-------- Original Message -------- Subject: [computational.science] Deadline extended to October 8: Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA) 2010 Date: Thu, 30 Sep 2010 16:58:59 -0400 From: Christian Engelmann engelmannc@ornl.gov Organization: "ICCSA" To: Computational Science Mailing List computational.science@lists.iccsa.org
We apologize if you receive multiple copies.
The deadline was extended to October 8.
Also, the best (extended) papers will be published in a special Issue (or Special Section) of Elsevier Science's International Journal of Computational Science (http://www.elsevier.com/wps/locate/jocs).
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Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA) New Orleans, LA, USA, November 14-15, 2010 http://www.csm.ornl.gov/srt/conferences/Scala/2010
held in conjunction with the 23rd IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC) 2010
Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points.
Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Scientific key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems.
Submission Guidelines:
Authors are invited to submit manuscripts in English structured as technical papers not exceeding 8 letter size (8.5x11) pages including figures, tables and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at http://www.ieee.org/web/publications/pubservices/confpub/AuthorTools/ conferecceTemplates.html. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop 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, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at http://www.easychair.org/conferences/?conf=scala2010.
Important Dates:
- Full paper or extended abstract submission: 8 October, 2010 - Notification of acceptance: 15 October, 2010 - Camera-ready papers and extended abstracts: 3 November, 2010
Topics of interest include, but are not limited to:
- Novel scientific algorithms that improve performance, scalability, resilience and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2018) - Naturally fault tolerant, self-healing or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience
Workshop Chairs:
- Prof. Vassil Alexandrov, The University of Reading, UK - Prof. Jack Dongarra, The University of Tennessee, USA - Al Geist, Oak Ridge National Laboratory, USA
Workshop Program Chair:
- Dr. Christian Engelmann, Oak Ridge National Laboratory, USA
Program Committee:
- Prof. Vassil Alexandrov, The University of Reading, UK - Dr. Rob Allan, Daresbury Laboratory, UK - Prof. Marian Bubak, University of Science and Technology, Krakow, Poland - Prof. Jack Dongarra, The University of Tennessee, USA - Al Geist, Oak Ridge National Laboratory, USA - Dr. Kirk Jordan, IBM T.J. Watson Centre, USA - Prof. Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Prof. Ron Perrott, Queen's University Belfast, UK - Dr. Stephen L. Scott, Oak Ridge National Laboratory, USA