[hpc-announce] CFP: WOLFHPC'17: Seventh International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing

[Krishnamoorthy, Sriram]

                        CALL FOR PAPERS

=================================================================

                 Seventh International Workshop on
       Domain-Specific Languages and High-Level Frameworks
                 for High Performance Computing
                            (WOLFHPC)
               http://hpc.pnl.gov/conf/wolfhpc/2017

                     In conjunction with the
      SC17: The International Conference on High Performance
            Computing, Networking, Storage and Analysis

             November 17th, 2017, Denver, Colorado

=================================================================

WORKSHOP DESCRIPTION
--------------------

Multi-level heterogeneous parallelism and deep memory hierarchies in
current and emerging computer systems make their programming for
high-performance applications very difficult. The task is made more
challenging by the changing landscape of system architecture mandated
by power and micro-architecture considerations. Domain-specific
languages (DSLs) and high-level frameworks (HLFs) provide convenient
abstractions, shielding application developers from much of the
complexity and variability of explicitly programming in standard
programming languages like C/C++/Fortran. Effective design of such
abstractions for the high-performance computing context requires close
interaction between researchers developing such languages and
frameworks and domain experts with a deep understanding of the problem
to be solved.

While a number of other venues exist that address domain-specific
languages and high-level programming abstractions, none of them focus
on the challenges to performance optimization and implementation on
parallel systems. This workshop seeks to bring together developers and
users of DSLs and HLFs to identify challenges and discuss solution
approaches for their effective implementation and use on a variety of
platforms, including massively parallel systems.

We solicit submissions on all aspects relating to domain-specific
languages and high-level frameworks for the HPC context, including,
but not limited to, the design, implementation, evaluation, or use of:

* Application frameworks
* Domain-specific languages and libraries
* High-level data structures
* High-level aspects of programming languages
* Directive-based optimization approaches

SUBMISSION GUIDELINES
---------------------

While previous WOLFHPC workshops have only called for submission of
unpublished work, this year's workshop seeks a broader participation
by soliciting both unpublished as well as previously published
work. This is to encourage members of the community to come together
and discuss current challenges and opportunities to make an impact on
significant HPC applications through advances in domain-specific
languages and frameworks. We solicit submissions on early,
unpublished, or already-published research ideas relating to
experience stories, challenges faced, and overview of prior work. This
edition of the workshop will not have a formal published proceedings,
and all materials will only be archived on the conference web page.

Submissions should be two or more pages in pdf format but less than 10
pages (all inclusive) and follow ACM conference formatting guidelines.

At least one of the authors of each accepted submission is expected to
attend and present at the workshop.

Submissions can be made online at:

https://easychair.org/conferences/?conf=wolfhpc2017


IMPORTANT DATES
---------------

  Submission deadline : 30 Aug 2017
  Author notification : 15 Sep 2017
  Final papers due    : 20 Oct 2017
  WOLFHPC workshop    : 17 Nov 2017

WORKSHOP ORGANIZATION
---------------------

Sriram Krishnamoorthy, Pacific Northwest National Laboratory
J. (Ram) Ramanujam, Louisiana State University
P. (Saday) Sadayappan, The Ohio State University

PROGRAM COMMITTEE
-----------------

Gagan Agrawal, The Ohio State University
Anthony Danalis, University of Tennessee Knoxville
James Dinan, Intel
Anshu Dubey, Argonne National Lab
John Feo, Pacific Northwest National Lab
Franz Franchetti, Carnegie Mellon University
David Ham, Imperial College London
Rishi Khan, Extreme Scale Solutions
Christian Lengauer, University of Passau
Fabio Lupironi, Imperial College London
Wenjing Ma, Institute of Software, Chinese Academy of Sciences
Kamesh Madduri, Penn State University
Pat McCormick, Los Alamos National Lab
Istvan Reguly, Oxford e-Research Centre
Bin Ren, College of William and Mary
Manu Shantharam, SDSC
Xipeng Shen, NC State
Michelle Strout, Arizona State University
Omer Subasi, Pacific Northwest National Lab
Kenjiro Taura, University of Tokyo
Yonghong Yan, Oakland University


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