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HPDC 2014 : High Performance Distributed Computing


Conference Series : High Performance Distributed Computing
When Jun 23, 2014 - Jun 27, 2014
Where Vancouver, Canada
Abstract Registration Due Jan 20, 2014
Submission Deadline Jan 27, 2014
Notification Due Apr 7, 2014

Call For Papers


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 ( 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.

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)

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