[hpc-announce] Call for participation: ScalA Workshop at SC'13
Christian Engelmann
engelmannc at computer.org
Fri Nov 1 16:19:53 CDT 2013
We apologize if you receive multiple copies of this notice.
-----------------------------------------------------------------------------
Workshop on Latest Advances in Scalable
Algorithms for Large-Scale Systems (ScalA) 2013
<http://www.csm.ornl.gov/srt/conferences/Scala/2013>
held in conjunction with
SC13: The International Conference for High
Performance Computing, Networking, Storage and Analysis
in cooperation with ACM SIGHPC
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. 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.
Date: November 18, 2013, Denver, CO, USA
Venue: Room 507 (Street Level, Near 'E' Lobby)
Colorado Convention Center, 700 14th St, Denver, CO 80202, USA
Program:
Session 1:
09:00-09:15 Opening
09:15:10:00 Keynote 1:
"Toward the Next Generation of Parallel and Resilient Algorithms,"
Michael A. Heroux, Sandia Laboratories, USA
10:00-10:30 Coffee break (coffee provided)
Session 2:
10:30-11:15 Keynote 2:
"Extreme Scaling on SuperMUC,"
Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany
11:15-11:40 Paper 1:
"Using HPX and LibGeoDecomp for Scaling HPC Applications on
Heterogeneous Supercomputers,"
Thomas Heller, Hartmut Kaiser, Andreas Schaefer, and Dietmar Fey
11:40-12:05 Paper 2:
"CPU-GPU Hybrid Bidiagonal Reduction With Soft Error Resilience,"
Yulu Jia, Piotr Luszczek, George Bosilca, and Jack Dongarra
12:05-13:30 Lunch break (lunch on your own)
Session 3:
13:30-14:15 Keynote 3:
"Algorithms for Dynamic Data Driven Applications Systems
(DDDAS/InfoSymbiotics),"
Frederica Darema, Air Force Office of Scientific Research, USA
14:15-14:40 Paper 3:
"A Study of Application-Level Recovery Methods for Transient
Network Faults,"
Ignacio Laguna, Edgar A. Leon, Martin Schulz, and Mark Stephenson
14:40-15:05 Paper 4:
"Self-stabilizing Iterative Solvers,"
Piyush Sao and Richard Vuduc
15:05-15:30 Coffee break (coffee provided)
Session 4:
15:30-16:15 Keynote 4:
"Algorithmic and Software Challenges For Numerical Libraries
at Exascale,"
Jack Dongarra, The University of Tennessee, Knoxville, USA
16:15-16:40 Paper 5:
"CUDA Acceleration of a Matrix-Free Rosenbrock-K method
applied to the Shallow Water Equations,"
Paul Tranquilli, Ross Glandon, and Adrian Sandu
16:40-17:05 Paper 6:
"On Scalability Behaviour of Monte Carlo Sparse Approximate
Inverse for Matrix Computations,"
Janko Strassburg and Vassil Alexandrov
17:05-17:30 Closing
--
Christian Engelmann, Ph.D.
System Software Team Task Lead / R&D Staff Scientist
Computer Science Research Group
Computer Science and Mathematics Division
Oak Ridge National Laboratory
Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA
Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491
e-Mail: engelmannc at ornl.gov / Home: www.christian-engelmann.info
More information about the hpc-announce
mailing list