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

-- 
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Dr. Christian Engelmann                        Phone: +1 (865) 574-3132
Research and Development Staff Member            Fax: +1 (865) 576-5491
Oak Ridge National Laboratory                    One Bethel Valley Road
mailto:engelmannc@ornl.gov                       P.O. Box 2008, MS-6173
http://www.csm.ornl.gov/~engelman              Oak Ridge, TN 37831, USA
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