Influence of compiler optimizations on system power

Mahmut Kandemir; N. Vijaykrishnan; Mary Jane Irwin; Wu Ye

doi:10.1109/92.974893

Influence of compiler optimizations on system power

Mahmut Kandemir, N. Vijaykrishnan, Mary Jane Irwin, Wu Ye

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

Abstract

Optimizing for energy constraints is of critical importance due to the proliferation of battery-operated embedded devices. Thus, it is important to explore both hardware and software solutions for optimizing energy. The focus of high-level compiler optimizations has traditionally been on improving performance. In this paper, we present an experimental evaluation of several state-of-the-art high-level compiler optimizations on energy consumption, considering both the processor core (datapath) and memory system. This is in contrast to many of the previous works that have considered them in isolation.

Original language	English (US)
Pages (from-to)	801-804
Number of pages	4
Journal	IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume	9
Issue number	6
DOIs	https://doi.org/10.1109/92.974893
State	Published - Dec 2001

All Science Journal Classification (ASJC) codes

Software
Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/92.974893

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abstract = "Optimizing for energy constraints is of critical importance due to the proliferation of battery-operated embedded devices. Thus, it is important to explore both hardware and software solutions for optimizing energy. The focus of high-level compiler optimizations has traditionally been on improving performance. In this paper, we present an experimental evaluation of several state-of-the-art high-level compiler optimizations on energy consumption, considering both the processor core (datapath) and memory system. This is in contrast to many of the previous works that have considered them in isolation.",

author = "Mahmut Kandemir and N. Vijaykrishnan and Irwin, {Mary Jane} and Wu Ye",

note = "Funding Information: Manuscript received October 6, 2000; revised June 1, 2001. This work was supported in part by NSF Grants 970518, 0082064, 0093082, 0093085, and 0073419. The authors are with Microsystems Design Lab, The Pennsylvania State University, University Park, PA 16802 USA (e-mail: {kandemir@cse.psu.edu; vijay@cse.psu.edu; mji@cse.psu.edu; wye@cse.psu.edu). Publisher Item Identifier S 1063-8210(01)08003-9.",

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AU - Vijaykrishnan, N.

AU - Irwin, Mary Jane

AU - Ye, Wu

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AB - Optimizing for energy constraints is of critical importance due to the proliferation of battery-operated embedded devices. Thus, it is important to explore both hardware and software solutions for optimizing energy. The focus of high-level compiler optimizations has traditionally been on improving performance. In this paper, we present an experimental evaluation of several state-of-the-art high-level compiler optimizations on energy consumption, considering both the processor core (datapath) and memory system. This is in contrast to many of the previous works that have considered them in isolation.

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Influence of compiler optimizations on system power

Abstract

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