IEEE IPDPS 2016
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CALL FOR PAPERS - Abstracts due October 9, 2015
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30th IEEE International Parallel & Distributed Processing
Symposium
May 23-27, 2016
Chicago Hyatt Regency
Chicago, Illinois USA
www.ipdps.org
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PROGRAM CHAIR
ÂJeffrey K. Hollingsworth (University of Maryland, USA)
PROGRAM VICE-CHAIRSÂ
ÂALGORITHMS:
ÂÂÂÂÂÂ Umit V. Catalyurek (Ohio State University, USA)
ÂAPPLICATIONS:
ÂÂÂÂÂ Darren Kerbyson (Pacific Northwest National Laboratory,
USA)
ÂARCHITECTURE:
ÂÂÂÂÂÂ Andrew A. Chien (University of Chicago, USA) &
 Hank Hoffman (University of Chicago, USA)
ÂSOFTWARE:
ÂÂÂÂÂÂ Karen Karavanic (Portland State University, USA)
IMPORTANT DATES
âOctober 9, 2015.............Registration of papers with
abstractsârequired.
âOctober 16, 2015...........Submission of registered
papersâhard deadline, no extensions.
âAuthor notification..........December 18, 2015
âCamera-ready due........February 01, 2016Â
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IPDPS 2016 CALL FOR PAPERS
See details at http://www.ipdps.org/ipdps2016/2016_call_for_papers.html
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SCOPE:
ÂAuthors are invited to submit manuscripts that present
original unpublished research in all areas of parallel and
distributed processing, including the development of
experimental or commercial systems. Work focusing on emerging
technologies is especially welcome. Topics of interest
include, but are not limited to:
âParallel and distributed algorithms, focusing on topics such
as: numerical, combinatorial, and data-intensive parallel
algorithms, locality-aware and power-aware parallel
algorithms, streaming algorithms, parallel algorithms in
specific domains such as machine learning and network science,
scalability of algorithms and data structures for parallel and
distributed systems, communication and synchronization
protocols, network algorithms, scheduling, and load balancing.
âApplications of parallel and distributed computing, including
computational and data-enabled science and engineering, big
data applications, parallel crowd sourcing, large-scale social
network analysis, management of big data, cloud and grid
computing, scientific, biological and medical applications,
and mobile computing. Papers focusing on applications using
novel commercial or research architectures, big data
approaches, or discussing scalability toward the exascale
level are encouraged.
âParallel and distributed architectures, including
architectures for instruction-level and thread-level
parallelism; petascale and exascale systems designs; novel big
data architectures; special purpose architectures, including
graphics processors, signal processors, network processors,
media accelerators, and other special purpose processors and
accelerators; impact of technology on architecture; network
and interconnect architectures; parallel I/O and storage
systems; architecture of the memory hierarchy; power-efficient
and green computing architectures; dependable architectures;
and performance modeling and evaluation.
âParallel and distributed software, including parallel and
multicore programming languages and compilers, runtime
systems, operating systems, resource management including
green computing, middleware for grids, clouds, and data
centers, libraries, performance modeling and evaluation,
parallel programming paradigms, and programming environments
and tools. Papers focusing on novel software systems for big
data and exascale systems are encouraged.
NEW OPTION THIS YEAR:
Papers that cross the boundaries of the four
traditional tracks of IPDPS (Algorithms, Applications,
Architecture and Software) are encouraged. During
submission, authors can indicate up to three subject areas
that can come from any track.
BEST PAPERS AWARDS:
The program committee will nominate papers for recognition in
several categories including the four conference topic areas
and will consider other paper attributes that merit
recognition from the conference.
WHAT/WHERE TO SUBMIT:
Submitted manuscripts may not exceed ten (10) single-spaced
double-column pages using 10-point size font on 8.5x11 inch
pages (IEEE conference style), including figures, tables, and
references. To submit papers go to http://www.ipdps.org/ipdps2016/2016_call_for_papers.html
REVIEW OF MANUSCRIPTS:
ÂAll submitted manuscripts will be reviewed. Submissions will
be judged on correctness, originality, technical strength,
significance, quality of presentation, and interest and
relevance to the conference scope. Submitted papers should NOT
have appeared in or be under consideration for another
conference, workshop or journal.
PROGRAM COMMITTEE
See full listing at http://www.ipdps.org/ipdps2016/2016_program_committee.html
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GENERAL CALL FOR PARTICIPATION
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IPDPS 2016 will be held in Chicago, the third largest
metropolis in the USA. It boasts a dual-hub airport system and
46 non-stop global flights daily. Situated along the shoreline
of Lake Michigan, downtown Chicago (aka the Loop), where the
Hyatt Regency is located, is an easy walk or cab ride to the
attractions the city offers, including parks, beaches,
shopping, museums, live entertainment, and the singular
international cuisine of Chicago's diverse ethnic neighborhood
eateries. Check the IPDPS Web pages for updates and
information on workshops, the PhD Forum, and other events as
the full program develops.
GENERAL CHAIRÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂ
Xian-He Sun (Illinois Institute of Technology, USA)
PROGRAM CHAIR
Jeffrey K. Hollingsworth (University of Maryland, USA)
STEERING COMMITTEE CHAIR
Viktor K. Prasanna, University of Southern California, USA
WORKSHOPS CHAIR
Bora UÃar (ENS Lyon, France)
PROCEEDINGS CHAIR
Daniel A. Faraj (Intel, USA)ÂÂÂÂÂÂ
STUDENT PARTICIPATION CHAIRS
âLuc Bougà (ENS Cachan, France)
âTrilce Estrada (University of New Mexico, USA)
INDUSTRY CHAIRS
âKalyana Chadalavada (Intel,
USA)ÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂ
âNarayan Desai (Ericsson, USA)
PUBLICITY CHAIR
Michela Taufer (University of Delaware, USA)ÂÂÂ
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Sponsored by IEEE Computer Society Technical Committee on
Parallel Processing
In cooperation with ACM SIGARCH,
IEEE Computer Society Technical Committee on Computer
Architecture, and
IEEE Computer Society Technical Committee on Distributed
Processing
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