[hpc-announce] 5th Workshop on EXTREME-SCALE PROGRAMMING TOOLS (ESPT) at SC16 (deadline 9/2)

Allen D. Malony malony at cs.uoregon.edu
Mon Jul 18 11:23:12 CDT 2016



		      Held in conjunction with SC16:
	The International Conference on High Performance Computing,
		     Networking, Storage and Analysis

			  Salt Lake City, UT, USA
			     13 November 2016


			In cooperation with SIGHPC

Supported by Virtual Institute - High Productivity Supercomputing (VI-HPS)

		  Submission Deadline: September 2, 2016

The path to exascale computing will challenge HPC application developers in
their quest to achieve the maximum potential that the machines have to
offer.  Factors such as limited power budgets, heterogeneity, hierarchical
memories, shrinking I/O bandwidths, and performance variability will make
it increasingly difficult to create productive applications on future
platforms.  Tools for debugging, performance measurement and analysis, and
tuning will be needed to overcome the architectural, system, and
programming complexities envisioned in these exascale environments.  At the
same time, research and development progress for HPC tools faces equally
difficult challenges from exascale factors.  Increased emphasis on
autotuning, dynamic monitoring and adaptation, heterogeneous analysis, and
so on will require new methodologies, techniques, and engagement with
application teams.  This workshop will serve as a forum for HPC application
developers, system designers, and tools researchers to discuss the
requirements for exascale-ready/exascale-enabled tools and the roadblocks
that need to be addressed.

The workshop is the fifth in a series of SC conference workshops
organized by the Virtual Institute - High Productivity Supercomputing
(VI-HPS), an international initiative of HPC researchers and developers
focused on parallel programming and performance tools for large-scale

Workshop Format and Topics:

The half-day workshop will consist of a keynote address followed by
research paper presentations.  Each paper submission will undergo a peer
review process.  Accepted contributions will be published in the SC
workshop proceedings in cooperation with SIGHPC through the ACM Digital
Library and IEEE Xplore.

The workshop topics of interest include:

* Programming tools (e.g., performance analysis, tuning, debuggers, IDEs)
* Methodologies for performance engineering
* Tool technologies for extreme-scale challenges (e.g., scalability, resilience, power)
* Tool infrastructures and environments
* Application developer experiences with programming and performance tools

Paper Submission:

Papers covering original and previously unpublished research are solicited.
To be considered, a manuscript should be a maximum of 8 pages and formatted
according to the double-column IEEE format for Conference Proceedings
(IEEEtran LaTeX Class (template) V1.8 packages and IEEEtran V1.12 BibTeX
(bibliography)).  Margins and font sizes should not be modified.  The
templates for "IEEEtran LaTeX Class (template) V1.8 packages and IEEEtran
V1.12 BibTeX (bibliography)" can be found at:


All papers must be submitted through Easychair at:


Important Dates:

  2016-09-02: Paper submissions due
  2016-09-23: Author notification
  2016-10-04: Final version of papers due
  2016-11-13: Workshop, 13:30-17:30

Workshop Organizers:

  Allen D. Malony, University of Oregon
  William Jalby, Université de Versailles St-Quentin-en-Yvelines 
  Martin Schulz, Lawrence Livermore National Laboratory, USA
  Felix Wolf, TU Darmstadt, Germany


  Allen D. Malony, University of Oregon
  Phone +1-541-346-4407, Email: malony at cs.uoregon.edu

Program Committee:

Luiz DeRose, Cray Inc., US
Michael Gerndt, Technische Universität München, Germany
Jeffrey K. Hollingsworth, University of Maryland, US
William Jalby, Université de Versailles St-Quentin-en-Yvelines, France
Andreas Knüpfer, Technische Universität Dresden, Germany
David Lecomber, Allinea Software, US
Allen D. Malony, University of Oregon, US
John Mellor-Crummey, Rice University, US
Martin Schulz, Lawrence Livermore National Laboratory, US
Sameer Shende, University of Oregon, US
Felix Wolf, Technische Universität Darmstadt
Brian Wylie, Jülich Supercomputing Centre

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