PROPER: Productivity and Performance

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2014 or later   |   Invite the Organizers Email

 
 

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Event When Where Deadline
PROPER 2013 6th Workshop on Productivity and Performance
Aug 26, 2013 - Aug 27, 2013 Aachen, Germany Jun 10, 2013
PROPER 2010 3rd Workshop on Productivity and Performance
Aug 15, 2010 - Sep 15, 2010 Ischia/Naples/Italy Aug 20, 2010 (May 30, 2010)
 
 

Present CFP : 2013

=============================================================================
Call for Papers

6th Workshop on Productivity and Performance
held in conjunction with Euro-Par 2013, Aachen, Germany
August 26 or 27, 2013

http://www.vi-hps.org/events/proper/2013.html

Submission Deadline extended to June 10th 2013
=============================================================================

Driven by current trends in microprocessor design, the number of
processor cores and hardware threads available on modern supercomputers
grows rapidly from generation to generation while the amount of memory
per core will be decreasing. To keep pace, applications need to harness
much higher degrees of parallelism while ensuring efficient use of the
underlying computing resources, which can be highly concurrent many-core
systems or heterogeneous accelerator architectures (or a combination
of both). Additionally, applications must adhere to additional constraints,
in particular with respect to power consumption (both peak and average
power) and resilience.

Writing codes that run correctly and efficiently on such complex systems
is extraordinarily challenging. At the same time, applications themselves
are becoming more complex as well, which can be seen in emerging scale-
bridging applications, the integration of Uncertainty Quantification (UQ),
or advances in algorithms. Combined, these trends place higher and higher
demands on the application development process and thus require adequate
tool support for debugging and performance analysis. The PROPER workshop
will serve as a forum to present novel work on scalable methods and tools
for high-performance computing. The workshop covers parallel program
development and analysis, debugging, correctness checking, and performance
measurement and evaluation. Further topics include the integration of tools
with compilers and the overall development environment, as well as success
stories reporting application performance, scalability, reliability, power
and energy optimization, or productivity improvements that have been
achieved using tools.

The workshop is supported by the Virtual Institute - High Productivity
Supercomputing (VI-HPS), an initiative to promote the development and
integration of HPC programming tools.


Workshop Topics

- Tools and tool approaches for parallel program development and analysis
- Infrastructure for building parallel program development
and analysis tools
- Correctness checking and program verification
- Performance and power measurements and evaluation
- Success stories about optimization or parallel scalability
achieved using tools


Important Dates

Note: the deadlines are synchronized across all EuroPar workshops
- May 31st: submission deadline for full papers
- July 8th: notification of acceptance
- July 31st: camera ready papers due
- October 3rd: final paper versions due for Springer proceedings


Program Committee:

- Martin Schulz, Lawrence Livermore National Laboratory (chair)
- Denis Barthou, INRIA
- David Böhme, German Research School for Simulation Sciences
- Karl Fürlinger, LMU München
- Michael Gerndt, TU München
- Kevin Huck, University of Oregon
- Koji Inoue, Kyushu University
- Andreas Knüpfer, TU Dresden
- Bettina Krammer, Université de Versailles St-Quentin-en-Yvelines
- Ignacio Laguna, Lawrence Livermore National Laboratory
- John Mellor-Crummey, Rice University
- Matthias Müller, RWTH Aachen
- Shirley Moore, University of Texas at El Paso
- Nathan Tallent, Pacific Northwest National Laboratory
- Jan Treibig, RRZE, Friedrich-Alexander-Universität Erlangen-Nürnberg
- Anh Vo, Microsoft
- Brian Wylie, Jülich Supercomputing Center


Contact

Martin Schulz
Lawrence Livermore National Laboratory (LLNL)
Center for Applied Scientific Computing (CASC)
Email schulzm@llnl.gov

 

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