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2nd Workshop on Latest Advances in Scalable Algorithms
for Large-Scale Systems (ScalA)
held in conjunction with the
24th IEEE/ACM International Conference on High Performance
Computing, Networking, Storage and Analysis (SC) 2011
November 14, 2011, Seattle, WA, USA
<http://www.csm.ornl.gov/srt/conferences/Scala/2011/>
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.
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
Venue:
- Grand Hyatt Seattle, 721 Pine Street, Seattle, WA 98101
Room: Princessa II
Program:
08:50-09:00: Opening
Prof. Vassil Alexandrov (BSC, Spain)
09:00-09:45: Invited talk
- The low-power Architecture Approach
Towards Exascale Computing,
Prof. Alex Ramirez (BSC, Spain)
09:45-10:35: Papers
- Implementing a Gaussian Process Learning
Algorithm in Mixed Parallel Environment,
V. Chandola (ORNL, USA) and
R. Vatsavai (ORNL, USA)
- Scalable and Fault Tolerant Orthogonalization
Based on Randomized Aggregation,
W. Gansterer (UoV, Austria),
G. Niederbrucker (UoV, Austria),
H. Strakova (UoV, Austria), and
S. Grotthoff (UoV, Austria)
10:35-11:00: Coffee Break
11:00-11:45: Invited talk
- A Holistic Approach for Exascale Resilience,
Prof. Franck Cappello (INRIA/UIUC, France/USA)
11:45-12:35: Papers
- Soft Error Resilient QR Factorization
for Hybrid System with GPGPU,
P. Du (UT, USA), P. Luszczek (UT, USA),
S. Tomov (UT, USA), and J. Dongarra (UT/ORNL/UoM, USA/UK)
- On Non-Blocking Collectives in 3D FFTs,
R. Saksena (Fujitsu, UK)
12:35-13:50: Lunch Break
13:50-14:35: Invited talk
- Top down Programming Methodology and Tools with StarSs -
Enabling Scalable Programming Paradigms,
Prof. Rosa Badia (BSC, Spain)
14:35-15:00: Papers
- Layout-aware Scientific Computing -
A Case Study with MILC,
J. He (IIT, USA), J. Kowalkowski (FNAL, USA),
M. Paterno (FNAL, USA), D. Holmgren (FNAL, USA),
J. Simone (FNAL, USA), and X. Sun (IIT, USA)
15:00-15:45: Invited talk
- On the Future of High Performance Computing:
How to Think for Peta and Exascale Computing,
Prof. Jack Dongarra (UT/ORNL/UoM, USA/UK)
15:45-16:00: Coffee Break
16:00-17:15: Papers
- Fault Tolerant Matrix-Matrix Multiplication:
Correcting Soft Errors On-Line,
P. Wu (CSM, USA), C. Ding (CSM, USA),
L. Chen (CSM, USA), T. Davies (CSM, USA),
C. Karlsson (CSM, USA), and Z. Chen (CSM, USA)
- Performance Analysis of a Cardiac
Simulation Code Using IPM,
P. Strazdins (ANU, Austria), and
M. Hegland (ANU, Austria)
- Investigating Scaling Behaviour of Monte Carlo
Codes for Dense Matrix Inversion,
V. Alexandrov (BSC, Spain) and J. Straßburg (UoR, UK)
17:15-17:30: Concluding Remarks
Prof. Vassil Alexandrov (BSC, Spain)
Workshop Chairs:
- Prof. Vassil Alexandrov, Barcelona Supercomputing Center, Spain
- Al Geist, Oak Ridge National Laboratory, USA
- Prof. Jack Dongarra, The University of Tennessee, USA
Workshop Program Chair
- Dr. Christian Engelmann, Oak Ridge National Laboratory, USA
Program Committee:
- Prof. Vassil Alexandrov, Barcelona Supercomputing Center, Spain
- Dr. Rob Allan, Daresbury Laboratory, UK
- Dr. David E. Bernholdt, Oak Ridge National Laboratory, USA
- Prof. George Bosilca, University of Tennessee, USA
- Dr. Greg Bronevetsky, Lawrence Livermore National Laboratory, USA
- Prof. Marian Bubak, AGH University of Science and Technology,
Krakow, Poland and University of Amsterdam, The Netherlands
- Dr. Franck Cappello, INRIA/UIUC, France/USA
- Prof. Zizhong Chen, Colorado School of Mines, USA
- Prof. Jack Dongarra, The University of Tennessee, USA
- Dr. Christian Engelmann, Oak Ridge National Laboratory, USA
- Dr. George Fann, Oak Ridge National Laboratory, USA
- Al Geist, Oak Ridge National Laboratory, USA
- Dr. Curtis Janssen, Sandia National Laboratories, USA
- Dr. Kirk E. Jordan, IBM T.J. Watson Research, USA
- Prof. Dieter Kranzlmueller, Ludwig-Maximilians-University Munich,
Germany
- Prof. Ron Perrot, Queen's University Belfast, UK
- Prof. Stephen L. Scott, Tennessee Tech University and
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@computer.org P.O. Box 2008, MS-6173
http://www.christian-engelmann.info Oak Ridge, TN 37831, USA
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