[hpc-announce] Call for Papers: Workshop on Data Analytics and Numerical Simulation with Partitioned Global Address Space Models (DANS-PGAS)

[Jeff Hammond]

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

Call for Papers



Workshop on Data Analytics and Numerical Simulation

with Partitioned Global Address Space Models (DANS-PGAS)



13 June 2017, Chicago, Illinois, USA



to be held in conjunction with



International Conference on Supercomputing

13-16 June 2017, Chicago, Illinois, USA

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Partitioned Global Address Space (PGAS) programming models have entered
mainstream high-performance computing (HPC) in the form of open standards
(MPI-3, OpenSHMEM and Fortran 2008) and are used across a wide range of
application domains from quantum chemistry to graph analytics.  This
workshop focuses on the application and implementation of programming
models based upon the PGAS concept targeting all application domains and
implementation approaches.



Topics of interest include, but are not limited to:

- Applications of PGAS models in data analytics and numerical simulation.

- Extensions of existing PGAS models to support threads and accelerators as
well as non-SPMD PGAS models.

- Formal and empirical analysis of application and implementation
 performance.

- Development of PGAS programming environments, including performance
tools, debuggers
and reused libraries.

- Software and hardware implementations of PGAS, both for traditional HPC
environments and new ones (e.g. cloud computing).



# Important Dates



Papers due:        7 May, 2017

Notification:     17 May, 2017

Event:            13 June 2017



# Websites



Submissions: https://easychair.org/conferences/?conf=danspgas2017

Information: https://press3.mcs.anl.gov/ics2017/dans-pgas/



# Submission Guidelines



ACM sigconf format (same as ICS), with a limit of 10 pages (including
references).  Additional details will be available from the website.



# Organizers



Jeff Hammond, Intel (general co-chair)

Sameer Shende, University of Oregon (general co-chair)

Siddhartha Jana, Intel (proceedings chair)



# Program Committee



Lydia Duncan, Cray

Tarek El-Ghazawi, George Washington University

Fernanda Foertter, Oak Ridge National Laboratory

Kathryn Mohror, Lawrence Livermore National Laboratory

Stephen Poole, Open Source Software Solutions

Sreeram Potluri, NVIDIA

Wasi Rahman, Intel

Damian Rouson, Sourcery Institute

Andreas Schäfer, Google

Pavel Shamis, ARM

Sameer Shende, University of Oregon

Xin Zhao, Mellanox
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