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==============================
7th International Workshop on Performance Modeling,
Benchmarking and Simulation of
High Performance Computer Systems
(PMBS16)
held as part of SC16, Salt Lake City, UT, November 2016
in association with ACM SIGHPC
http://www.pmbsworkshop.org
==============================
The PMBS16 workshop is concerned with the comparison of
high-performance computing systems through performance modeling,
benchmarking or through the use of tools such as simulators.
We are particularly interested in research which reports the
ability to measure and make trade-offs in software/hardware
co-design to improve sustained application performance. We are
also keen to capture the assessment of future systems, for
example through work that ensures continued application
scalability through peta- and exa-scale systems.
The aim of this workshop is to bring together researchers, from
industry and academia, concerned with the qualitative and
quantitative evaluation and modeling of high-performance
computing systems. Authors are invited to submit novel research
in all areas of performance modeling, benchmarking and
simulation, and we welcome research that brings together current
theory and practice. We recognize that the coverage of the term
'performance' has broadened to include power consumption and
reliability, and that performance modeling is practised through
analytical methods and approaches based on software tools and
simulators.
=== Topics of Interest ===
We encourage submissions in the following areas:
- Performance modeling, analysis, and prediction of applications
and high-performance computing systems
- Novel techniques and tools for performance evaluation and
prediction
- Advanced simulation techniques and tools
- Micro-benchmarking, application benchmarking and tracing
- Performance-driven code optimization and scalability analysis
- Verification and validation of performance models
- Benchmarking and performance analysis of novel hardware
- Performance concerns in software/hardware co-design
- Tuning and auto-tuning of HPC applications and algorithms
- Benchmark suites
- Performance visualisation
- Real-world case studies
- Studies of novel hardware such as Intel Xeon Phi co-processor
technology, NVIDIA Kepler GPUs and AMD Fusion APU
Work which examines similar topics will also be considered.
=== Submission Guidelines ===
Authors are invited to submit full papers with unpublished,
original work of not more than 10 pages of double column text
using single spaced fonts on pages of 8.5 x 11 inches (this limit
includes all figures, content etc but does not include
references). All papers should be formatted using the IEEE style
(see http://www.ieee.org/confe
A separate Late-Breaking Research and Preliminary Techniques
stream is also available for authors to submit 5-page papers
describing initial research or early first-of-a-kind results
(this page limit does not include references but includes all
technical content and figures). These papers will be presented
in a dedicated, interactive session at PMBS16 enabling open
discussion with industry and domain experts.
All accepted papers (subject to post-review revisions) will be
published in the ACM digital and IEEE Xplore libraries by ACM
SIGHPC.
Select authors will be invited to submit extended papers for
consideration in a special issue of Future Generation Computer
Systems.
http://www.journals.elsevier.c
=== Important Dates ===
*** EXTENDED DEADLINE ***
Full Paper Submissions - September 4th 2016 (23:59 AoE)
7th International Workshop on Performance Modeling,
Benchmarking and Simulation of
High Performance Computer Systems
(PMBS16)
held as part of SC16, Salt Lake City, UT, November 2016
in association with ACM SIGHPC
http://www.pmbsworkshop.org
==============================
The PMBS16 workshop is concerned with the comparison of
high-performance computing systems through performance modeling,
benchmarking or through the use of tools such as simulators.
We are particularly interested in research which reports the
ability to measure and make trade-offs in software/hardware
co-design to improve sustained application performance. We are
also keen to capture the assessment of future systems, for
example through work that ensures continued application
scalability through peta- and exa-scale systems.
The aim of this workshop is to bring together researchers, from
industry and academia, concerned with the qualitative and
quantitative evaluation and modeling of high-performance
computing systems. Authors are invited to submit novel research
in all areas of performance modeling, benchmarking and
simulation, and we welcome research that brings together current
theory and practice. We recognize that the coverage of the term
'performance' has broadened to include power consumption and
reliability, and that performance modeling is practised through
analytical methods and approaches based on software tools and
simulators.
=== Topics of Interest ===
We encourage submissions in the following areas:
- Performance modeling, analysis, and prediction of applications
and high-performance computing systems
- Novel techniques and tools for performance evaluation and
prediction
- Advanced simulation techniques and tools
- Micro-benchmarking, application benchmarking and tracing
- Performance-driven code optimization and scalability analysis
- Verification and validation of performance models
- Benchmarking and performance analysis of novel hardware
- Performance concerns in software/hardware co-design
- Tuning and auto-tuning of HPC applications and algorithms
- Benchmark suites
- Performance visualisation
- Real-world case studies
- Studies of novel hardware such as Intel Xeon Phi co-processor
technology, NVIDIA Kepler GPUs and AMD Fusion APU
Work which examines similar topics will also be considered.
=== Submission Guidelines ===
Authors are invited to submit full papers with unpublished,
original work of not more than 10 pages of double column text
using single spaced fonts on pages of 8.5 x 11 inches (this limit
includes all figures, content etc but does not include
references). All papers should be formatted using the IEEE style
(see http://www.ieee.org/confe
A separate Late-Breaking Research and Preliminary Techniques
stream is also available for authors to submit 5-page papers
describing initial research or early first-of-a-kind results
(this page limit does not include references but includes all
technical content and figures). These papers will be presented
in a dedicated, interactive session at PMBS16 enabling open
discussion with industry and domain experts.
All accepted papers (subject to post-review revisions) will be
published in the ACM digital and IEEE Xplore libraries by ACM
SIGHPC.
Papers should be submitted using EasyChair at:
https://www.easychair.org/conf
=== Journal Special Issue ===
https://www.easychair.org/conf
=== Journal Special Issue ===
Select authors will be invited to submit extended papers for
consideration in a special issue of Future Generation Computer
Systems.
http://www.journals.elsevier.c
=== Important Dates ===
*** EXTENDED DEADLINE ***
Full Paper Submissions - September 4th 2016 (23:59 AoE)
*** EXTENDED DEADLINE ***
Full Paper Notifications - September 25th 2016
Camera Ready Papers Due - October 2nd 2016
Late Breaking Paper Submissions - September 25th 2016 (23:59 AoE)
Late Breaking Paper Notifications - October 7th 2016
PMBS16 Workshop - November 13th 2016
Supercomputing Conference Dates - November 13th - 18th 2016
=== More Information ===
For more information consult the PMBS Workshop homepage at:
http://www.pmbsworkshop.org.
Full Paper Notifications - September 25th 2016
Camera Ready Papers Due - October 2nd 2016
Late Breaking Paper Submissions - September 25th 2016 (23:59 AoE)
Late Breaking Paper Notifications - October 7th 2016
PMBS16 Workshop - November 13th 2016
Supercomputing Conference Dates - November 13th - 18th 2016
=== More Information ===
For more information consult the PMBS Workshop homepage at:
http://www.pmbsworkshop.org.
******************************
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If you do not remember your password (which is needed to change these options), you can reset it using the "Unsubscribe or Edit Options" button at the bottom of the page.
(https://lists.mcs.anl.gov/
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