1st Workshop on Visual Performance Analysis (VPA)
Held in conjunction with SC14:
The International Conference on High Performance Computing,
Networking, Storage and Analysis
http://cedmav.org/vpa2014
New Orleans, LA, USA
November 21, 2014
Extended Submission Deadline: August 8, 2014
Over the last decades an incredible amount of resources has been devoted
to building ever
more powerful supercomputers. However, exploiting the full capabilities of
these machines
is becoming exponentially more difficult with each new generation of
hardware. To help
understand and optimize the behavior of massively parallel simulations the
performance
analysis community has created a wide range of tools and APIs to collect
performance data,
such as flop counts, network traffic or cache behavior at the largest
scale. However,
this success has created a new challenge, as the resulting data is far too
large and too
complex to be analyzed in a straightforward manner. Therefore, new
automatic analysis
approaches must be developed to allow application developers to
intuitively understand
the multiple, interdependent effects that their algorithmic choices have
on the final
performance.
This workshop will bring together researchers and practitioners from the
areas of
performance analysis, application optimization, visualization, and data
analysis and
provide a forum to discuss novel ideas on how to improve performance
understanding,
analysis and optimization through novel techniques in scientific and
information
visualization.
Workshop Topics:
- Scalable displays of performance data
- Interactive visualization of performance data
- Data models to enable data analysis and visualization
- Graph representation of unstructured performance data
- Collection and representation of meta data to enable fine grained
attribution
- Message trace visualization
- Memory and network traffic visualization
- Representation of hardware architectures
Paper Submission:
We solicit two types of papers both covering original and previously
unpublished
ideas: 8 page regular papers and 4 page position papers. To be considered,
your
manuscript should be formatted according to the double-column IEEE format
for
Conference Proceedings (IEEEtran LaTeX Class (template) V1.8 packages and
IEEEtran
V1.12 BibTeX (bibliography)). Margins and font sizes should not be
modified. The
templates for "IEEEtran LaTeX Class (template) V1.8 packages and IEEEtran
V1.12
BibTeX (bibliography)" can be found at
http://www.ieee.org/
l
All papers must be submitted through Easychair at:
https://www.easychair.org/
Important Dates
- August 8th: extended submission deadline
- September 15th: notification of acceptance
- October 6th: final paper and copyrights due
Workshop Organizers
- Peer-Timo Bremer, Lawrence Livermore National Laboratory
- Bernd Mohr, Jülich Supercomputing Centre
- Valerio Pascucci, University of Utah
- Martin Schulz, Lawrence Livermore National Laboratory
Contact
- vpa14@easychair.org
Program Committee
- Carlos Scheidegger, AT&T
- Naoya Maruyama, RIKEN AICS
- Felix Wolf, German Research School for Simulation Sciences
- Matthias Mueller, RWTH Aachen University
- Holger Brunst, ZIH / TU Dresden
- Joshua Levine, Clemson University
- Derek Wang, Charlotte Visualization Center, UNCC
- Todd Gamblin, Lawrence Livermore National Laboratory
- Hank Childs, University of Oregon
- Markus Geimer, Jülich Supercomputing Centre
- Judit Gimenez, Barcelona Supercomputing Center / Universitat Politècnica
de Catalunya
- Remco Chang, Tufts University
Held in conjunction with SC14:
The International Conference on High Performance Computing,
Networking, Storage and Analysis
http://cedmav.org/vpa2014
New Orleans, LA, USA
November 21, 2014
Extended Submission Deadline: August 8, 2014
Over the last decades an incredible amount of resources has been devoted
to building ever
more powerful supercomputers. However, exploiting the full capabilities of
these machines
is becoming exponentially more difficult with each new generation of
hardware. To help
understand and optimize the behavior of massively parallel simulations the
performance
analysis community has created a wide range of tools and APIs to collect
performance data,
such as flop counts, network traffic or cache behavior at the largest
scale. However,
this success has created a new challenge, as the resulting data is far too
large and too
complex to be analyzed in a straightforward manner. Therefore, new
automatic analysis
approaches must be developed to allow application developers to
intuitively understand
the multiple, interdependent effects that their algorithmic choices have
on the final
performance.
This workshop will bring together researchers and practitioners from the
areas of
performance analysis, application optimization, visualization, and data
analysis and
provide a forum to discuss novel ideas on how to improve performance
understanding,
analysis and optimization through novel techniques in scientific and
information
visualization.
Workshop Topics:
- Scalable displays of performance data
- Interactive visualization of performance data
- Data models to enable data analysis and visualization
- Graph representation of unstructured performance data
- Collection and representation of meta data to enable fine grained
attribution
- Message trace visualization
- Memory and network traffic visualization
- Representation of hardware architectures
Paper Submission:
We solicit two types of papers both covering original and previously
unpublished
ideas: 8 page regular papers and 4 page position papers. To be considered,
your
manuscript should be formatted according to the double-column IEEE format
for
Conference Proceedings (IEEEtran LaTeX Class (template) V1.8 packages and
IEEEtran
V1.12 BibTeX (bibliography)). Margins and font sizes should not be
modified. The
templates for "IEEEtran LaTeX Class (template) V1.8 packages and IEEEtran
V1.12
BibTeX (bibliography)" can be found at
http://www.ieee.org/
l
All papers must be submitted through Easychair at:
https://www.easychair.org/
Important Dates
- August 8th: extended submission deadline
- September 15th: notification of acceptance
- October 6th: final paper and copyrights due
Workshop Organizers
- Peer-Timo Bremer, Lawrence Livermore National Laboratory
- Bernd Mohr, Jülich Supercomputing Centre
- Valerio Pascucci, University of Utah
- Martin Schulz, Lawrence Livermore National Laboratory
Contact
- vpa14@easychair.org
Program Committee
- Carlos Scheidegger, AT&T
- Naoya Maruyama, RIKEN AICS
- Felix Wolf, German Research School for Simulation Sciences
- Matthias Mueller, RWTH Aachen University
- Holger Brunst, ZIH / TU Dresden
- Joshua Levine, Clemson University
- Derek Wang, Charlotte Visualization Center, UNCC
- Todd Gamblin, Lawrence Livermore National Laboratory
- Hank Childs, University of Oregon
- Markus Geimer, Jülich Supercomputing Centre
- Judit Gimenez, Barcelona Supercomputing Center / Universitat Politècnica
de Catalunya
- Remco Chang, Tufts University
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