HPC Asia 2021

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HPC Asia 2021

HPC Asia 2021

International Conference on High Performance Computing in Asia-Pacific Region

Online Conference

S. Korea, Jan. 20~22, 2021

Dear All the attendees

The HPC Asia 2021 was over. Due to the unrelenting pandemic, we have decided holding the HPC Asia 2021 conference as a virtual event.
Thanks to your interests and supports, it turned out to be the largest participations since the HPC Asia conference series resumed in 2018.

In fact, it was quite successful in terms of the number of attendees and the diversity of the participating countries with 575 registrations from 30 countries. As our post-conference service, all the presentations including the keynote talks will be available for ~ 2 weeks through the conference website.

We would like to thank you all again for your supports and contributions to HPC Asia 2021, and look forward to seeing you in person in Kobe next year.

Best regards,
HPC Asia Steering Committee

Welcome to HPC Asia 2021

High performance computing is a key technology to solve large problems in science, engineering, and business by utilizing computing power which has been evolving to the future. HPC Asia is an international conference series on HPC technologies in Asia Pacific region to exchange ideas, research results and case studies related to all issues of high performance computing and related technologies.

Recently, it was held in T, in Guangzhou, China (2019) and in Fukuoka, Japan (2020). Then, the next conference, HPC Asia 2021, Will be held online with pre-recorded presentations, S. Korea(2021).

Keynote

  • Day 1

    Wed. Jan 20th

    1/20 - 14:00 (Seoul), 6:00 (Brussels),
    1/19 - 21:00 (US PST), 23:00 (US CST)

    hpc asia 2021

    Jean-Marc DENIS

    Chairman

    European Processor Initiative (EPI) Board

    Title

    Future Supercomputers are game changers for processor architecture. Why?

  • Day 2

    Wed. Jan 21st

    1/21 - 8:00 (Seoul), 0:00 (Brussels),
    1/20 - 15:00 (US PST), 17:00 (US CST)

    hpc asia 2021

    Douglas B. Kothe

    Director

    Exascale Computing Project(ECP), Oak Ridge National Laboratory

    Title

    Update on the US Department of Energy Exascale Computing Project

  • Day 2

    Thu. Jan 21st

    1/21 - 13:00 (Seoul), 5:00 (Brussels),
    1/20 - 20:00 (US PST), 22:00 (US CST)

    hpc asia 2021

    Jaejin Lee

    Professor

    Dept. of Computer Science and Engineering, Seoul National University

    Title

    An HPC Deep Learning Framework for AI Cloud

Important Dates

  • Abstract submission due

    August 7, 2020 (Extended)
    September 15, 2020

  • Paper submission due

    August 14, 2020 (Extended)
    September 15, 2020

  • Workshop proposal due

    August 14, 2020

  • Notification of Workshop selection

    September 1, 2020

  • Notification of Paper acceptance

    October 24, 2020

  • Camera-ready paper due

    December 1, 2020

  • Conference

    January 20-22, 2021 (Post session : January 21 afternoon in the current program plan)

  • Workshop

    January 22, 2021

In cooperation with

Sponsors

Contact

hpcasia2021[at]kisti.re.kr

Past HPC Asia

  • HPC Asia 2020

    Go

  • HPC Asia 2019

    Go

  • HPC Asia 2018

    Go

Keynote 1: (ECP talk by Douglas Kothe)

Update on the US Department of Energy Exascale Computing Project

Douglas B. Kothe (Director, Exascale Computing Project(ECP), Oak Ridge National Laboratory )

Abstract:
The vision of the U.S. Department of Energy (DOE) Exascale Computing Project (ECP) is to accelerate innovation with exascale simulation and data science solutions. ECP’s mission is to deliver exascale-ready applications and solutions that address currently intractable problems; create and deploy an expanded and vertically integrated software stack on exascale; and leverage research activities and products into HPC exascale systems. ECP’s RD&D activities, which encompass the development of applications, software technologies, and hardware technologies and architectures, is carried out by over many small teams of scientists and engineers. Illustrative examples will be given on how the ECP teams are delivering in its three areas of technical focus:

* Applications: Creating or enhancing the predictive capability of applications through algorithmic and software advances via co-design centers; targeted development of requirements-based models, algorithms, and methods; systematic improvement of exascale system readiness and utilization; and demonstration and assessment of effective software integration.

* Software Technologies: Developing and delivering a vertically integrated software stack containing advanced mathematical libraries, extreme-scale programming environments, development tools, visualization libraries, and the software infrastructure to support large-scale data management and data science for science and security applications.

* Hardware and Integration: Supporting R&D focused on innovative architectures for competitive exascale system designs; objectively evaluating hardware designs; deploying an integrated and continuously tested exascale software ecosystem; accelerating application readiness on targeted exascale architectures; and training on key ECP technologies to accelerate the software development cycle and optimize productivity of application and software developers.



Bio:
Douglas B. Kothe (Doug) has thirty-five years of experience in conducting and leading applied R&D in computational science applications designed to simulate complex physical phenomena in the energy, defense, and manufacturing sectors. Doug is currently the Director of the U.S. Department of Energy (DOE) Exascale Computing Project. Prior to that, he was Deputy Associate Laboratory Director of the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL). Other positions for Doug at ORNL, where he has been since 2006, include Director of Science at the National Center for Computational Sciences (2006-2010) and Director of the Consortium for Advanced Simulation of Light Water Reactors (CASL), DOE’s first Energy Innovation Hub (2010-2015). In leading the CASL Hub, Doug drove the creation, application, and deployment of an innovative Virtual Environment for Reactor Applications (2016 R&D winner), which offered a technology step change for the US nuclear energy industry.

