[hpc-announce] ACM HPDC 2016 Call for Papers
Song, Shuaiwen
Shuaiwen.Song at pnnl.gov
Mon Dec 7 13:39:54 CST 2015
**** CALL FOR PAPERS ****
The 25th International ACM Symposium on
High-Performance Parallel and Distributed Computing
(HPDC-2016)
Kyoto, Japan - May 31 through June 4, 2016
http://www.hpdc.org/2016
Sponsored by ACM SIGARCH
In-Cooperation with ACM SIGHPC
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.
The 25th HPDC will take place in historic Kyoto, Japan from May 31st to
June 4th, 2016. (Workshops on May 31 and June 1, main conference on June 2-4.)
Kyoto was designated a World Heritage Site in 1994 for its many historic
monuments built during the more than 1000 years in which it served as the
Japanese capital and cultural center.
**** IMPORTANT DATES ****
Abstracts (required) due: January 11, 2016
Full Papers due: January 18, 2016 (no extensions)
Author rebuttal period: March 2-4, 2016
Author notifications: March 12, 2016
**** SCOPE AND TOPICS ****
Submissions are welcomed on high-performance parallel and distributed computing
topics including but not limited to: clouds, clusters, grids, big data,
massively multicore, and extreme-scale computing systems. Submissions that focus
on the operating systems, runtime environments, architectures, and networks of
high end computing systems are particularly encouraged. Experience reports
of operational deployments that provide significantly novel insights for
future research on HPDC applications and systems will also receive special
consideration. 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:
- Operating systems, networks, and architectures
- High performance runtime environments
- Massively multicore systems
- Resource virtualization
- Programming languages
- File and storage systems, I/O, and data management
- Resource management and scheduling, including energy-aware techniques
- Performance modeling and analysis
- Fault tolerance, reliability, and availability
- Applications and services that depend upon high-end 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. 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. Papers can be submitted at https://ssl.linklings.net/conferences/hpdc/.
**** HPDC'16 GENERAL CHAIR ****
Hiroshi Nakashima, Kyoto University, Japan
**** HPDC'16 PROGRAM CO-CHAIRS ****
Kenjiro Taura, The University of Tokyo, Japan
Jack Lange, University of Pittsburgh, USA
**** HPDC'16 WORKSHOP CHAIRS ****
Naoya Maruyama, RIKEN Advanced Institute of Computational Science, Japan
Ioan Raicu, Illinois Institute of Technology and Argonne National Laboratory, USA
**** HPDC'16 POSTERS CHAIR ****
Kento Aida, National Institute of Informatics, Japan
**** HPDC'16 Local Arrangements Chair
Takeshi Iwashita, Hokkaido University, Japan
**** HPDC'16 PUBLICITY CHAIRS ****
Masaaki Kondo, The University of Tokyo, Japan
Shuaiwen Leon Song, Pacific Northwest National Laboratory, USA
Torsten Hoefler, Eidgenössische Technische Hochschule Zürich, Switzerland
**** HPDC'16 PUBLICATIONS CHAIR ****
TBD
**** HPDC'16 SPONSORSHIP CHAIR ****
Toshio Endo, Tokyo Institute of Technology, Japan
**** HPDC'16 WEBMASTER ****
Hideyuki Jitsumoto, Tokyo Institute of Technology, Japan
**** HPDC'16 PROGRAM COMMITTEE ****
David Abramson, The University of Queensland, Australia
Gabriel Antoniu, INRIA, France
Henri Bal, Vrije Universiteit, Netherlands
Pavan Balaji, Argonne National Laboratory, USA
Michela Becchi, University of Missouri, USA
John Bent, EMC, USA
Patrick Bridges, University of New Mexico, USA
Ron Brightwell, Sandia National Laboratories, USA
Greg Bronevetsky, Lawrence Livermore National Laboratory, USA
Ali Butt, Virginia Tech, USA
Franck Cappello, Argonne National Laboratory, USA
Brad Chamberlain, Cray Inc., USA
Abhishek Chandra, University of Minnesota, USA
Andrew A. Chien, University of Chicago and Argonne National Laboratory, USA
Peter Dinda, Northwestern University, USA
Dick Epema, Delft University of Technology, Netherlands
Gilles Fedak, INRIA/LRI, France
Wuchun Feng, Virginia Tech, USA
Kurt B. Ferreira, Sandia National Labs
Renato Figueiredo, University of Florida, USA
Ian Foster, Argonne National Laboratory & University of Chicago, USA
Balazs Gerofi, RIKEN Advanced Institute For Computational Science, Japan
Salim Hariri, University of Arizona, USA
Dean Hildebrand, IBM Research, USA
Adriana Iamnitchi, University of South Florida, USA
Larry Kaplan, Cray Inc., USA
Kate Keahey, Argonne National Laboratory, USA
Thilo Kielmann, Vrije Universiteit, Netherlands
Yoonhee Kim, Sookmyung Women's University, Korea
Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA
Zhiling Lan, Illinois Institute of Technology, USA
Wang Lizhe, China Univ. of Geosciences, China
Jay Lofstead, Sandia National Laboratories, USA
Arthur 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
Bogdan Nicolae, IBM Research, Irland
Mark Oskin, University of Washington, USA
Sangmi Pallickara, Colorado State University, USA
Manish Parashar, Rutgers University, USA
Kevin Pedretti, Sandia National Laboratories, USA
Ioan Raicu, Illinois Institute of Technology, USA
Matei Ripeanu, University of British Columbia, Canada
Karsten Schwan, Georgia Tech, USA
Shuaiwen Leon Song, Pacific Northwest National Laboratory, USA
Osamu Tatebe, University of Tsukuba, Japan
Michela Taufer, University of Delaware, USA
Douglas Thain, University of Notre Dame, USA
Mohamed Wahib, RIKEN Advanced Institute for Computational Science, Japan
Jon Weissman, University of Minnesota, USA
Dongyan Xu, Purdue University, USA
Ming Zhao, Florida International University, USA
**** HPDC STEERING COMMITTEE ****
Franck Cappello, Argonne National Lab, USA and INRIA, France
Andrew A. Chien, University of Chicago, USA
Peter Dinda, Northwestern University, USA
Dick Epema, Delft and Eindhoven University of Technology, The Netherlands
Renato Figueiredo, University of Florida, USA
Salim Hariri, University of Arizona, USA
Thilo Kielmann, VU University Amsterdam, The Netherlands
Arthur 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, USA (Chair)
Dongyan Xu, Purdue University, USA
Shuaiwen Leon Song
Staff Research Scientist
High Performance Computing Group,
Advanced Computing, Mathematics, and Data Division,
Pacific Northwest National Lab (PNNL),
Washington, US,
Office:509-372-4189
Email: Shuaiwen.Song at pnnl.gov<mailto:Shuaiwen.Song at pnnl.gov>
HomePage: https://sites.google.com/site/shuaiwensongsresearch/
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
It is never too late to become what you might have been. ^
-- George Elliot ^
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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