[hpc-announce] CFP: PDSEC-16 workshop (with IPDPS-16)

Peter Strazdins Peter.Strazdins at cs.anu.edu.au
Wed Oct 14 16:38:27 CDT 2015

(apologies for cross-postings)

DEADLINE: PDSEC-16: papers due Jan 08
  The 17th IEEE International Workshop on Parallel and Distributed Scientific
  and Engineering Computing, May 27, 2016, Chicago USA
  to be held in conjunction with IPDPS 2016. http://cse.stfx.ca/~pdsec16

Scope and Interests:
  The technological trends of HPC systems imposes more burdens to
  application developers to manage unprecedented complexity of the
  systems and their performance characteristics. The existing
  application code may not perform well on these systems without large
  modifications. A complete rewrite may be required to utilize
  multiple levels of parallelism, novel I/O technology, power capping
  and system-wide temporal/spatial performance heterogeneity. The HPC
  community has developed new programming models, algorithms,
  libraries and tools to meet these new challenges to accommodate
  productive code development and effective system use. However, the
  application community still needs to identify the benefit through
  practical evaluations. This year, we will shift the focus of PDSEC
  to methodologies and experiences of scientific and engineering
  applications and algorithms to identify sustainable code development
  for better productivity and application performance.

  In particular we will focus on the following topics in parallel and
  distributed scientific and engineering applications, but not limited
  * 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 porting and code
  * Application and algorithm development of various parallel and
    distributed programming models/framework such as CAF, UPC, Chapel,
    X10, Charm++, HPX, Uintah, Legion, etc.  We appreciate the
    experiences of early adaptors of new programming models and
  * Experience in new tools and libraries for effective application
    development, including performance tools, application development
    frameworks, Domain Specific Languages (DSL), etc.
  * Use cases of enterprise distributed computing technology (such as
    MapReduce, Data Analytics and Machine-learning tools) in scientific
    and engineering applications
  * Tools and techniques to support spatial/temporal performance
    heterogeneity and resiliency for emerging extreme-scale systems.
  * 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 08, 2016
  Notification of Acceptance . . . . . . . . . . . February 17, 2016
  Final camera-ready paper . . . . . . . . . . . . TBA

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

Regards, Peter

	Peter Strazdins, PhD
	Research School of Computer Science
	ANU College of Engineering and Computer Science
	CSIT Building 108, North Rd
	The Australian National University, Canberra ACT 2601 AUSTRALIA
	T: +61 2 6125 5140  F: +61 2 6125 0010
	W: http://cs.anu.edu.au/~Peter.Strazdins
	E: Peter.Strazdins at cs.anu.edu.au

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