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JSSPP 2013 : Job Scheduling Strategies for Parallel Processors 2013


Conference Series : Job Scheduling Strategies for Parallel Processing
When May 24, 2013 - May 24, 2013
Where Boston, MA, US
Submission Deadline Feb 20, 2013
Notification Due Mar 20, 2013
Final Version Due May 10, 2013
Categories    job scheduling   cloud scheduling   resource management

Call For Papers


in conjunction with IPDPS
Boston, USA, May 24, 2013

The JSSPP workshop addresses all scheduling aspects of parallel

Large parallel systems have been in production for over 15 years.
Initially, they were primarily used in scientific computing. But with
the advance of Cloud computing and new processor paradigms such as
multi-core systems and reconfigurable architectures, scheduling in
parallel systems has grown in relevance and scope, significantly
extending its original focus. JSSPP has evolved with the area and now
fully covers parallel scheduling for commercial environments while
still maintaining strong interest in its traditional areas: scientific
computing, supercomputing and cluster platforms.

From its very beginning, JSSPP has strived to balance practice and
theory in its program. This combination provides a rich environment
for technical debate about scheduling approaches including both
academic researchers as well as participants from industry. JSSPP is a
high-visibility workshop, which has been ranking repeatedly in the top
10% of Citeseer's venue impact list. JSSPP solicits papers that belong
to any of the following topics, although papers on other themes that
are relevant in the context of JSSPP are welcome as well: Performance
evaluation of scheduling approaches, including methodology,
benchmarks, and metrics. Design of, and experience with, scheduling
approaches for production systems. Workloads on parallel processing
systems, including characterization, classification, and modeling.
Consideration of additional constraints in scheduling systems, like
job priorities, accounting, load estimation, and quality of service
guarantees. Scaling and composition of very large scheduling systems.
Interaction between schedulers on different levels, like processor
level as well as whole single- or even multi-owner systems. Impact of
scheduling strategies on application performance, user friendliness,
cost efficiency, and energy efficiency.

Submission dates and guidelines
DEADLINE: February 17, 2013
NOTIFICATION: March 20, 2013

Papers should be no longer than 20 single-spaced pages, 10pt font,
including figures and references. All papers in scope will be reviewed
by at least three members of the program committee. All submissions
must follow the LNCS format, see the instructions at Springer's web

Files must be submitted electronically in PDF format and must be
formatted for 8.5x11 inch paper. Submission procedures can be found at
the workshop's homepage:

Papers can be submitted via EDAS:

Goals Continuing the tradition started at IPPS'95, the workshop is
intended to attract people from academia, industry, computing centers,
national laboratories, Cloud and Grid initiatives, and parallel
computer vendors to address scheduling in parallel systems, and
attempt to resolve often conflicting goals expressed by system owners.
The workshop intends to achieve a balance between - reports of current
practices in the entire range of parallel systems, - proposals of
novel schemes that have not yet been tested in a real environment, and
- realistic models and their analysis.

Registration Registration will be part of the IPDPS process and is
handled by the IEEE. For details, see the IPDPS web site

Proceedings Interim proceedings containing a collection of the papers
presented will be distributed at the workshop in electronic form. It
is planned to also publish a post-workshop proceedings in the Springer
Lecture Notes on Computer Science series, as was done in previous
years (pending approval from Springer).


Workshop organizers
Walfredo Cirne, Google
Narayan Desai, Argonne National Laboratory

Program Committee
Henri Casanova, University of Hawaii at Manoa
Julita Corbalan, Technical University of Catalonia
Dick Epema, Delft University of Technology
Gilles Fedak, INRIA
Dror G. Feitelson, The Hebrew University
Liana Fong, IBM T. J. Watson Research Center
Eitan Frachtenberg, Facebook
Alfredo Goldman, USP
Allan Gottlieb, NYU
Alexandru Iosup, Delft University of Technology
Morris Jette, SchedMD LLC
Rajkumar Kettimuthu, Argonne National Lab
Dalibor Klusáček, Masaryk University
Zhiling Lan, Illinois Institute of Technology
Bill Nitzberg, Altair
David Oppenheimer, Google
Uwe Schwiegelshohn, TU Dortmund University
Mark Squillante, IBM Thomas J. Watson Research Center
Wei Tang, Argonne National Laboratory
Dan Tsafrir, Technion - Israel Institute of Technology
Ramin Yahyapour, GWDG - University Göttingen

Henri Casanova, University of Hawaii at Manoa
Julita Corbalan, Technical University of Catalunya
Dick Epema, Delft University of Technology
Dror G. Feitelson, The Hebrew University
Ian Foster, Argonne National Laboratory
Alfredo Goldman, University of Sao Paulo
Allan Gottlieb, New York University
Morris Jette, SchedMD
Rajkumar Kettimuthu, Argonne National Lab
Derrick Kondo, INRIA
Zhiling Lan, Illinois Institute of Technology
Virginia Lo, University of Oregon
Satoshi Matsuoka, Tokyo Institute of Technology
Jose Moreira, IBM T.J. Watson Research Center
Bill Nitzberg, Altair Engineering
Mark Squillante, IBM Thomas J. Watson Research Center
Dan Tsafrir, Technion
John Wilkes, Google
Ramin Yahyapour, The University of Göttingen

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