[hpc-announce] CFP: The 28th Int. ACM Symp. on High-Performance Parallel and Distributed Computing (HPDC'19) 2019
Ioan Raicu
iraicu at cs.iit.edu
Tue Jan 8 15:08:53 CST 2019
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
http://www.hpdc.org/2019/
http://www.hpdc.org/2019/papers/call-for-papers/hpdc2019-flyer.pdf
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OVERVIEW
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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
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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
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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
(http://www.acm.org/publications/article-templates/proceedings-template.html)
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 are now open here (https://hpdc19.hotcrp.com/).
DEADLINES
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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
ORGANIZING COMMITTEE
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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
—
Ioan Raicu, Ph.D.
Associate Professor in CS at Illinois Institute of Technology
Guest Research Faculty in MCS at Argonne National Laboratory
http://www.cs.iit.edu/~iraicu/
http://datasys.cs.iit.edu/
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