[hpc-announce] CfP: Workshop on Performance Modeling: Methods and Applications (PMMA16) at ISC High Performance 2016

[Georg Hager]

Please accept our apologies if you got multiple copies of this CFP.

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Call for papers

2nd International Workshop on Performance Modeling:
Methods and Applications (PMMA16)

at ISC High Performance 2016, Frankfurt, Germany, June 23, 2016.

http://blogs.fau.de/hager/bofs/isc16-workshop

Submission deadline: March 14, 2016

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Workshop Scope

Understanding the performance characteristics of computer programs has
been the subject of intense research over several decades. The growing
heterogeneity, parallelism, and general complexity of computer
architectures have made this venture more and more
challenging. Numerous approaches provide insights into different
aspects of performance; they range from resource-based analytical
modeling of single loops to complex statistical models or machine
learning concepts that deal with whole groups of full applications in
production environments. In recent years, the energy consumption
aspects of computing have received attention due to rising
infrastructure costs and operational boundary conditions, adding even
more complexity to the model-building process.

This workshop wants to bring together experts in performance modeling
and related fields, such as modeling tools, model-guided code
optimization, systems characterization, and future architectures, to
present their latest research. We explicitly want to address all
layers of hardware from the core up to the exascale level, and all
layers of software from the OS to large-scale applications.  Topics of
Interest

Suitable submissions should come from the following or related areas:

+ Analytic (first-principles) performance, energy, and scalability
  modeling of algorithmic building blocks and/or applications
+ Microbenchmarking for exploring hardware architectures and
  performance-related software properties
+ Statistical methods and curve-fitting for analyzing and predicting
  performance behavior
+ Machine learning approaches for (semi-)automated generation of
  performance insight
+ Model-guided code/algorithm optimization for real-world applications
  on the core, the node, or the highly parallel level
+ Hardware design space exploration for performance and energy aspects
  of computation
+ Hardware infrastructure for supporting and validating performance and
  power modeling
+ Approaches for evaluating energy efficiency across architectures in
  a well-defined way
+ Model-based evaluation of performance portability
+ Tool development, including visualization, for supporting all of
  the above

Submissions dealing with algorithms and architectures outside the
scientific computing community are strongly encouraged.

Submission Guidelines

Authors are invited to submit full papers with unpublished, original
work of no more than 12 pages of single-column text using the Springer
LNCS style. All accepted papers (subject to post-review revisions)
will be published in a separate ISC16 Workshop Proceedings volume by
Springer (approval pending).

Authors of selected papers will be invited to submit extended versions
of their manuscripts to a journal special issue.

Submissions must be done via EasyChair at:
https://www.easychair.org/conferences/?conf=pmma16

Important Dates

Paper submission deadline:      Monday, March 14, 2016
Author notification:            Friday, April 22, 2016
Camera-ready submission:        Thursday, May 12, 2016
Workshop day:                   Thursday, June 23, 2016


Workshop Committee (preliminary)

Georg Hager, RRZE (organizer)
Gerhard Wellein, FAU Erlangen-Nuremberg (organizer)
Kevin Barker, PNNL
Jeffrey Vetter, ORNL
Laura Carrington, SDSC
William Jalby, UVSQ
Judit Gimenez, BSC
Sven Apel, University of Passau
Kengo Nakajima, University of Tokyo
Felix Wolf, University of Darmstadt
Trevor Carlson, University of Uppsala
Harald Köstler, FAU Erlangen-Nuremberg