DEADLINE: PDSEC-16: papers due January 29, 2016 (Extended)

  The 17th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-16) 
  May 27, 2016, Chicago USA, to be held in conjunction with IPDPS 2016. 
  http://cse.stfx.ca/~pdsec16/
    
Important Dates:
  Paper submission due . . . . . . . . . . . . . . January 29, 2016 (Extended)
  Notification of Acceptance . . . . . . . . . . . February 17, 2016
  Final camera-ready paper . . . . . . . . . . . . Feburary 28, 2016
  
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 and system-wide temporal/spatial performance heterogeneity. 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. This year, we will shift the focus of PDSEC to methodologies and experiences of scientific and engineering applications and algorithms to achieve 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 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 model 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.
  * 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.
  
Paper Submission: https://edas.info/newPaper.php?c=21679  

Organizing Committee  
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