Fwd: (CALL FOR PAPERS) PAW17: The 2nd Annual PGAS Applications Workshop
Damian Rouson
damian@sourceryinstitute.org
Tue Apr 25 20:48:00 GMT 2017
Gfortran developers,
Please forward this Call for Papers to everyone you know who is using gfortran and OpenCoarrays in an application.
Best Regards,
_______________________
Damian Rouson, Ph.D., P.E.
President, Sourcery Institute
www.sourceryinstitute.org(http://www.sourceryinstitute.org)
+1-510-600-2992 (mobile)
On April 25, 2017 at 1:45:59 PM, Damian Rouson (damian@sourceryinstitute.org(mailto:damian@sourceryinstitute.org)) wrote:
> FYI
>
>
> On April 25, 2017 at 8:26:41 AM, Morris, Karla NMN (knmorri@sandia.gov(mailto:knmorri@sandia.gov)) wrote:
>
> > CALL FOR PAPERS
> >
> > PAW17: The 2nd Annual PGAS Applications Workshop
> > http://sourceryinstitute.github.io/PAW/
> >
> > Held in conjunction with SC 17: The International Conference for
> > High Performance Computing, Networking, Storage and Analysis
> > http://sc17.supercomputing.org
> >
> > In cooperation with SIGHPC
> >
> >
> > SUMMARY
> >
> > The race towards Exascale computing is on, and a lot of stress is put
> > on researchers to break the boundaries of productivity and efficiency
> > imposed by traditional programming models.
> > Partitioned Global Address Space (PGAS) languages are an
> > effective alternative, and the most promising path towards
> > sustainable programming environments for exascale machines.
> > Languages such as UPC, Fortran, Chapel, and X10 are now more widely
> > available than ever, thanks to increased support from vendors and
> > open-source communities. PGAS models also take the form of
> > meta-languages and libraries, such as Unified Parallel C++ (UPC++),
> > Co-Array C++, OpenSHMEM, MPI-3 and Global Arrays.
> > These have the benefit of being integrated with existing languages,
> > simplifying the learning curve for existing programmers.
> >
> > Significant improvements in the availability of PGAS compilers and
> > support software have been achieved in the last few years; these
> > open up more opportunities than ever for researchers
> > and developers to test new strategies and port applications to more
> > demanding requirements.
> >
> > Following on the success of PAW16, we invite you to take part
> > in the second PGAS Application Workshop, and to join
> > its vibrant and diverse community of researchers and developers.
> >
> > SCOPE AND AIMS
> >
> > The scope of the PAW workshop is to provide a forum for exhibiting
> > case studies of PGAS programming models in the context of real-world
> > applications as a means of better understanding practical
> > applications of PGAS technologies. We encourage the submission of
> > papers and talks detailing practical PGAS applications, including
> > characterizations of scalability and performance, of expressiveness
> > and programmability, as well as any downsides or areas for
> > improvement in existing PGAS models. In addition to informing other
> > application programmers about the potential that is available through
> > PGAS programming, the workshop is designed to communicate these
> > experiences to compiler vendors, library developers, and system
> > architects in order to achieve broader support for PGAS programming
> > across the community.
> >
> > We also specifically encourage submissions covering big data
> > analytics, deep learning, and other novel and emerging application
> > areas, beyond traditional scientific HPC domains.
> >
> > Topics include, but are not limited to:
> >
> > * Novel application development using the PGAS model.
> > * Real-world examples demonstrating performance, compiler
> > optimization, error checking, and/or reduced software complexity.
> > * Applications from big data analytics, bioinformatics, and other
> > novel areas.
> > * Performance evaluation of applications running under PGAS.
> > * Algorithmic models enabled by PGAS model.
> > * Compiler and runtime environments.
> > * Libraries using/supporting PGAS and applications.
> > * Benefits of hardware abstraction and data
> > locality on algorithm implementation.
> >
> > IMPORTANT DATES:
> > * Submission Deadline: July 31, 2017
> > * Author Notification: September 1, 2017
> > * Camera Ready: October 1, 2017
> > * Workshop Date: November 13, 2017
> >
> > SUBMISSIONS
> >
> > Submissions are solicited in two categories:
> >
> > a) Full-length papers presenting novel research results:
> > Full-length papers will be published in the workshop proceedings in
> > cooperation with SIGHPC. Submitted papers must be original work that
> > has not appeared in, and is not under consideration for, another
> > conference or a journal. Papers shall not exceed eight (8) pages
> > including text, appendices, and figures. References are not included.
> >
> > b) Extended abstracts summarizing published/preliminary results:
> >
> > Extended abstracts will be evaluated separately and will
> > not be included in the published proceedings; they are intended
> > for timely communications of novel work that is going to be
> > formally submitted elsewhere at a later stage, and/or of already
> > published work that is nonetheless deemed appropriate for
> > dissemination in this venue.
> > Extended abstracts shall not exceed four (4) pages.
> > Submissions shall be submitted through EasyChair
> > (https://easychair.org/conferences/?conf=paw17); they must conform to
> > ACM Guidelines (http://www.acm.org/publications/proceedings-template).
> > Accepted full-length papers will be given longer presentation
> > slots at the workshop; extended abstracts will be given shorter time
> > slots.
> >
> > WORKSHOP CHAIR
> > Karla Morris - Sandia National Laboratories
> >
> > ORGANIZING COMMITTEE
> > * Bradford L. Chamberlain - Cray Inc.
> > * Salvatore Filippone - Cranfield University
> > * Costin Iuaca - Lawrence Berkeley National Laboratory
> > * Bill Long - Cray Inc.
> >
> > PROGRAM COMMITTEE CHAIR and CO-CHAIR
> > * Francesco Rizzi - Sandia National Laboratories (Chair)
> > * Bill Long - Cray Inc. (Co-Chair)
> >
> > PROGRAM COMMITTEE
> > * Bradford L. Chamberlain - Cray Inc.
> > * Bert de Jong - Lawrence Berkeley National Laboratory
> > * James Dinan - Intel
> > * Salvatore Filippone - Cranfield University, UK
> > * Jeff Hammond - Intel
> > * Costin Iancu - Lawrence Berkeley National Laboratory
> > * Karla Morris - Sandia National Laboratories
> > * Nicholas Park - U.S. Department of Defense
> > * Anton Shterenlikht - University of Bristol
> > * Min Si - Argonne National Laboratory
> > * Lauren L. Smith - U.S. Department of Defense
> > * Yili Zheng - Google
> >
> > ADVISORY COMMITTEE
> > * Katherine A. Yelick - Lawrence Berkeley National Laboratory
> > * Damian W. I. Rouson - Sourcery Institute
> >
> > In case of questions please email us at: paw17@cranfield.ac.uk
> >
> >
> >
> >
> >
> >
> >
> >
> >
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