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14th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids https://www.csm.ornl.gov/srt/conferences/Resilience/2021
in conjunction with
the 27th International European Conference on Parallel and Distributed Computing (Euro-Par), Lisbon, Portugal August 30 - September 3, 2021 http://2021.euro-par.org
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 2021 Website: https://www.csm.ornl.gov/srt/conferences/Resilience/2021 - Resilience 2021 Submissions: TBD - Euro-Par 2021 website: http://2021.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: May 7, 2021 (23:59 AoE) - Workshop author notification: July 16, 2021 - Workshop author registration: TBD - Workshop date: August 30 or 31, 2021 - Workshop camera-ready papers: TBD
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
_________________________________________________________________________ Thomas Naughton naughtont@ornl.gov Research Associate (865) 576-4184