[hpc-announce] CFP: Special Issue of IEEE Computer on Energy-Efficient Computing - abstracts by 22 Jan 2016

Vladimir Getov V.S.Getov at westminster.ac.uk
Mon Jan 11 02:46:59 CST 2016

Special Issue of IEEE Computer on Energy-Efficient Computing – Call for Papers

Abstracts of up to 200 words are due by 22 January 2016 (mail to energy_2016 at computer.org)
Full paper submission deadline: 1 March 2016
Publication date: October 2016

When exascale computer systems begin operation, estimated for early 2020, we will usher in an era with power and energy consumption as scalable computing’s primary concerns. To achieve viable performance, revolutionary methods—as well as a stronger integration among hardware, system software, and applications—will be required. Equally important will be the ability to conduct fine-grained spatial and temporal measurements and control, which will facilitate energy-efficient computing across all layers of current and future computer systems.

Existing energy-efficient approaches rely heavily on just low-power hardware, which will not help overcome the emerging challenges. It is pivotal for hardware to enable energy-efficient mechanisms to dynamically optimize energy consumption for various workloads and to reduce data motion, which uses considerable power. Also, high-fidelity measurement techniques, typically ignored in data-center-level measurement, are important for scalable and energy-efficient interplay in different application, system software, and hardware layers.

For this special issue, Computer seeks submissions offering research results and experimental solutions related to energy-efficient computing issues. Example topics include, but are not limited to, the following:
• Power-aware applications, system software, and architectures that significantly increase energy efficiency
• In-band and out-of-band infrastructures for high-resolution energy management throughout the hardware/software stack
• Analysis, modeling, simulation, and optimization techniques for balancing the interplay among performance, power, and reliability
• Low-power-consumption design methodologies for big data centers

Only articles describing previously unpublished, original, state-of-the-art research that are not currently under review by a conference or a journal will be considered. Updates to ongoing research efforts are welcome, as long as the content is at least 30 percent different from published manuscripts, the new document cites the authors’ previous work, and the authors provide the editors with a description of how the new document differs.

Articles should be understandable by a broad audience of computer science and engineering professionals, avoiding a focus on theory, mathematics, jargon, and abstract concepts. Accepted papers will be professionally edited for content and style.

Please direct any correspondence via email (energy_2016 at computer.org) to the guest editors:

Pradip Bose, IBM Thomas J. Watson Research Center
Vladimir Getov, University of Westminster
Adolfy Hoisie, Pacific Northwest National Laboratory

Abstracts of up to 200 words are due via email to at energy_2016 at computer.org by 22 January 2016. Articles (only for accepted abstracts) are due by 1 March 2016. For author guidelines and information on how to submit a full manuscript electronically, visit www.computer.org/portal/web/peerreviewmagazines/computer.
The University of Westminster is a charity and a company limited by guarantee. Registration number: 977818 England. Registered Office: 309 Regent Street, London W1B 2UW.

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