ScalA'17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
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.
Submission Guidelines
Authors are invited to submit manuscripts in English structured as
technical papers not exceeding 8 letter size (8.5in x 11in) pages including
figures, tables, and references using the ACM format for conference
proceedings. Submissions not conforming to these guidelines may be
returned without review. Reference style files are available at
http://www.acm.org/sigs/publications/proceedings-templates.
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unpublished research that is not currently under review for any other conference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:
https://easychair.org/conferences/?conf=scala17.
Full papers will be published with the SC'17 workshop proceedings in
the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an
extended version in a special issue of the Journal of Computational Science (JoCS).
Important Dates
- Full paper submission: September 10, 2017
- Notification of acceptance: September 30, 2017
- Final paper submission (firm): October 11, 2017
- Workshop/conference early registration: October 15, 2017
- Workshop: November 13, 2017
Topics
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 2020)
- Naturally fault tolerant, self-healing, or fault oblivious scientific
algorithms
- Programming model and system software support for algorithm
scalability and resilience
Workshop Chairs
- Vassil Alexandrov, Barcelona Supercomputing Center, Spain
- Al Geist, Oak Ridge National Laboratory, USA
- Jack Dongarra, University of Tennessee, Knoxville, USA
Workshop Program Chair
- Christian Engelmann, Oak Ridge National Laboratory, USA
Program Committee
- Vassil Alexandrov, Barcelona Supercomputing Center, Spain
- Hartwig Anzt, University of Tennessee, Knoxville, USA
- Rick Archibald, Oak Ridge National Laboratory, USA
- Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA
- Zizhong Chen, University of California, Riverside, USA
- James Elliott, Sandia National Laboratories, USA
- Nahid Emad, University of Versailles SQ, France
- Christian Engelmann, Oak Ridge National Laboratory, USA
- Wilfried Gansterer, University of Vienna, Austria
- Michael Heroux, Sandia National Laboratories, USA
- Kirk E. Jordan, IBM T.J. Watson Research, USA
- Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany
- Ignacio Laguna, Lawrence Livermore National Laboratory, USA
- Piotr Luszczek, University of Tennessee, Knoxville, USA
- Michael Mascagni, Florida State University, USA
- Ron Perrot, University of Oxford, UK
- Yves Robert, ENS Lyon, France
- Stuart Slattery, Oak Ridge National Laboratory, USA
- Keita Teranishi, Sandia National Laboratories, USA
Program
The full workshop program is also listed in the SC online program: Session - 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
- 09:00-10:05 Session 1
- 09:00-09:05 Introduction: Vassil Alexandrov (Barcelona
Supercomputing Center, Spain).
- 09:05-09:45 Keynote 1: "Application Development Framework for
Manycore Architectures on Post-Peta/Exascale
Systems," Kengo Nakajima (The University of
Tokyo, Japan) (abstract).
- 09:45-10:05 Paper 1: "Dynamic Task Discovery in PaRSEC- A data-flow
task-based Runtime," Reazul Hoque, Thomas
Herault, George Bosilca, and Jack
Dongarra.
- 10:05-10:30 Coffee break (coffee provided)
- 10:30-12:50 Session 2
- 10:30-11:10 Keynote 2: "Breakthrough Science at the Exascale,"
Katherine Yelick (Lawrence Berkeley National
Laboratory, USA, and University of
California, Berkeley, USA) (abstract).
- 11:10-11:30 Paper 2: "Flexible Batched Sparse Matrix-Vector Product
on GPUs," Hartwig Anzt, Gary Collins, Jack
Dongarra, Goran Flegar, and Enrique S.
Quintana-Orti.
- 11:30-11:50 Paper 3: "Snowpack: Efficient Parameter Choice for GPU
Kernels via Static Analysis and Statistical
Prediction," Ranvijay Singh, Paul Wood, Ravi
Gupta, Saurabh Bagchi, and Ignacio
Laguna.
- 11:50-12:10 Paper 4: "Leveraging NVLINK and Asynchronous Data
Transfer to Scale Beyond the Memory Capacity
of GPUs," David Appelhans, and Bob
Walkup.
- 12:10-12:30 Paper 5: "Application of a communication-avoiding
generalized minimal residual method to a
gyrokinetic five dimensional Eulerian code on
many core platforms," Yasuhiro Idomura, Takuya
Ina, Akie Mayumi, Susumu Yamada, Kazuya
Matsumoto, Yuuichi Asahi, and Toshiyuki
Imamura.
- 12:30-12:50 Paper 6: "Parallel Jaccard and Related Graph Clustering
Techniques," Alexandre Fender, Nahid Emad,
Serge Petiton, Joe Eaton, and Maxim
Naumov.
- 12:50-14:00 Lunch break (lunch on your own)
- 14:00-15:00 Session 3
- 14:00-14:40 Keynote 3: "An Overview of High Performance Computing
and Challenges for the Future", Jack
Dongarra (University of Tennessee,
Knoxville, USA) (abstract).
- 14:40-15:00 Paper 7: "Investigating Half Precision Arithmetic to
Accelerate Dense Linear System Solvers," Azzam
Haidar, Panruo Wu, Stanimire Tomov, and Jack
Dongarra.
- 15:00-15:30 Coffee break (coffee provided)
- 15:30-17:30 Session 4
- 15:30-16:10 Keynote 4: "A Holistic Approach to Advancing Science
& Engineering through Extreme-scale
Computing," Michael A. Heroux (Sandia
National Laboratories, USA) (abstract).
- 16:10-16:30 Paper 8: "A Highly Scalable, Algorithm-Based
Fault-Tolerant Solver for Gyrokinetic Plasma
Simulations," Michael Obersteiner, Alfredo
Parra Hinojosa, Mario Heene, Hans-Joachim
Bungartz, and Dirk Pflüger.
- 16:30-16:50 Paper 9: "Analyzing the Criticality of Transient
Faults-Induced SDCs on GPU Applications,"
Fernando Santos, and Paolo Rech.
- 16:50-17:10 Paper 10: "Dynamic Load Balancing of Massively Parallel
Unstructured Meshes," Gerrett Diamond,
Cameron Smith, and Mark Shephard.
- 17:10-17:30 Invited talk: "On Improved Monte Carlo Hybrid Methods
for Preconditioner Computations," Anton
Lebedev, Vassil Alexandrov, and Oscar
Esquivel-Flores.