10th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids
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), and software complexity increases. Application correctness and execution efficiency, in spite of frequent faults, errors, and failures, is essential to ensure the success of the extreme-scale HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services.
While a fault (e.g., a bug or stuck bit) is the cause of an error, its manifestation as a state change is considered an error (e.g., a bad value or incorrect execution), and the transition to an incorrect service is observed as a failure (e.g., an application abort or system crash). A failure in a computing system is typically observed through an application abort or a full/partial service or system outage. A detectable correctable error is often transparently handled by hardware, such as a single bit flip in memory that is protected with single-error correction double-error detection (SECDED) error correcting code (ECC). A detectable uncorrectable error (DUE) typically results in a failure, such as multiple bit flips in the same addressable word that escape SECDED ECC correction, but not detection, and ultimately cause an application abort. An undetectable error (UE) may result in silent data corruption (SDC), e.g., an incorrect application output. There are many other types of hardware and software faults, errors, and failures in computing systems.
Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, fault detection and prediction, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient solvers and algorithm-based fault tolerance. 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.
Topics
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
- Fault detection and prediction:
- Statistical analyses
- Machine learning
- Anomaly detection
- Data and information collection
- Visualization
- Monitoring and control for resilience:
- Platform and application monitoring
- Response and recovery
- RAS theory and performability
- Application and platform knobs
- Tunable fidelity and quality of service
- End-to-end data integrity:
- Fault tolerant design
- Degraded modes
- Forward migration and verification
- Fault injection
- Soft errors
- Silent data corruption
- Enabling infrastructure for resilience:
- RAS systems
- System software and middleware
- Programming models
- Tools
- Next-generation architectures
- Resilient solvers and algorithm-based fault tolerance:
- Algorithmic detection and correction of hard and soft faults
- Resilient algorithms
- Fault tolerant numerical methods
- Robust iterative algorithms
- Scalability of resilient solvers and algorithm-based fault
tolerance
Important Dates
- Workshop papers due: May 12, 2017
- Workshop author notification: June 27, 2017
- Workshop author registration: July 6, 2017
- Workshop early registration: July 14, 2017
- Workshop paper (for informal workshop proceedings): July 7, 2017
- Workshop date: August 29, 2017
- Workshop camera-ready papers: October 3, 2017
Workshop Chairs
- Stephen L. Scott
Senior Research Scientist - Systems Research Team
Tennessee Tech University and Oak Ridge National Laboratory, USA
scottsl@ornl.gov - Chokchai (Box) Leangsuksun
SWEPCO Endowed Associate Professor of Computer Science
Louisiana Tech University, USA
box@latech.edu
Workshop Program Chairs
- Patrick G. Bridges
University of New Mexico, USA
bridges@cs.unm.edu - Christian Engelmann
Oak Ridge National Laboratory, USA
engelmannc@ornl.gov
Program Committee
- Ferrol Aderholdt, Oak Ridge National Laboratory, USA
- Dorian Arnold, University of New Mexico, USA
- Rizwan Ashraf, Oak Ridge National Laboratory, USA
- Wesley Bland, Intel Corporation, USA
- Hans-Joachim Bungartz, Technical University of Munich, Germany
- Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana-Champaign, USA
- Marc Casas, Barcelona Supercomputer Center, Spain
- Zizhong Chen, University of California at Riverside, USA
- Robert Clay, Sandia National Laboratories, USA
- Miguel Correia, Universidade de Lisboa, Portugal
- Nathan DeBardeleben, Los Alamos National Laboratory, USA
- James Elliott, Sandia National Laboratories, USA
- Kurt Ferreira, Sandia National Laboratories, USA
- Michael Heroux, Sandia National Laboratories, USA
- Saurabh Hukerikar, Oak Ridge National Laboratory, USA
- Dieter Kranzlmueller, Ludwig-Maximilians University of Munich, Germany
- Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA
- Ignacio Laguna, Lawrence Livermore National Laboratory, USA
- Scott Levy, University of New Mexico, USA
- Kathryn Mohror, Lawrence Livermore National Laboratory, USA
- Christine Morin, INRIA Rennes, France
- Dirk Pflueger, University of Stuttgart, Germany
- Nageswara Rao, Oak Ridge National Laboratory, USA
- Alexander Reinefeld, Zuse Institute Berlin, Germany
- Rolf Riesen, Intel Corporation, USA
- Yves Robert, ENS Lyon, France
- Thomas Ropars, Universite Grenoble Alpes, France
- Martin Schulz, Lawrence Livermore National Laboratory, USA
- Keita Teranishi, Sandia National Laboratories, USA
Program
- 14:30 - 16:00 Session 1:
- 14:30 - 15:00 Opening: Resilience Workshop Organizers.
- 15:00 - 15:30 Carlos Pachajoa and Wilfried Gansterer. Study of the Resilience of Conjugate Gradient and Multigrid Methods to Node Failures. (Presentation)
- 15:30 - 16:00 Franck Cappello, Rinku Gupta, Sheng Di, Emil Constantinescu, Thomas Peterka and Stefan M. Wild. Understanding and improving the trust in results of numerical simulations and scientific data analytics. (Presentation)
- 16:00 - 16:30 Coffee Break
- 16:30 - 18:00 Session 2:
- 16:30 - 17:00 Patrick Widener, Kurt Ferreira and Scott Levy. It's not the heat, it's the humidity: Scheduling resilience activity at scale. (Presentation)
- 17:00 - 17:30 Saurabh Hukerikar and Christian Engelmann. Pattern-based Modeling of High-Performance Computing Resilience. (Presentation)
- 17:30 - 18:00 Closing: Resilience Workshop Organizers.