resurchify Conferences Journals Workshops Seminars

DLonSC 2020 : 4th International Workshop on Deep Learning on Supercomputers

Frankfurt, Germany
Event Date: Jun 25, 2020 - Jun 25, 2020
Submission Deadline: Mar 31, 2020
Notification of Acceptance: Apr 16, 2020
Camera Ready Version Due : May 15, 2020


The Deep Learning on Supercomputers workshop is with ISC’20 on June 25th, 2020 in Frankfurt, Germany. It is the fourth workshop in the Deep Learning on Supercomputers series. The workshop provides a forum for practitioners working on any and all aspects of DL for scientific research in the High Performance Computing (HPC) context to present their latest research results and development, deployment, and application experiences. The general theme of this workshop series is the intersection of DL and HPC, while the theme of this particular workshop is centered around the applications of deep learning methods in scientific research: novel uses of deep learning methods, e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial network (GAN), and reinforcement learning (RL), for both natural and social science research, and innovative applications of deep learning in traditional numerical simulation. Its scope encompasses application development in scientific scenarios using HPC platforms; DL methods applied to numerical simulation; fundamental algorithms, enhanced procedures, and software development methods to enable scalable training and inference; hardware changes with impact on future supercomputer design; and machine deployment, performance evaluation, and reproducibility practices for DL applications with an emphasis on scientific usage.

Call For Paper

Topics include but are not limited to:

  • DL as a novel approach of scientific computing

    • Emerging scientific applications driven by DL methods
    • Novel interactions between DL and traditional numerical simulation
    • Effectiveness and limitations of DL methods in scientific research
    • Algorithms and procedures to enhance reproducibility of scientific DL applications
  • DL for science workflows

    • Data management through the life cycle of scientific DL applications
    • General algorithms and procedures for efficient and scalable DL training
  • Scalable DL methods to address the challenges of demanding scientific applications

    • General algorithms and systems for large scale model serving for scientific use cases
    • New software, and enhancements to existing software, for scalable DL
    • DL communication optimization at scale
    • I/O optimization for DL at scale
    • DL performance evaluation and analysis on deployed systems
    • DL performance modeling and tuning of DL on supercomputers
    • DL benchmarks on supercomputers
  • Novel hardware designs for more efficient DL

    • Processors, accelerators, memory hierarchy, interconnect changes with impact on deep learning in the HPC context

As part of the reproducibility initiative, the workshop requires authors to provide information such as the algorithms, software releases, datasets, and hardware configurations used. For performance evaluation studies, we will encourage authors to use well-known benchmarks or applications with open accessible datasets: for example, MLPerf and ResNet-50 with the ImageNet-1K dataset.

Important Dates

  • Technical paper due: Mar 31st, 2020
  • Acceptance notification: Apr 16th, 2020
  • Camera ready: May 15th, 2020
  • Workshop date: June 25th, 2020

Paper Submission

Authors are invited to submit unpublished, original work with a minimum of 6 pages and a maximum of 12 pages in single column text with LNCS style. All submissions should be in LNCS format and submitted using linklings tentatively.

Organizing Committee

  • Valeriu Codreanu (co-chair), SURFsara, Netherlands
  • Ian Foster (co-chair), UChicago & ANL, USA
  • Zhao Zhang (co-chair), TACC, USA
  • Weijia Xu (proceeding chair), TACC, USA
  • Ahmed Al-Jarro, Fujitsu Laboratories of Europe, UK
  • Takuya Akiba, Preferred Networks, Japan
  • Thomas S. Brettin, ANL, USA
  • Maxwell Cai, SURFsara, Netherlands
  • Erich Elsen, DeepMind, USA
  • Steve Farrell, LBNL, USA
  • Song Feng, IBM Research, USA
  • Boris Ginsburg, Nvidia, USA
  • Torsten Hoefler, ETH, Switzerland
  • Jessy Li, UT Austin, USA
  • Zhengchun Liu, ANL, USA
  • Peter Messmer, Nvidia, USA
  • Damian Podareanu, SURFsara, Netherlands
  • Simon Portegies Zwart, Leiden Observatory, Netherlands
  • Qifan Pu, Google, USA
  • Arvind Ramanathan, ANL, USA
  • Vikram Saletore, Intel, USA
  • Mikhail E. Smorkalov, Huawei, Russia
  • Rob Schreiber, Cerebras, USA
  • Dan Stanzione, TACC, USA
  • Rick Stevens, UChicago & ANL, USA
  • Wei Tan, Citadel, USA
  • Jordi Torres, Barcelona Supercomputing Center, Spain
  • Daniela Ushizima, LBNL, USA
  • Sofia Vallecorsa , CERN, Switzerland
  • David Walling, TACC, USA
  • Markus Weimer, Microsoft, USA
  • Kathy Yelick, UC Berkeley & LBNL, USA
  • Huazhe Zhang, Facebook, USA

Hotel Deals

Check Other Conferences, Workshops, and Seminars


COMPSE 2020 : 4th EAI International Conference on Computer Science and Engineering in Health Services
N/A, Cyberspace
Nov 26, 2020
EMSA 2020 : 9th International Conference on Embedded Systems and Applications
London, United Kingdom
Jul 25, 2020
ICSCA 2021 : 10th International Conference on Software and Computer Applications
Kuala Lumpur, Malaysia
Feb 23, 2021
LA@IV 2020 : 3rd International Symposium Learning Analytics
Sep 07, 2020
ASUC 2020 : 11th International Conference on Ad hoc, Sensor & Ubiquitous Computing
Toronto, Canada
Jul 11, 2020


Frontiers in Big Data 2020 : Novel Big Data Technologies in Public Health

ICMTEL 2021 : 3rd EAI International Conference on Multimedia Technology and Enhanced Learning
Leicester, Great Britain
Apr 09, 2021
ICDM 2021 : 21th Industrial Conference on Data Mining
New York, USA
Jul 14, 2021
MLDM 2021 : 17th International Conference on Machine Learning and Data Mining
New York, USA
Jul 17, 2021
RSDA 2020 : The 5th IEEE International Workshop on Reliability and Security Data Analysis
Coimbra, Portugal (Virtual workshop)
Oct 12, 2020


RLPMTM 2021 : Applied Sciences special issue Rich Linguistic Processing for Multilingual Text Mining

ICMTEL 2021 : 3rd EAI International Conference on Multimedia Technology and Enhanced Learning
Leicester, Great Britain
Apr 09, 2021
ICIIT 2021 : 6th International Conference on Intelligent Information Technology
Ho Chi Minh, Vietnam
Feb 25, 2021
LegalAI 2020 : The Fourth Annual Workshop on Applications of Artificial Intelligence in the Legal Industry
Dec 10, 2020
ICCR 2020 : 3rd International Conference on Control and Robots
Tokyo, Japan
Dec 26, 2020