16th WORKSHOP ON JOB SCHEDULING STRATEGIES FOR PARALLEL PROCESSING (JSSPP)

in conjunction with IPDPS
Shanghai, China, May 25, 2012

The JSSPP workshop addresses all scheduling aspects of parallel processing.
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.

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Submission dates and guidelines
DEADLINE: February 17, 2012
NOTIFICATION: March 25, 2012
FINAL PAPER DUE: April 20, 2012
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 site:
http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0
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:
http://www.cs.huji.ac.il/~feit/parsched/

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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.

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Registration
Registration will be part of the IPDPS process and is handled by the IEEE.
For details, see the IPDPS web site http://www.ipdps.org/

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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).
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Workshop organizers
Walfredo Cirne, Google
Narayan Desai, Argonne National Laboratory
Eitan Frachtenberg, Facebook
Uwe Schwiegelshohn, TU Dortmund University

Program Committee
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