[hpc-announce] PPAM 2017: 12th Int. Conference on Parallel Processing and Applied Mathematics

Ewa Deelman deelman at isi.edu
Sun Mar 12 10:18:19 CDT 2017

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PPAM 2017

Lublin, Poland,
September 10-13, 2017


The PPAM 2017 conference, twelve in a series, will cover topics in
parallel and distributed computing, including theory and
applications, as well as applied mathematics. The focus will be on
models, algorithms, and software tools which facilitate efficient
and convenient utilization of modern parallel and distributed
computing architectures, as well as on large-scale applications,
including big data and machine learning applications.

PPAM is a biennial conference started in 1994, with the proceedings
published by Springer in the Lecture Notes in Computer Sciences
series. Next year the PPAM conference will take place in Lublin,
the largest Polish city east of the Vistula River, an academic and
cultural centre, proud of its rich history and picturesque Old Town.

Topics of interest include, but are not limited to:
- Parallel/distributed architectures, enabling technologies
- Cluster and cloud computing
- Multi-core and many-core parallel computing, GPU computing
- Heterogeneous/hybrid computing and accelerators
- Parallel/distributed algorithms: numerical and non-numerical
- Scheduling, mapping, load balancing
- Performance analysis and prediction
- Performance issues on various types of parallel systems
- Autotuning: methods, tools, and applications
- Power and energy aspects of computation
- Parallel/distributed programming
- Tools and environments for parallel/distributed computing
- Security and dependability in parallel/distributed environments
- HPC numerical linear algebra
- HPC methods of solving differential equations
- Evolutionary computing, meta-heuristics and neural networks
- Machine learning and HPC
- HPC interval analysis
- Applied Computing in mechanics, material processing, biology and
   medicine, physics, chemistry, business, environmental modeling, etc.
- Applications of parallel/distributed computing
- Methods and tools for parallel solution of large-scale problems,
   including big data and machine learning applications
- Neuromorphic computing

KEYNOTE SPEAKERS (preliminary list)

Rosa Badia              Barcelona Supercomputing Center, Spain
Franck Capello          Argonne National Laboratory, USA
Jack Dongarra           University of Tennessee and ORNL, USA
Thomas Fahringer        University Innsbruck, Austria
Dominik Goeddeke        University of Stuttgart, Germany
William Gropp           University Illinois Urbana-Champaign, USA
Georg Hager             University Erlangen-Nurnberg, Germany
Alexey Lastovetsky      University College Dublin, Ireland
Satoshi Matsuoka        Tokyo Institute of Technology, Japan
Karlheinz Meier         University of Heidelberg, Germany
Manish Parashar         Rutgers University, USA
Jean-Marc Pierson       University Paul Sabatier, France
Bronis R. de Supinski  Lavrence Livermore National Laboratory, USA
Uwe Schwiegelshohn      TU Dortmund University, Germany
Boleslaw K. Szymanski  Rensselaer Polytechnic Institute, USA
Michela Taufer          University of Delaware, USA
Andrei Tchernykh        CICESE Research Center, Mexico
Jeffrey Vetter          ORNL and Georgia Institute of Technology, USA


- Minisymposium on GPU Computing
- Workshop on Models, Algorithms and Methodologies for Hierarchical
   Parallelism in New HPC Systems
- Workshop on Energy Aspects of Computation
- Workshop on Scheduling for Parallel Computing
- Workshop on Language-Based Parallel Programming Models
- Workshop PGAS Programming
- Special Session on Frameworks, Libraries and Tools for
   Programming Modern Parallel Applications
- Workshop on Performance Evaluation of Parallel Applications
   on Large-Scale Systems
- Minisymposium of HPC Applications in Physical Science
- Minisymposium on High Performance Computing Interval Methods
- Workshop on Complex Collective Systems
- Special Session on Parallel Matrix Factorizations

Original papers are invited for the conference. Authors should submit
full papers (draft version, PDF file, together with abstract) using
the Easchair system. Regular papers are not to exceed 10 pages (LNCS
style). Papers  will be refereed and accepted on the basis of their
scientific merit and relevance to the conference topics. Abstracts
of accepted papers will be available during the conference in form
of a brochure. Only papers presented at PPAM 2017 will be included
into the proceedings, which will be published after the conference
by Springer in the LNCS serie.

Like the previous PPAM editions, the authors of the best papers
selected by the Program Committee will be invited to submit extended
versions of their work to special issues of journals with Impact
Factor such as: International Journal of High Performance Computing
Applications; Concurrency and Computation: Practice and Experience,
and The Journal of Supercomputing.

Roman Wyrzykowski,            e-mail: roman at icis.pcz.pl<mailto:roman at icis.pcz.pl>


Submission of Papers:         April  26, 2015
Notification of Acceptance:   June  5, 2015
Camera-Ready Papers:          Nov.   15, 2015

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