[hpc-announce] 2nd Call for Papers: Resilience at Euro-Par 2011

[Gentile, Ann]

     4th Workshop on Resiliency in High Performance Computing (Resilience)
                       in Clusters, Clouds, and Grids
                          in conjunction with the
           17th International European Conference on Parallel and
                   Distributed Computing (Euro-Par 2011)
              Bordeaux France, August 29 - September 2nd, 2011

Clusters, Clouds, and Grids are three different computational paradigms with the intent or potential to support High Performance Computing (HPC). Currently, they consist of hardware, management, and usage models particular to different computational regimes, e.g., high performance cluster systems designed to support tightly coupled scientific simulation codes typically utilize high-speed interconnects and commercial cloud systems designed to support software as a service (SAS) do not. However, in order to support HPC, all must at least utilize large numbers of resources and hence effective HPC in any of these paradigms must address the issue of resiliency at large-scale.

Recent trends in HPC systems have clearly indicated that future increases in performance, in excess of those resulting from improvements in single- processor performance, will be achieved through corresponding increases in system scale, i.e., using a significantly larger component count. As the raw computational performance of these HPC systems increases from today's tera- and peta-scale to next-generation multi peta-scale capability and beyond, their number of computational, networking, and storage components will grow from the ten-to-one-hundred thousand compute nodes of today's systems to several hundreds of thousands of compute nodes and more in the foreseeable future. This substantial growth in system scale, and the resulting component count, poses a challenge for HPC system and application software with respect to fault tolerance and resilience.

Furthermore, recent experiences on extreme-scale HPC systems with non-recoverable soft errors, i.e., bit flips in memory, cache, registers, and logic added another major source of concern. The probability of such errors not only grows with system size, but also with increasing architectural vulnerability caused by employing accelerators, such as FPGAs and GPUs, and by shrinking nanometer technology. Reactive fault tolerance technologies, such as checkpoint/restart, are unable to handle high failure rates due to associated overheads, while proactive resiliency technologies, such as migration, simply fail as random soft errors can't be predicted. Moreover, soft errors may even remain undetected resulting in silent data corruption.

Important Web sites:
Resilience 2011 at http://xcr.cenit.latech.edu/resilience2011
Euro-Par 2011 at http://europar2011.bordeaux.inria.fr

Prior conferences Web sites:
Resilience 2010 at http://xcr.cenit.latech.edu/resilience2010
Resilience 2009 at http://xcr.cenit.latech.edu/resilience2009
Resilience 2008 at http://xcr.cenit.latech.edu/resilience2008

Important dates:
Paper submission deadline on June 5, 2011
Notification deadline on July 4, 2011
Resilience Workshop on August 30, 2011
Euro-Par conference on August 29 - September 2nd, 2011
Camera ready deadline is after the workshop

Topics of interest include, but are not limited to:

Reports on current HPC system and application resiliency
HPC resiliency metrics and standards
HPC system and application resiliency analysis
HPC system and application-level fault handling and anticipation
HPC system and application health monitoring
Resiliency for HPC file and storage systems
System-level checkpoint/restart for HPC
System-level migration for HPC
Algorithm-based resiliency fundamentals for HPC (not Hadoop)
Fault tolerant MPI concepts and solutions
Soft error detection and recovery in HPC systems
HPC system and application log analysis
Statistical methods to identify failure root causes
Fault injection studies in HPC environments
High availability solutions for HPC systems
Reliability and availability analysis
Hardware for fault detection and recovery
Resource management for system resiliency and availability

General Co-Chairs:
Stephen L. Scott, Oak Ridge National Laboratory, USA
Chokchai (Box) Leangsuksun, Louisiana Tech University, USA

Program Chair:
Christian Engelmann, Oak Ridge National Laboratory, USA

Publication Co-Chairs:
James Brandt, Sandia National Laboratories, USA
Ann Gentile, Sandia National Laboratories, USA

Program Committee:
- Vassil Alexandrov, Barcelona Supercomputing Center, Spain
- David E. Bernholdt, Oak Ridge National Laboratory, USA
- George Bosilca, University of Tennessee, USA
- Jim Brandt, Sandia National Laboratories, USA
- Patrick G. Bridges, University of New Mexico
- Greg Bronevetsky, Lawrence Livermore National Laboratory, USA
- Franck Cappello, INRIA/UIUC, France/USA
- Kasidit Chanchio, Thammasat University, Thailand
- Zizhong Chen, Colorado School of Mines, USA
- Nathan DeBardeleben, Los Alamos National Laboratory, USA
- Jack Dongarra, University of Tennessee, USA
- Christian Engelmann, Oak Ridge National Laboratory, USA
- Yung-Chin Fang, Dell, USA
- Kurt B. Ferreira, Sandia National Laboratories, USA
- Ann Gentile, Sandia National Laboratories, USA
- Cecile Germain, University Paris-Sud, France
- Rinku Gupta, Argonne National Laboratory, USA
- Paul Hargrove, Lawrence Berkeley National Laboratory, USA
- Xubin He, Virginia Commonwealth University, USA
- Larry Kaplan, Cray, USA
- Daniel S. Katz, University of Chicago, USA
- Thilo Kielmann, Vrije Universiteit Amsterdam, Netherlands
- Dieter Kranzlmueller, LMU/LRZ Munich, Germany
- Zhiling Lan, Illinois Institute of Technology, USA
- Chokchai (Box) Leangsuksun, Louisiana Tech University, USA
- Xiaosong Ma, North Carolina State University, USA
- Celso Mendes, University of Illinois at Urbana Champaign, USA
- Christine Morin, INRIA Rennes, France
- Thomas Naughton, Oak Ridge National Laboratory, USA
- George Ostrouchov, Oak Ridge National Laboratory, USA
- DK Panda, The Ohio State University, USA
- Mihaela Paun, Louisiana Tech University, USA
- Alexander Reinefeld, Zuse Institute Berlin, Germany
- Rolf Riesen, IBM Research, Ireland
- Eric Roman, Lawrence Berkeley National Laboratory, USA
- Stephen L. Scott, Oak Ridge National Laboratory, USA
- Jon Stearley, Sandia National Laboratories, USA
- Gregory M. Thorson, SGI, USA
- Geoffroy Vallee, Oak Ridge National Laboratory, USA
- Sudharshan Vazhkudai, Oak Ridge National Laboratory, USA