[hpc-announce] PMACS Workshop 2019 Call for Papers

Thomas Gruber Thomas.Gruber at fau.de
Wed Apr 24 09:44:11 CDT 2019

PMACS Workshop 2019 Call for Papers

August 26 or 27 (TBD), 2019

held in conjunction with Euro-Par 2019

About this workshop

For a long time, hardware performance monitoring was used on a small scale to measure and analyze data of single application
runs in order to detect performance limitations caused by hardware and/or software. Monitoring the whole cluster system for
observing hardware failures has been the duty of system administrators with emphasis on operating the system and changes in
the system parameters. In recent years, many HPC providers have extended or replaced their monitoring system to additionally
track performance data from hardware monitoring facilities and even from the applications. The analysis of the data provides
deeper insight in resource utilization and the quality of software. In addition, system administrators use performance data to
track the causes of system instabilities to specific user codes. Due to the diversity of HPC centers, many tailored solutions
for collection, storage, evaluation and visualization exist today. The workshop wants to bring together developers and users
of such infrastructure in order to find ways of collaboration and exchange ideas for further developments. The workshop covers
multiple topics of interests for the Euro-Par conference like support environments, performance evaluation, data management
and analytics.

Call for papers

Performance monitoring and analysis are widely used in data center operations. Depending on particular area of operation it
includes tracking activities at hard- and/or software level. HPC centers use system monitoring for ensuring system stability
and avoiding resource contention. In recent years, many centers have enhanced their monitoring infrastructure to gather more
detailed data from all entities in the system including background services and even user applications. The inherent challenges
are diverse: Hardware and software parameters need to be collected with low overhead at all nodes. Gathered metrics need to
be transferred to data storage without causing congestion and inference on the network. The whole or just excerpts of the data
need to be visualized for further understanding. Furthermore, results of interest and management actions might be derived
through data analytics.

Paper contributions for this workshop should address at least one of the following topics:

- Data collection on all entities of a cluster system (compute nodes, management nodes, infrastructure nodes as well as network components)
- Efficient transferring of the gathered metrics to intermediate systems (storage, direct visualization, …)
- Storage of metrics for later use (databases, data management systems, …)
- Visualization of system monitoring metrics
- Derived results and event triggering based on data analytics (machine learning, stream analysis, statistics, event management systems, …)

The page limit is 12 pages, including all references and appendices, and the formatting must follow the LNCS guidelines.
Please note that papers with less than 10 pages will not be published in the workshop proceedings according to ruling of the
Euro-Par workshop organization. At least one author of each accepted paper must present the paper at the workshop
(25m talk and 5m for discussion). Work-in-progress and vision papers are welcome.

There is a blind review process for each submitted paper with at least three reviewers from the programme committee.

Submission guidelines
The submissions will follow the Euro-Par guidelines, in PDF format, and should not exceed 12 pages in the Springer LNCS style,
which can be downloaded from the Springer Web site.

Paper submission is handled electronically (EasyChair).

Important dates
May 10, 2019: Paper submission deadline
June 28, 2019: Author notification
July 22, 2019: Paper due, for informal workshop proceedings
August 26 or 27, 2019: Workshop (full day)
October 7, 2019: Camera-ready paper (including LaTeX sources) deadline

General Co-Chair
Anthony Danalis (Innovative Computing Laboratory, University of Tennessee, USA)

Programme committee
Ann Gentile (Sandia National Laboratories (SNL), Albuquerque, New Mexico, USA)
Michael Klemm (Intel, Germany)
Sameer Shende (Univesity of Oregon, Oregon, USA)
Julian Kunkel (University of Reading, Great Britain)
Heike Jagode (University of Tennessee, Tennessee, USA)
Zhang Yang (Institute of Applied Physics and Computational Mathematics, Beijing, China)
Josef Weidendorfer (Technische Universität München, Leibniz Rechenzentrum der Bayerischen Akademie der Wissenschaften, Garching, Germany)
Robert Dietrich (Technische Universität Dresden, Germany)
Jack Deslippe (National Energy Research Scientific Computing Center, Berkeley, California, USA)
Jonas Hahnfeld (ITC, RWTH Aachen, Germany)
Erich Focht (NEC, Germany)
Axel Auweter (Megware, Germany)
Stephane Eranian (Google LLC, USA)
Dmitry Nikitenko (Lomonosov Moscow State University, Russia)

Thomas Gruber (Thomas/DOT/  Gruber/AT/  fau/DOT/  de)

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