[hpc-announce] CFP ScalAH at SC: 13th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems - Papers due August 9

Engelmann, Christian engelmannc at ornl.gov
Mon May 30 13:03:15 CDT 2022

We apologize if you receive multiple copies of this notice.


           ScalAH22: 13th Workshop on Latest Advances in
     Scalable Algorithms for Large-Scale Heterogeneous Systems

                    held in conjunction with
     SC22: The International Conference on High Performance
           Computing, Networking, Storage and Analysis

          in cooperation with the IEEE Computer Society

               November 13, 2022, Dallas, TX, USA


Novel hybrid scalable scientific algorithms are needed with the advent of
variety of novel accelerators including graphics processing units (GPUs),
field-programmable gate arrays (FPGAs) as well as with the growth of the size
of quantum computing devices and neuromorphic chips and various artificial
intelligence (AI) specific processors. This myriad of devices requires an
unified hybrid approach that allows efficient and scalable hybrid approaches
combining classical and novel computing paradigms to be implemented at scale.
These extreme-scale heterogeneous systems require novel scientific algorithms
to hide the complexity, hide network and memory latency, have advanced
communication, and have no synchronization points where possible. With the
advent of AI in the past few years the need of such scalable mathematical
methods and algorithms for such hybrid architectures that are able to handle
data and compute intensive applications at scale becomes even more important.

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. Key science applications require novel
mathematics and mathematical models and system software that address the
scalability and resilience challenges of current- and future-generation
extreme-scale heterogeneous high performance computing (HPC) systems.

Submission Guidelines
Authors are invited to submit manuscripts in English structured as technical
papers at a length of at least 6 letter size (8.5in x 11in) pages and not
exceeding 8 pages, including figures, tables, and references using the IEEE
format for conference proceedings. Reference style files are available at

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. Papers should be submitted electronically at

All manuscripts will be peer-reviewed and judged on correctness, originality,
technical strength, and significance, quality of presentation, and interest and
relevance to the workshop attendees. Accepted papers will be published with the
IEEE Computer Society in the IEEE Xplore Digital Library. At least one author of
an accepted paper must register for and present the paper at the workshop
(in-person live, remote live or pre-recorded video):
Authors may contact the workshop program chair, Christian Engelmann at
<engelmannc at ornl.gov>, for more information.

Reproducibility Initiative

As part of a major initiative that aims to increase the level of reproducibility
and replicability of results, ScalAH22 invites authors of technical papers to
submit optional appendix information that can promote better reproducibility of
computational results. Submitted Artifact Description (AD) and Artifact
Evaluation (AE) appendices will follow the SC22 conference model and review
process. Learn more about the Reproducibility Initiative:

Important Web Sites

- ScalAH22 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2022>
- ScalAH22 Submissions: <https://submissions.supercomputing.org>
- SC22 website: <http://sc22.supercomputing.org/>

Important Dates

- Full paper submission:                  August     9, 2022
- Notification of acceptance:             September  9, 2022
- Pre-recorded video submission (firm):   September 30, 2022
- Final paper submission (firm):          October   14, 2022
- Workshop/conference early registration: October   14, 2022
- Workshop:                               November  13, 2022

Topics of interest include, but are not limited to:

- Novel scientific algorithms that improve performance, scalability, resilience
  and power efficiency on hybrid architectures
- Porting scientific algorithms and applications to hybrid and heterogeneous
  architectures (with different accelerators, hybrid classical/quantum,
  classical/AI accelerated, etc.)
- Crosscutting approaches (system software and applications) in addressing
  scalability challenges on hybrid architectures
- Naturally fault tolerant, self-healing or fault oblivious scientific
  algorithms for hybrid architectures
- Methods and algorithms for silent data corruption with systems at scale
- Ensuring algorithms scalability over various accelerator partitions/islands,
  and taking advantage where the system itself has different kinds of
  specialized compute nodes

Workshop Chairs

- Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council,
- Jack Dongarra, University of Tennessee, Knoxville, USA
- Al Geist, Oak Ridge National Laboratory, USA
- Dieter Kranzlmueller, Leibniz Supercomputing Centre and
  Ludwig-Maximilians-University Munich, Germany
- Ivano Tavernelli, IBM Zurich, Switzerland

Workshop Program Chair

- Christian Engelmann, Oak Ridge National Laboratory, USA
  Contact at engelmannc at ornl.gov

Program Committee
- Hartwig Anzt, University of Tennessee, Knoxville, USA, and Karlsruher
  Institute for Technology (KIT), Germany
- Rick Archibald, Oak Ridge National Laboratory, USA
- Hans-Joachim Bungartz, Technical University of Munich, Germany
- James Elliott, Sandia National Laboratories, USA
- Nahid Emad, University of Versailles SQ, France
- Wilfried Gansterer, University of Vienna, Austria
- Yasuhiro Idomura, Japan Atomic Energy Agency, Japan
- Kirk E. Jordan, IBM T.J. Watson Research, USA
- Aneta Karaivanova, Bulgarian Academy of Sciences, Bulgaria
- Alison Kennedy, Hartree Centre, Science and Technology Facilities Council, UK
- Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany
- Sriram Krishnamoorthy, Google, USA
- Ignacio Laguna, Lawrence Livermore National Laboratory, USA
- Paul Lin, Lawrence Berkeley National Laboratory, USA
- Kengo Nakajima, RIKEN, Japan
- Ron Perrot, University of Oxford, UK
- Yves Robert, ENS Lyon, France
- Stuart Slattery, Oak Ridge National Laboratory, USA
- Keita Teranishi, Sandia National Laboratories, USA


Christian Engelmann, Ph.D.
Senior Scientist & Group Leader
Intelligent Systems and Facilities Group
Advanced Computing Systems Research Section
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

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