-------- Forwarded Message --------
We apologize if you receive multiple copies of this call for
papers.
--------------------------------------------------------------------------------
13th Workshop on Resiliency in High Performance Computing
(Resilience)
in Clusters, Clouds, and Grids
<https://www.csm.ornl.gov/srt/conferences/Resilience/2020>
in conjunction with
the 26th International European Conference on Parallel and
Distributed
Computing (Euro-Par), Warsaw, Poland
August 24 - 28, 2020
<http://2020.euro-par.org>
2020 Workshop Format:
Due to the exceptional situation of COVID-19, this year Euro-Par
and its workshops will be organized as an all-virtual event. This
includes the main conference and workshops. The accepted workshop
papers must be presented by one of the authors in order to be
included in the proceedings. There will be a single minimal
registration fee for each accepted paper in order to cover
expenses associated with organization and proceedings publication.
Only one author per paper needs to register (150 euros). Lastly,
the preferred presentation format for the workshop will be via a
streaming presentation, with slides and pre-recorded video
presentations used in exceptional situations.
Overview:
Resilience is a critical challenge as high performance computing
(HPC) systems continue to increase component counts, individual
component reliability decreases (such as due to shrinking process
technology and near-threshold voltage (NTV) operation), hardware
complexity increases (such as due to heterogeneous computing) and
software complexity increases (such as due to complex data- and
workflows, real-time requirements and integration of artificial
intelligence (AI) technologies with traditional applications).
Correctness and execution efficiency, in spite of faults, errors,
and failures, is essential to ensure the success of the HPC
systems, cluster computing environments, Grid computing
infrastructures, and Cloud computing services. The impact of
faults, errors, and failures in such HPC systems can range from
financial losses due to system downtime (sometimes several
tens-of-thousands of Dollars per lost system-hour), to financial
losses due to unnecessary overprovision (acquisition and operating
costs), to financial losses and legal liabilities due to erroneous
or delayed output.
The emergence of AI technology opens up new possibilities, but
also new problems. Using AI technology for operational
intelligence that enables resilience in HPC systems and centers is
a complex control problem, while designing resilient AI technology
for HPC applications is a difficult algorithmic problem.
Resilience for HPC systems encompasses a wide spectrum of
fundamental and applied research and development, including
theoretical foundations, error/failure and anomaly detection,
monitoring and control, end-to-end data integrity, enabling
infrastructure, and resilient algorithms.
This workshop brings together experts in the community to further
research and development in HPC resilience and to facilitate
exchanges across the computational paradigms of extreme-scale HPC,
cluster computing, Grid computing, and Cloud computing.
Submission Guidelines:
Authors are invited to submit papers electronically in English in
PDF format. Submitted manuscripts should be structured as
technical papers and BETWEEN 10 AND 12 PAGES, including figures,
tables and references, using Springer's Lecture Notes in Computer
Science (LNCS) format at
<http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>.
Papers with less than 10 or more than 12 pages will not be
accepted due to publisher guidelines. Submissions should include
abstract, key words and the e-mail address of the corresponding
author. Papers not conforming to these guidelines may be returned
without review. All manuscripts will be reviewed and will be
judged on correctness, originality, technical strength,
significance, quality of presentation, and interest and relevance
to the conference attendees. Submitted papers must represent
original unpublished research that is not currently under review
for any other conference or journal. Papers not following these
guidelines will be rejected
without review and further action may be taken, including (but not
limited to) notifications sent to the heads of the institutions of
the authors and sponsors of the conference. Submissions received
after the due date or not appropriately structured may also not be
considered. The proceedings will be published in Springer's LNCS
as post-conference proceedings. At least one author of an accepted
paper must register for and attend the workshop for inclusion in
the proceedings. Authors may contact the workshop program chairs
for more information.
Important websites:
- Resilience 2020 Website:
<https://www.csm.ornl.gov/srt/conferences/Resilience/2020>
- Resilience 2020 Submissions:
<https://easychair.org/conferences/?conf=europar2020workshop>
- Euro-Par 2020 website:
<http://2020.euro-par.org>
Topics of interest include, but are not limited to:
- Theoretical foundations for resilience:
- Metrics and measurement
- Statistics and optimization
- Simulation and emulation
- Formal methods
- Efficiency modeling and uncertainty quantification
- Experience reports
- Error/failure/anomaly detection and reliability/dependability
modeling:
- Statistical analyses
- Machine learning and artificial intelligence
- Digital twins
- Data collection and aggregation
- Information visualization
- Monitoring and control for resilience:
- Center, system and application monitoring and control
- Reliability, availability, serviceability and performability
- Tunable fidelity and quality of service
- Automated response and recovery
- Operational intelligence to enable resilience
- End-to-end integrity:
- Fault tolerant design of centers, systems and applications
- Forward migration and verification
- Degraded operation
- Error propagation, failure cascades, and error/failure
containment
- Testing and evaluation, including fault/error/failure injection
- Enabling infrastructure for resilience:
- Reliability, availability, serviceability systems
- System software and middleware
- Resilience extensions for programming models
- Tools and frameworks
- Support for resilience in heterogeneous architectures
- Resilient algorithms:
- Algorithmic detection and correction
- Resilient solvers and algorithm-based fault tolerance
- Fault tolerant numerical methods
- Robust iterative algorithms
- Resilient artificial intelligence
Important Dates:
- Workshop papers due: June 12, 2020 (extended)
- Workshop author notification: July 21, 2020
- Workshop author registration: TBA
- Workshop paper (for informal workshop proceedings): July 21,
2020
- Workshop date: August 24 or 25, 2020
- Workshop camera-ready papers: September 11, 2020 (after the
conference)
General Co-Chairs:
- Stephen L. Scott
Tennessee Tech University, USA
scottsl@ornl.gov
- Christian Engelmann
Oak Ridge National Laboratory , USA
engelmannc@ornl.gov
Program Co-Chairs:
- Ferrol Aderholdt
Middle Tennessee State University, USA
ferrol.aderholdt@mtsu.edu
- Thomas Naughton
Oak Ridge National Laboratory , USA
naughtont@ornl.gov
Workshop Chair Emeritus:
- Chokchai (Box) Leangsuksun
Louisiana Tech University, USA
box@latech.edu
Program Committee:
- Wesley Bland, Intel Corporation, USA
- Hans-Joachim Bungartz, Technical University of Munich, Germany
- Marc Casas, Barcelona Supercomputer Center, Spain
- Zizhong Chen, University of California at Riverside, USA
- Robert Clay, Sandia National Laboratories, USA
- Nathan DeBardeleben, Los Alamos National Laboratory, USA
- James Elliott, Sandia National Laboratories, USA
- Kurt Ferreira, Sandia National Laboratories, USA
- Saurabh Hukerikar, NVIDIA, USA
- Ignacio Laguna, Lawrence Livermore National Laboratory, USA
- Scott Levy, Sandia National Laboratories, USA
- Rolf Riesen, Intel Corporation, USA
- Yves Robert, ENS Lyon, France
- Thomas Ropars, Universite Grenoble Alpes, France
- Martin Schulz, Technical University of Munich, Germany
- Keita Teranishi, Sandia National Laboratories, USA
_________________________________________________________________________
Thomas Naughton
naughtont@ornl.gov
Research Associate (865) 576-4184