[hpc-announce] ACM HPDC'19 Call for Papers

[Song, Shuaiwen]

The 28th International ACM Symposium on
High-Performance Parallel and Distributed Computing
(HPDC'19)
Phoenix, Arizona, United States on June 24-28, 2019
Sponsored by ACM SIGARCH

Overview
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 28th HPDC will take place in Phoenix, Arizona, United States on June 24-28, 2019 as part of FCRC.
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. Experience reports of operational deployments that provide significantly novel insights for future research on HPDC applications and systems will also receive special consideration.
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, risk assessment, and management
*             Emerging application areas that include cloud/edge computing and IoT

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 ACM Proceedings Style and submitted via the conference web site. Submitted papers must be original work that has not appeared in and is not under consideration for another conference or a journal.

Submissions
Submissions are now open: : https://hpdc19.hotcrp.com

Deadlines
Abstracts due:   January 16, 2019
Papers due:        January 23, 2019
Author notifications:      March 25, 2019
Camera ready:  April, 2019
Conference dates:          June 24 - 28, 2019

General Chair:
Jon Weissman   University of Minnesota, USA

Program Chairs:
Ali R. Butt            Virginia Tech, USA
Evgenia Smirni   College of William and Mary, USA

Local Chair:
Ming Zhao           Arizona State University, USA

Program Committee:
George Amvrosiadis       Carnegie Mellon University, USA
Christos Antonopoulos  University of Thessaly, Greece
Ali Anwar             IBM Research, USA
Michela Becchi  North Carolina State University, USA
Kirk Cameron     Virginia Tech, USA
Franck Cappello                Argonne National Lab, USA
Giuliano Casale Imperial College London, U.K.
Abhishek Chandra           University of Minnesota, USA
Ryan Chard         Argonne National Laboratory, USA
Yue Cheng          George Mason University, USA
Andrew A. Chien              University of Chicago, USA
Peter Dinda        Northwestern University, USA
Dick Epema         Delft University of Technology, The Netherlands
David Eyres         University of Otage, New Zealand
Renato Figueiredo           University of Florida, USA
Liana Fong           IBM, USA
José Fortes         University of Florida, USA
Anshul Gandhi  Stony Brook University, USA
Dimitrios Gizopoulos      University of Athens, Greece
Kartik Gopalan  Binghamton University, USA
Adriana Iamnitchi             University of South Florida, USA
David Irwin         University of Massachusets at Amherst, USA
Adwait Jog          The College of William and Mary, USA
Changhee Jung Virginia Tech, USA
Jack Lange           University of Pittsburgh, USA
Hang Liu               UMASS-Lowell, USA
Jay Lofstead       Sandia National Laboratories, USA
Xiaosong Ma      Qatar Computing Research Institute, Qatar
Arthur Barney Maccabe                Oak Ridge National Laboratory, USA
Carlos Maltzahn                University of California, Santa Cruz, USA
Ningfang Mi       Northeastern University, USA
Kathryn Mohror               Lawrence Livermore National Laboratory, USA
Dimitrios Nikolopoulos  Queen's University Belfast, UK
Karthik Pittabiraman       University of British Columbia, Canada
Judy Qiu               Indiana University, USA
M.Mustafa Rafique         Rochester Institute of Technology, USA
Ioan Raicu           Illinois Institute of Technology, USA
Lavanya Ramakrishnan  Lawrence Berkeley National Laboratory, USA
Bin Ren College of William and Mary, USA
Matei Ripeanu  University of British Columbia, Canada
Vasily Tarasov    IBM Research, USA
Michela Taufer  University of Tennessee
Douglas Thain    University of Notre Dame, USA
Devesh Tiwari    Northeastern University, USA
Ana Lucia Varbanescu    University of Amsterdam, The Netherlands
Sudharshan Vazhkudai  Oak Ridge National Laboratory, USA
Rich Wolski         University of California at Santa Barbara, USA
Ji Xue    Google, USA
Feng Yan              University of Nevada Reno
Li Zhang                IBM Research, USA

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Shuaiwen Leon Song
Senior Staff Scientist and Technical Lead
HPC Group, Advanced Computing, Mathematics, and Data Division,
Pacific Northwest National Lab (PNNL);
Adjunct Scholar, CS department, College of William and Mary
HomePage: https://sites.google.com/site/shuaiwenleonsongresearch/

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You're only given a little spark of madness. If you lose that, you are nothing.
-- Robin Williams
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