[hpc-announce] Call for Participation: ScalAH at SC22

Engelmann, Christian engelmannc at ornl.gov
Tue Oct 18 13:48:49 CDT 2022

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                    Call for Participation:

           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

          8:30AM-5PM, November 13, 2022, Dallas, TX, USA

    Room C146, Kay Bailey Hutchison Convention Center Dallas
             650 S Griffin St, Dallas, TX 75202


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.

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

Program (Dallas Local Time - US Central Standard Time Zone)

8:30 - 10:05 Session 1

- 8:30 - 9:15 Invited Talk 1:
  "Opportunities for Neuromorphic Computing Co-Processors",
  Prof. Catherine Schuman (University of Tennessee)

- 9:15 - 9:40 Paper 1:
  "Implementing Asynchronous Jacobi Iteration on GPUs",
  Yu-Hsiang Tsai, Pratik Nayak, Edmond Chow, and Hartwig Anzt

- 9:40 - 10:05 Paper 2:
  "GPU Optimization of Lattice Boltzmann Method with Local Ensemble Transform
   Kalman Filter",
  Yuta Hasegawa, Toshiyuki Imamura, Takuya Ina, Naoyuki Onodera, Yuuichi Asahi,
  and Yasuhiro Idomura

10:05 - 10:30 Coffee break (coffee provided onsite)

10:30 - 12:05 Session 2

- 10:30 - 11:15 Invited Talk 2:
  "Heterogeneous Computing Challenges and Opportunities",
  Dr. Kirk E. Jordan (IBM T.J. Watson Research Center)

- 11:15 - 11:40 Paper 3:
  "Scalable Finite-Element Viscoelastic Crustal Deformation Analysis
   Accelerated with Data-Driven Method", Kohei Fujita, Sota Murakami,
  Tsuyoshi Ichimura, Takane Hori, Muneo Hori, Lalith Maddegedara, and
  Naonori Ueda

- 11:40 - 12:05 Paper 4:
  "MARs: Memory Access Rearrangements in Open MPI",
  Yicheng Li, Joseph Schuchart, and George Bosilca

12:05 - 13:30 Lunch break (lunch on your own)

13:30 - 15:05 Session 3

- 13:30 - 14:15 Invited Talk 3:
  "Hybrid AI/HPC Approaches for Next Generation Multi-Trillion-Parameter
  Dr. Phil Brown (Graphcore)
- 14:15 - 14:40 Paper 5:
  "Threshold Pivoting for Dense LU Factorization",
  Neil Lindquist, Mark Gates, Piotr Luszczek, and Jack Dongarra
- 14:40 - 15:05 Paper 6:
  "Mixed-Precision Algorithm for Finding Selected Eigenvalues and Eigenvectors
   of Symmetric and Hermitian Matrices",
  Yaohung Tsai, Piotr Luszczek, and Jack Dongarra

15:05 - 15:30 Coffee break (coffee provided onsite)

15:30 - 17:00 Session 4

- 15:30 - 16:15 Invited Talk 4:
  "Scalable deep learning algorithms for scientific applications on leadership
   class computing systems",
  Brian Van Essen (Lawrence Livermore National Laboratory)
- 16:15 - 17:00 Invited Talk 5:
  "Hybrid AI/HPC Approaches and Linear Algebra",
  Prof. Nahid Emad (University of Paris Saclay/Versailles)

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
- Valerie Taylor, Argonne 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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