[hpc-announce] CFP: The 23nd International ACM Symposium on, High-Performance Parallel and Distributed Computing (HPDC) 2014 -- in Vancouver Canada.

Ioan Raicu iraicu at cs.iit.edu
Wed Sep 11 23:35:56 CDT 2013


The 23nd International ACM Symposium on
High-Performance Parallel and Distributed Computing

  Vancouver, Canada - June 23-27, 2014


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 application of parallel and distributed systems for 
high-end computing.

In 2014, the 23nd HPDC and affiliated workshops will take place in the 
beautiful city of Vancouver, Canada during June 23-27, 2014.

Abstracts Due:            January 20, 2014
Papers Due:                 January 27, 2014 (no extensions)
Author Rebuttal:         March 14-18, 2014
Author Notifications:  March 28, 2014

Submissions are welcomed on high-performance parallel and distributed 
computing topics including but not limited to: clouds, clusters, grids, 
Big Data, 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:
o    Systems, networks, and architectures for high-end computing
o    Massively multicore systems
o    Resource virtualization
o    Programming languages and environments
o    I/O, storage systems, and data management
o    Resource management and scheduling, including energy-aware techniques
o    Performance modeling and analysis
o    Fault tolerance, reliability, and availability
o    Data-intensive computing
o    Applications of parallel and distributed computing

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 
(http://www.acm.org/sigs/publications/proceedings-templates) 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 
(http://www.acm.org/publications/policies/sim_submissions) for more details.

Beth Plale, Indiana University
Matei Ripeanu, University of British Columbia

Franck Cappello, Argonne National Lab and INRIA
Dongyan Xu, Purdue University

Ioan Raicu, Illinois Institute of Technology, USA

To be announced on the conference web site.

Henri Bal, Vrije Universiteit
Andrew A. Chien, University of Chicago
Peter Dinda, Northwestern University
Dick Epema, Delft University of Technology
Renato Figueiredo, University of Florida
Ian Foster, Univ. of Chicago and Argonne National Laboratory
Salim Hariri, University of Arizona
Thilo Kielmann, Vrije Universiteit Amsterdam
Arthur "Barney" Maccabe, Oak Ridge National Laboratory
Manish Parashar, Rutgers University
Matei Ripeanu, University of British Columbia
Karsten Schwan, Georgia Tech
Doug Thain, University of Notre Dame
Jon Weissman, University of Minnesota (Chair)

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
Editor: IEEE TCC, Springer JoCCASA
Chair:  IEEE/ACM MTAGS, ACM ScienceCloud, IEEE/ACM DataCloud
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/
LinkedIn: http://www.linkedin.com/in/ioanraicu
Google:   http://scholar.google.com/citations?user=jE73HYAAAAAJ

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