**** CALL FOR PAPERS ****
The 22nd International ACM Symposium on
High-Performance Parallel and Distributed Computing
(HPDC'13)
New York City, USA - June 17-21, 2013
http://www.hpdc.org/2013
The ACM International Symposium on High-Performance Parallel and Distributed
Computing (HPDC)
is the premier annual conference for presenting the latest research on the
design,
implementation, evaluation, and the use of parallel and distributed systems for
high-end computing.
In 2013, the 22nd HPDC and affiliated workshops will take place in the heart of
iconic New York
City from June 17-21.
**** IMPORTANT DATES ****
Abstracts: 14 January 2013
Papers: 21 January 2013 (no extensions)
Reviews released to authors: 6 March 2013
Author rebuttals due: 10 March 2013
Author notifications: 17 March 2013
**** HPDC'13 GENERAL CO-CHAIRS ****
Manish Parashar, Rutgers University
Jon Weissman, University of Minnesota
**** HPDC'13 PROGRAM CO-CHAIRS ****
Dick Epema, Delft University of Technology
Renato Figueiredo, University of Florida
**** HPDC'13 WORKSHOPS CHAIR ****
Abhishek Chandra, University of Minnesota
**** HPDC'13 LOCAL ARRANGEMENTS CHAIR ****
Daniele Scarpazza, DEShaw Research
**** HPDC'13 SPONSORSHIP CHAIR ****
Dean Hildebrand, IBM Almaden
**** HPDC'13 PUBLICITY CO-CHAIRS ****
Alexandru Iosup, Delft University of Technology, the Netherlands
Ioan Raicu, Illinois Institute of Technology, USA
Kenjiro Taura, University of Tokyo, Japan
Bruno Schulze, National Laboratory for Scientific Computing, Brazil
**** SCOPE AND TOPICS ****
Submissions are welcomed on high-performance parallel and distributed computing
topics including but not limited to:
clusters, clouds, grids, data-intensive computing, massively multicore, and
global-scale computing systems.
New scholarly research showing empirical and reproducible results in
architectures, systems, and networks is strongly encouraged,
as are experience reports of operational deployments that can provide insights
for future research on HPDC applications and systems.
All papers will be evaluated for their originality, technical depth and
correctness, potential impact,
relevance to the conference, and quality of presentation. Research papers must
clearly demonstrate research contributions and novelty,
while experience reports must clearly describe lessons learned and demonstrate
impact.
In the context of high-performance parallel and distributed computing, the
topics of interest include, but are not limited to:
* Systems, networks, and architectures for high-end computing
* Massively multicore systems
* Resource virtualization
* Programming languages and environments
* I/O, storage systems, and data management
* Resource management and scheduling, including energy-?????aware techniques
* Performance modeling and analysis
* Fault tolerance, reliability, and availability
* Data-intensive computing
* Applications of parallel and distributed computing
**** PAPER SUBMISSION GUIDELINES ****
Authors are invited to submit technical papers of at most 12 pages in PDF
format, including figures and references.
Papers should be formatted in the ACM Proceedings Style and submitted via the
conference web site.
No changes to the margins, spacing, or font sizes as specified by the style file
are allowed.
Accepted papers will appear in the conference proceedings, and will be
incorporated into the ACM Digital Library.
A limited number of papers will be accepted as posters.
Papers must be self-contained and provide the technical substance required for
the program committee to evaluate their contributions.
Papers should thoughtfully address all related work, particularly work presented
at previous HPDC events.
Submitted papers must be original work that has not appeared in and is not under
consideration for another conference or a journal.
See the ACM Prior Publication Policy for more details.
**** IMPORTANT DATES ****
Abstracts Due: 14 January 2013
Papers Due: 21 January 2013 (no extensions)
**** Program Committee ****
David Abramson, Monash University, Australia
Kento Aida, National Institute of Informatics, Japan
Gabriel Antoniu INRIA, France
Henri Bal, Vrije Universiteit, the Netherlands
Adam Barker, University of St Andrews, UK
Michela Becchi, University of Missouri - Columbia, USA
John Bent, EMC, USA
Ali Butt, Virginia Tech, USA
Kirk Cameron, Virginia Tech, USA
Franck Cappello, INRIA, France and University of Illinois at Urbana-Champaign,
USA
Henri Casanova, University of Hawaii, USA
Abhishek Chandra, University of Minnesota, USA
Andrew Chien, University of Chicago and Argonne National Laboratory, USA
Paolo Costa, Imperial College London, UK
Peter Dinda, Northwestern University, USA
Gilles Fedak, INRIA, France
Ian Foster, University of Chicago and Argonne National Laboratory, USA
Clemens Grelck, University of Amsterdam, the Netherlands
Dean Hildebrand, IBM Research, USA
Fabrice Huet, INRIA-University of Nice, France
Adriana Iamnitchi, University of South Florida, USA
Alexandru Iosup, Delft University of Technology, the Netherlands
Kate Keahey, Argonne National Laboratory, USA
Thilo Kielmann, Vrije Universiteit, the Netherlands
Charles Kilian, Purdue University, USA
Zhiling Lan, Illinois Institute of Technology, USA
John Lange, University of Pittsburgh, USA
Barney Maccabe, Oak Ridge National Laboratory, USA
Carlos Maltzahn, University of California, Santa Cruz, USA
Naoya Maruyama, RIKEN Advanced Institute for Computational Science, Japan
Satoshi Matsuoka, Tokyo Institute of Technology, Japan
Manish Parashar, Rutgers University, USA
Judy Qiu, Indiana University, USA
Ioan Raicu, Illinois Institute of Technology, USA
Philip Rhodes, University of Mississippi, USA
Matei Ripeanu, University of British Columbia, Canada
Prasenjit Sarkar, IBM Research, USA
Daniele Scarpazza, D.E. Shaw Research, USA
Karsten Schwan, Georgia Institute of Technology, USA
Martin Swany, Indiana University, USA
Michela Taufer, University of Delaware, USA
Kenjiro Taura, University of Tokyo, Japan
Douglas Thain, University of Notre Dame, USA
Cristian Ungureanu, NEC Research, USA
Ana Varbanescu, Delft University of Technology, the Netherlands
Chuliang Weng, Shanghai Jiao Tong University, China
Jon Weissman, University of Minnesota, USA
Yongwei Wu, Tsinghua University, China
Dongyan Xu, Purdue University, USA
Ming Zhao, Florida International University, USA
**** Steering Committee ****
Henri Bal, Vrije Universiteit, the Netherlands
Andrew A. Chien, University of Chicago and Argonne National Laboratory, USA
Peter Dinda, Northwestern University, USA
Dick Epema, Delft University of Technology, the Netherlands
Ian Foster, University of Chicago and Argonne National Laboratory, USA
Salim Hariri, University of Arizona, USA
Thilo Kielmann, Vrije Universiteit, the Netherlands
Arthur "Barney" Maccabe, Oak Ridge National Laboratory, USA
Manish Parashar, Rutgers University, USA
Matei Ripeanu, University of British Columbia, Canada
Karsten Schwan, Georgia Tech, USA
Doug Thain, University of Notre Dame, USA
Jon Weissman, University of Minnesota (Chair), USA
--
================================================================Ioan Raicu,
Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
================================================================Data-Intensive
Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
================================================================Cel:
1-847-722-0876
Office: 1-312-567-5704
Email: iraicu at cs.iit.edu
Web: http://www.cs.iit.edu/~iraicu/
Web: http://datasys.cs.iit.edu/
=================================================================================================================================
