[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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