z., Wang, C., & Xu, R.
Venue
Proceedings of the international conference on Compilers, architecture, and synthesis for embedded systems - CASES '01
Publisher
ACM Press
Published
2001
Pages
238
OpenAlex
W1986293551
Cited by
233
References
0
Type
conference abstract
Language
en
Open access
closed

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CoChat. (2026). Citation check: Computation offloading to save energy on handheld devices: a partition scheme. https://app.cochat.ai/papers/10.1145/502217.502257
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Li, Z., Wang, C., & Xu, R. (2001). Computation offloading to save energy on handheld devices: a partition scheme. Proceedings of the international conference on Compilers, architecture, and synthesis for embedded systems - CASES '01. https://doi.org/10.1145/502217.502257

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