[Storage-research-list] CFP: HPDC'18: International ACM Symposium on High-Performance Parallel and Distributed Computing
Ming Zhao
mingzhao at asu.edu
Mon Nov 27 11:56:12 EST 2017
**** CALL FOR PAPERS ****
The 27th International ACM Symposium on
High-Performance Parallel and Distributed Computing
(HPDC-2018)
Phoenix, AZ, United States - June 11-15, 2018
http://www.hpdc.org/2018/
Sponsored by ACM SIGARCH
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 27th HPDC will take place in Tempe, AZ on June
11-15, 2018.
**** IMPORTANT DATES ****
Abstract due: January 17, 2018
Paper due: January 24, 2018
Author Notifications: March 29, 2018
Camera ready: April 12, 2018
Conference dates: June 11 - 15, 2018
**** SCOPE AND TOPICS ****
Submissions are welcomed on high-performance parallel and distributed
computing (HPDC) 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, including heterogeneous systems
· Datacenter technology, resource virtualization
· Programming languages, APIs, and system interoperation approaches
· File and storage systems, I/O, and data management
· Big data stacks and big data ecosystems
· Resource management and scheduling, including energy-aware techniques
· Performance modeling, analysis, and engineering
· Fault tolerance, reliability, and availability
· Operational guarantees, and risk assessment and management
· Traditional and emerging applications and services that
depend upon high- end computing
****
PAPER SUBMISSION GUIDELINES ****
Note: The review process is not double-blinded; the authors can reveal
their identities in the paper (It's also OK to conceal them if they so
wish).
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. Accepted papers will appear in the conference
proceedings, and will be incorporated into the ACM Digital Library.
Submitted papers must be original work that has not appeared in and is
not under consideration for another conference or a journal.
General Chair:
Ming Zhao
Arizona State University, USA
Technical Program Co-Chairs:
Abhishek Chandra
University of Minnesota, USA
Lavanya Ramakrishnan
Lawrence Berkeley National Lab, USA
Workshop Chair:
Douglas Thain University of Notre Dame, USA
Poster/Doctoral Consortium Co-Chairs:
Yong Chen Texas Tech university, USA
Jay Lofstead Sandia National Laboratories, USA
Local Chair:
Fengbo Ren Arizona State University, USA
Travel Grant Chair:
Dong Li University of California, Merced, USA
Publicity Co-Chairs:
Shuaiwen Leon Song PNNL, College of William and Marry, USA
Torsten Hoefler ETH Zürich, Switzerland
Kenjiro Taura The University of Tokyo, Japan
Amanda Randles Duke University, USA
Sponsorship Chair:
Vasily Tarasov IBM Almaden Research Center, USA
Web Chair:
Saman Biookaghazadeh Arizona State University, USA
Program Committee:
Adriana Iamnitchi University of South Florida, USA
Ali Butt Virginia Tech, USA
Ana Lucia Varbanescu University of Amsterdam, The
Netherlands
Andre Luckow BMW IT Research Center, USA
Andrew A. Chien University of Chicago and
Argonne National Laboratory, USA
Arthur Maccabe Oak Ridge National Laboratory, USA
Aydin Buluc Lawrence Berkeley
National Laboratory, USA
Bogdan Nicolae IBM Research, Ireland
Christine Morin INRIA, France
David Abramson The University of
Queensland, Australia
David Eyers University of Otago, New Zealand
David Irwin University of
Massachusets at Amherst, USA
Dean Hildebrand Google, USA
Dick Epema Delft Unviersity of
Technology, The Netherlands
Dilma Da Silva Texas A&M University, USA
Douglas Thain Notre Dame, USA
Evgenia Smirni College of William
and Mary, USA
Franck Cappello Argonne National Laboratory, USA
Gabriel Antoniu INRIA, Rennes, France
Hang Liu University of
Massachusets at Lowell, USA
Henri Bal Vrije University,
The Netherlands
Ian Foster University of Chicago
and Argonne National Lab, USA
Jay Lofstead Sandia National
Laboratories, USA
Jiwu Shu Tsinghua University, China
John (Jack) Lange University of Pittsburgh, USA
Jon Weissman University of Minnesota, USA
Judy Qiu Indiana University, USA
Kartik Gopalan Binghamton University, USA
Kate Keahey Argonne National Laboratory, USA
Kenjiro Taura University of Tokyo, Japan
Liana Fong IBM, USA
Manish Parashar Rutgers University, USA
Matei Ripeanu University of British
Columbia, Canada
Michela Becchi North Carolina State University, USA
Michela Taufer University of Delaware, USA
Narayanan Sundaram Intel, USA
Patrick Bridges University of New Mexico, USA
Peter Dinda Northwestern University, USA
Radu Prodan University of Innsbruck, Austria
Renato Figueiredo University of Florida, USA
Samer Al-Kiswany University of Waterloo, Canada
Sangmi Pallickara Colorado State University, USA
Shantenu Jha Rutgers University, USA
Shuaiwen Leon Song Pacific Northwest National
Laboratory and William & Mary
Sriram Govindan Microsoft Research, USA
Sudharshan Vazhkudai Oak Ridge National Laboratory, USA
Xiaosong Ma Qatar Computing Research
Institute, Qatar
Yue Cheng George Mason University, USA
Zizhong Chen University of
California, Riverside, USA
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