转发: [DistComp] CfP: Special Issue on Energy Efficient Multi-Core and Many-Core Systems (The Elsevier Journal of Parallel and Distributed Computing)

[Guiyuan JIANG]

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发件人: distributed-computi...@datasys.cs.iit.edu
[mailto:distributed-computi...@datasys.cs.iit.edu] 代表
Amirmohammad Rahmanisane
发送时间: 2015年8月6日 23:03
收件人: Amir Rahmani
主题: [DistComp] CfP: Special Issue on Energy Efficient Multi-Core and
Many-Core Systems (The Elsevier Journal of Parallel and Distributed
Computing)

/* Apologies for Multiple Copies */


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CALL FOR PAPERS

The Journal of Parallel and Distributed Computing (Elsevier)

Special issue on

Energy Efficient Multi-Core and Many-Core
Systems<http://www.journals.elsevier.com/journal-of-parallel-and-distributed
-computing/call-for-papers/special-issue-on-energy-efficient-multi-core-and-
many-core-s/> (E2MC2)

*************************************

Recent trends in the microprocessor industry have important ramifications
for the design of the next generation of high-performance as well as
embedded parallel and network-based systems. By increasing number of cores,
it is possible to improve the performance while keeping the power
consumption at the bay. This trend has reached the deployment stage in
parallel and network-based systems ranging from small ultramobile devices to
large telecommunication servers. It is expected that the number of cores in
these systems increases dramatically in the near future. For such systems,
energy efficiency is one of the primary design constraints. The cessation of
Dennard scaling and the dark silicon phenomenon have limited recent
improvements in transistor speed and energy efficiency, resulting in slowed
improvements in multi-core and many-core systems. Consequently,
architectural innovation has become crucial to achieve performance and
efficiency gains. New technologies that combine di fferent types of cores
or similar cores with different computation capabilities can result in a
better match between the workload and the execution hardware improving
overall system energy efficiency. In addition, multi-core and many-core
systems need to be able to reconfigure themselves adaptively by monitoring
their own condition and the surrounding environment in order to adapt
themselves to different scenarios and performance-power requirements.
Runtime monitoring becomes crucial in the near future parallel and
distributed multicore systems due to increase in thermal issues as well as
due to the need for various adaptive managements. This special issue
addresses all aspects of energy-efficient computing in parallel and
distributed multi-core and many-core systems.

TOPICS (non-exclusive)
* Power and thermal estimation, analysis, optimization, and management
techniques for hardware and software systems
* Energy- and thermal aware application mapping and scheduling
* Energy- and thermal-aware dark silicon system design and optimization
* Energy-efficient heterogeneous system architecture
* Programming models, tools, languages and compilers to support energy-aware
computing
* Low-power monitor and sensor circuits
* Energy Efficient defect/fault tolerance, testing, and reliability
* Aging aware design, energy- and thermal-related reliability issues
* Energy-efficient off-chip/on-chip communication architectures including
networks-on-chip
* 3D architectures, integration and synthesis
* Energy-proportional systems
* Energy-efficient memory architectures and technologies (e.g. coherence
protocols)
* Formal methods for modeling, design and verification of energy efficient
parallel and network-based systems
* Application analysis and parallelization for energy-efficient design
* Cases studies of parallel and network-based systems demonstrating
energy-efficient implementation as well as emerging applications and design
frameworks

Guest Editors:
* Hannu Tenhunen, Royal Institute of Technology, Sweden
(ha...@kth.se<mailto:ha...@kth.se>)
* Alexander V. Veidenbaum, University of California, Irvine, USA (alexv@ics.
uci.edu<mailto:al...@ics.uci.edu>)
* Jose L. Ayala, Complutense University of Madrid, Spain
(jay...@ucm.es<mailto:jay...@ucm.es>)
* Pasi Liljeberg, University of Turku, Finland
(pak...@utu.fi<mailto:pak...@utu.fi>)
* Amir Rahmani, University of Turku, Finland
(ami...@utu.fi<mailto:ami...@utu.fi>)

Important Dates:
Manuscript due: September 1st, 2015
Acceptance/rejection notification: November 15th, 2015 2nd round check:
January 15th, 2016 Final manuscript due: March 15th, 2016

Submissions:
Submitted manuscripts will be reviewed according to the peer review policy
of JPDC as available on-line at
http://www.journals.elsevier.com/journal-of-parallel-and-distributed-computi
ng. Previously published conference papers should be clearly stated by the
authors and an explanation should be provided how such papers have been
extended to be considered for this special issue. Manuscripts should be
formatted and be submitted online according to the instructions for JPDC at
http://www.elsevier.com/journals/journal-of-parallel-and-distributed-computi
ng/0743-7315/guide-for-authors. As papers are uploaded, authors should make
sure to select the correct special issue (select "SI: E2MC2" when reaching
the Article Type step).
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