Before coming to ORNL, Doug spent 20 years at Los Alamos National Laboratory, where he held a number of technical and line and program management positions, with a common theme being the development and application of modeling and simulation technologies targeting multi-physics phenomena characterized by the presence of compressible or incompressible interfacial fluid flow, where his field-changing accomplishments are known internationally. Doug also spent one year at Lawrence Livermore National Laboratory in the late 1980s as a physicist in defense sciences.

Doug holds a Bachelor in Science in Chemical Engineering from the University of Missouri – Columbia (1983) and a Masters in Science (1986) and Doctor of Philosophy (1987) in Nuclear Engineering from Purdue University.

Keynote 2: (EPI talk by Jean-Marc DENIS)

Future Supercomputers are game changers for processor architecture. Why?

Jean-Marc DENIS (Chief of Staff, innovation & Strategy, Atos / Chairman of the Board, European Processor Initiative)

Abstract:
The rise of artificial intelligence in HPC, associated to the data deluge, combined with the transition from monolithic applications toward complex workflows lead the HPC community, especially the hardware architects to reconsider how the next generation supercomputers are designed.

In this talk, the transition from existing homogenous to future modular architectures is discussed. The consequences on the general purpose processor is addressed. Ultimately, all these considerations lead to the guidelines having ruled the design of the European low power HPC processor to empower top Exascale supercomputers of the world. We will also elaborate on the first information related to RHEA, the first European HPC processor.



Bio:
Since the beginning of 2020, Jean-Marc is the Chief of Staff of the Innovation and Strategy Division at Atos. In addition, since mid-2018, Jean-Marc has been also elected as Chair of the Board of the European Processor Initiative (EPI). Prior to that, Jean-Marc Denis took different positions in the HPC industry.

After five years of research in the development of new solvers for the for Maxwell equations at Matra Defense (France) as mathematician from 1990 to 1995, Jean-Marc Denis had several technical position in the HPC industry between 1995 to 2004 from HPC pre-sales to Senior Solution Architect.

Since mid if 2004 Jean-Marc has worked at Bull SAS head Quarter (France) where he has started the HPC activity. In less than 10 years, the HPC revenue at Bull exploded from nothing in 2004 to 200M€ in 2015, making Bull the undisputed leader of the European HPC industry and the fourth in the world. From 2011 to the end of 2016, Jean-Marc has leaded the worldwide business activity with the goal to consolidate the ATOS/Bull position in Europe and to make ATOS/Bull a worldwide leader in Extreme Computing with footprint in Middle-East, Asia, Africa and South America.

From 2018 to 2020, Jean-Marc has been the head of Strategy and Plan at Atos/Bull, in charge of the global cross-Business Unit Strategy and of the definition of the 3 years business plan. In 2016 and 2017, Jean-Marc has been in charge of the definition of the strategy for the BigData Division at ATOS/Bull. In his position, his role is to define the global approach for the different BigData business lines covering HPC, Legacy (mainframe), Entreprise computing, DataScience consulting and Software.

In parallel to his activities at ATOS/Bull, since 2008, Jean-Marc Denis has taught “Supercomputer Architecture” concepts in Master 2 degree at the University of Reims Champagne Ardennes (URCA), France.

Keynote 3: (AI/Cloud talk by Jaejin Lee)

An HPC Deep Learning Framework for AI Cloud

Jaejin Lee (Professor, Dept. of Computer Science and Engineering, Seoul National University)

Abstract:
In this talk, we introduce a research direction in deep learning frameworks that automatically executes a deep learning model in parallel. The target system is a heterogeneous cluster where various accelerators are mixed. The proposed deep learning framework is compatible with popular deep learning frameworks, such as PyTorch and TensorFlow. The user just runs a deep learning model written for a single GPU or a single CPU core in the proposed deep learning framework for inference or training. The underlying AI Cloud system exploits the proposed deep learning framework to parallelize the user's workload automatically. Also, we introduce the study of deep learning optimization techniques for GPUs whose performance surpasses that of state-of-the-art deep learning optimization frameworks, such as TensorFlow XLA, TensorRT, and TVM in inference and training.



Bio:
Jaejin Lee is a professor in the Department of Computer Science and Engineering and the Graduate School of Data Science (vice-dean of student affairs) at Seoul National University (SNU). He is also the leader of the Thunder research group at SNU. He received his PhD degree in Computer Science from the University of Illinois at Urbana-Champaign (UIUC) in 1999. His PhD study was supported in part by graduate fellowships from IBM and Korea Foundation for Advanced Studies. He received an MS degree in Computer Science from Stanford University in 1995 and a BS degree in Physics from SNU in 1991. After obtaining the PhD degree, he spent a half year at the UIUC as a visiting lecturer and postdoctoral research associate. He was an assistant professor in the Department of Computer Science and Engineering at Michigan State University from January 2000 to August 2002 before joining SNU. He is an IEEE fellow and a member of ACM.

HPC Asia 2021