[hpc-announce] Call-for-Papers: IEEE T-SUSC Special Issue on Low-Power Dependable Computing (Deadline: Jan 31)

Sudeep Pasricha sudeep at colostate.edu
Mon Jan 2 16:23:50 CST 2017

IEEE T-SUSC Special Issue on Low-Power Dependable Computing (LPDC)
Submission deadline (extended): Jan. 31, 2017

With the continuous technology scaling and miniaturization of computing
systems, faults become more common and it is imperative for most modern
computing systems to deploy various fault-tolerance techniques.
Traditionally, fault tolerance is achieved in general through various error
reduction, detection and recovery techniques at different levels (for
instance, circuit, architecture, operating systems, compiler and
application software) in the systems. On the other hand, fault-tolerance
does not come for free, and generally has power/energy/temperature
overheads, which warrants careful consideration since power/energy is a
first-class system resource and has been emerging as a significant limiting
factor for multicore scaling. In particular, understanding the
interdependencies between reliability and power are important to consider,
e.g., high power consumption may lead to elevated temperature that can
further aggravate reliability. In response to these challenges, this
special issue seeks original contributions on novel and bold ideas to
achieve low-power dependable computing (LPDC).

Topics of Interests: This issue considers the development of models,
algorithms and techniques at all levels (from circuits to software) for all
components (from memory to computation) from all modern computing systems
(from battery-powered embedded systems to large scale reliable servers) to
enable energy efficiency and fault tolerance. The topics of interest
include, but are not limited to, the following:

* Energy-efficient redundant circuit design
* Energy-efficient fault-tolerant architecture
* Compilation techniques for reliability and low-power
* Runtime management and scheduling algorithms for energy-efficiency and
fault tolerance
* Low-power reliable memory and storage systems
* Low-power and reliable on-chip networks and communication
* Mitigating reliability threats (aging, soft errors, process variations)
in Dark Silicon chips
* Emerging paradigms for low-power and dependable computing (e.g.,
approximate computing)
* Case studies on low-power dependable systems

Instructions for Authors: The special issue opens for all submissions.
Submitted papers should not have been previously published nor be currently
under consideration for publication elsewhere. Previously published
conference and workshop papers may only be submitted if the paper is
substantially extended with at least 30% new material, where the extension
requirement of 30% is not in textual volume but in novelty. Active
researchers/experts in related areas will be invited for contributions.
Authors of accepted papers in the Third Workshop on Low-Power Dependable
Computing (LPDC), to be held with International Green and Sustainable
Computing (IGSC) in November 2016, will also be invited to submit their
extended work. All submissions will go through the same review process and
will be treated equally in their consideration for publication.

Papers should be submitted via the Manuscript Central website (
https://mc.manuscriptcentral.com/tsusc-cs) and should follow IEEE T-SUSC
author guidelines (https://www.computer.org/web/tsusc/author), where the
page limit is 14 (including figures and references). Moreover, please
indicate that you are submitting to the Special issue on Low-Power
Dependable Computing (LPDC) on the first page and in the field "Author's
Cover Letter:" in Manuscript Central.

Any questions on this special issue should be addressed to Dr. Dakai Zhu at
dakai.zhu at utsa.edu .

Important Dates:

* Submission deadline (extended):  Jan. 31, 2017
* Preliminary notification:        Apr. 1, 2017
* Revision deadline:               May 15, 2017
* Final notification:              Jul. 15, 2017
* Final manuscript due:            Aug. 1, 2017
* Publication:                     Dec. 2017

Guest Co-Editors:
Dr. Dakai Zhu, University of Texas at San Antonio, USA
Dr. Muhammad Shafique, Vienna University of Technology (TU Wien), Austria
Dr. Sudeep Pasricha, Colorado State University, USA
Dr. Man Lin, St. Francis Xavier University, Canada
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