[hpc-announce] Call for Papers: The 18th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-17)

[Teranishi, Keita]

(apologies for cross-postings)

The 18th IEEE International Workshop on Parallel and Distributed
Scientific and Engineering Computing (PDSEC-17) http://cse.stfx.ca/~pdsec17
will be held on Jun 02, 2017, Florida USA in conjunction with IPDPS 2017.

Deadline:
  PDSEC-17 papers are due Friday 13 Jan 2017

Scope and Interests:
  The technological trends of HPC system evolution indicates increasing
  burden for application developers in management of the unprecedented
  levels of complexity in hardware and the associated performance
  characteristics. Many existing application codes are unlikely to
  perform well on future systems without major modifications or even
  complete rewrites. It will be important to utilize, in unison, many
  characteristics such as multiple levels of parallelism, many
  lightweight cores, complex memory hierarchies, novel I/O technology,
  power capping, systemwide temporal/spatial performance heterogeneity
  and reliability concerns. The HPC community has developed new
  programming models, algorithms, libraries and tools to meet these
  challenges in order to accommodate productive code development and
  effective system use. However, the application community still needs
  to identify the benefit through practical evaluations.

  Thus, the focus of this workshop is on methodologies and experiences
  of scientific and engineering applications and algorithms to achieve
  sustainable code development for better productivity, application
  performance and reliability.  In particular, we will focus on the
  following topics in parallel and distributed scientific and
  engineering applications, but not limited to:

  * Code modernization methodologies and experiences for adapting the
  changes in future computing systems such as porting of legacy
  simulation code and libraries/tools to facilitate code refactoring and
  porting.

  * Application and algorithm development of various parallel and
  distributed programming models/framework such as CAF, UPC, Chapel,
  X10, Charm++, HPX, Uintah, Legion, and/or the interoperation of
  multiple models within single applications (e.g. MPI+X where X is
  OpenMP, OpenCL, CUDA etc). We appreciate the experiences of early
  adopters of new programming models and platforms.

  * Experience in new tools and libraries for effective application
  development, including performance tools, application development
  frameworks, Domain Specific Languages (DSLs), etc.

  * Tools and techniques for improving application reliability and
  resilience.  This includes both performance and correctness issues,
  with the latter arising from adverse operating conditions (e.g. low
  power) or very large system scales.

  * Use cases of enterprise distributed computing technology (such as
  MapReduce, Data Analytics and Machine-learning tools) in scientific and
  engineering applications.

  * Large-scale parallel and distributed algorithms supporting science
  and engineering applications.

  * Methodologies and experiences in developing large-scale applications.

Important Dates:
  Paper submission due . . . . . . . . . . . . . . January  13, 2017
  Notification of Acceptance . . . . . . . . . . . February 24, 2017
  Final camera-ready paper . . . . . . . . . . . . March    15, 2017 (TBC)
  Workshop . . . . . . . . . . . . . . . . . . . . June     02, 2017

General Chairs
  Peter Strazdins, Australian National University, Australia
  Raphael Couturier, University of Franche-Comte, France
Program Chairs
  Keita Teranishi, Sandia National Laboratories, USA
  Joseph Antony, National Computational Infrastructure, Australia
Steering Committee
  Thomas Rauber, University of Bayreuth, Germany
  Gudula Runger, Chemnitz University of Technology, Germany
  Laurence T. Yang (Chair), St. Francis Xavier University, Canada


-----------------------------------------------------------------------------
Keita Teranishi
Principal Member of Technical Staff
Scalable Modeling and Analysis Systems
Sandia National Laboratories
Livermore, CA 94551
+1 (925) 294-3738

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