[hpc-announce] Deadline Extension for PGAS 2015: Extended Deadline to July 13th

khaled hamidouche hamidouc at cse.ohio-state.edu
Fri Jul 3 13:28:37 CDT 2015


*CALL FOR PAPERS*

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

The 9th International Conference on Partitioned

Global Address Space Programming Models (PGAS 2015)

http://pgas.org/conference

September 16-18, 2015

George Washington University

Washington DC, USA

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

Partitioned Global Address Space (PGAS) programming models offer a shared
address space model that simplifies programming while exposing data thread
locality to enhance performance. This facilitates the development of
programming models that can deliver both productivity and performance.
The PGAS conference is the premier forum to present and discuss ideas and
research developments in the area of: PGAS models, languages, compilers,
runtimes, applications and tools, PGAS architectures and hardware features.
Topics of interest include, but are not limited to:




   -  *Applications*. New applications that are uniquely enabled by
   the PGAS model, existing applications and effective application development
   practices for PGAS codes.
   - *Performance*. Analysis of application performance over various
   programming models.
   - *Developments in Programming Models and Languages*. PGAS models,
   language extensions, and hybrid models to address emerging
   architectures, such as multicore, hybrid, heterogeneous, SIMD and
   reconfigurable architectures.
   - *Tools, Compilers, and Implementations.* Integrated Development
   Environments, performance analysis tools, and debuggers. Compiler
   optimizations for PGAS languages, low level libraries, memory consistency
   models. Hardware support for PGAS languages, performance studies and
   insights, productivity studies, and language interoperability.
   - *Architectures.* System Architectures, Networks, and Memory
   Architectures designed to enhance and enable PGAS programming models.

The PGAS Programming Models Conference is dedicated to the presentation and
discussion of research work in this field. Papers should report on original
research, and should include enough background material to make them
accessible to the entire PGAS research community. Papers describing
experiences should indicate how they illustrate general
principles; papers about parallel programming foundations should indicate
how they relate to practice.



*Submissions*

We are using EasyChair to manage submissions. The link to
submit papers will be added to the conference home page in the near future.


*Important Dates*


   - Submission due: July 6th (Extended to July 13)
   - Authors Notification: August 10th
   -  Camera-ready papers due: August 17th



*Conference Chairs*


   - Tarek El-Ghazawi, George Washington University, General Chair
   - Dhabaleswar K. Panda, The Ohio State University, Program Chair



*Steering Committee*


   - Bill Carlson, Institute for Defense Analyses
   - Tarek El-Ghazawi,  The George Washington University
   - Lauren Smith, U.S. Government
   - Kathy Yelick, University of California at Berkeley and LBNL

*Program Committee*


   - Gheorge Almasi, IBM TJ Watson
   - Bill Carlson, Institute of Defense Analysis
   - Brad Chamberlain, Cray
   - Tarek El-Ghazawi, The George Washington University
   - Salvatore Filippone, Università di Roma "Tor Vergata", Italy
   - Michael Garland, NVIDIA
   -  Khaled Hamidouche, The Ohio State University
   - Jeff Hammond, Intel Labs
   -  Paul Hargove, Lawrence Berkeley National Laboratory
   -  Khaled Ibrahim, Lawrence Berkeley National Laboratory
   - Abdullah Kayi, Intel
   - Allen Malony, University of Oregon
   - Steve Poole, United States Department of Defense
   - Mitsuhisa Sato, University of Tsukuba
   - Tyler A Simon, Univ. of Maryland
   - Lauren Smith, U. S. Government
   - Sayantan Sur, Intel
   - Guangming Tan, ICT, Chinese Academy of Sciences, China
   - Abhinav Vishnu, Pacific Northwest National Laboratory
   - Michèle Weiland, EPCC, The University of Edinburgh, UK
   - Yili Zheng, Lawrence Berkeley National Laboratory;

-- 
 K.H
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