Reinventing HPC

ISC 2021 Call for Research Papers

Call for Research Papers is closed!

PLEASE NOTE: Due to global health trends, ISC 2021 will be an online-only event; the information below has been updated to reflect this.

The ISC research paper sessions provide world-class opportunities for engineers and scientists in academia, industry, and government to present and discuss issues, trends, and results that will shape the future of High Performance Computing (HPC), Networking, Storage, Machine Learning, and Data Analytics.

Submitted research papers will be reviewed by the ISC 2021 Research Papers Committee, which is headed by Dr. Bradford Chamberlain, HPE, USA, with Dr. Ana Lucia Varbanescu, University of Amsterdam, The Netherlands, as Deputy Chair.

The ISC organizers will again sponsor the Hans Meuer Award, which recognizes the most outstanding research paper as selected by members of the papers committee. The Hans Meuer Award includes a cash prize of 3,000 Euros for the paper’s authors.



Important Dates

  Abstract Submission Deadline closed
  Paper Submission Deadline closed
  Author Rebuttals February 10–17, 2021
  Notification of Acceptance March 2, 2021
  Camera-Ready Submission April 25, 2021
  Research Paper Sessions June 24 - July 1, 2021
  Final Presentation Material due May 27, 2021


Attendance requires a Full Conference Pass.

*ISC will grant a complimentary one-day Full Conference Pass to one author per accepted paper for the day of its presentation.


Chair - Brad Chamberlain

 Research Papers Chair Dr. Bradford Chamberlain, HPE, USA
 Research Papers Deputy Chair Dr. Ana Lucia Varbanescu, University of Amsterdam, The Netherlands
 Proceedings Chair Dr. Hatem Ltaief, KAUST, Saudi Arabia
 Proceedings Deputy Chair Piotr Luszczek, University of Tennessee Knoxville, USA



The Research Papers Committee encourages the submission of high-quality papers reporting original work in theoretical, experimental, and industrial research & development. The ISC submission process will be divided into five tracks this year, as follows:

Architecture, Networks, & Storage   HPC Algorithms & Applications
  • Big data & data science at scale
  • Domain-specific architectures
  • Exascale systems & architectures
  • File systems & storage architecture
  • Heterogeneous system design
  • Large data visualization
  • Memory technologies & systems
  • Network technology & architecture
  • Next-generation processors, accelerators, & chips for HPC
  • Support for data-intensive computing & databases
  • Support for in-situ data analysis
  • Algorithmic-based fault tolerance
  • Communication-reducing & synchronization-reducing algorithms
  • Convergence of simulations & big data
  • Coupled simulations
  • Energy-efficient algorithms & applications
  • High-performance applications
  • Implementations on GPUs & accelerators
  • Novel algorithms for HPC
  • Scalability on future architectures
  • Time-space trade-offs in algorithms and applications
  • Workflow management
Programming Environments & Systems Software   Machine Learning, AI, & Emerging Technologies
  • Operating systems & workload management
  • Parallel programming models, languages, & compilers
  • Power, energy management, & scheduling
  • Resilience / System robustness
  • Runtime systems for HPC
  • Scalable application frameworks
  • Tools & libraries for performance & productivity at scale
  • Tools for system monitoring & administration
  • AI/Machine learning & HPC
  • Applied machine learning studies
  • HPC system design for AI & machine learning ​
  • I/O, domain-specific languages, & tools for scalable machine learning
  • Other cutting edge or emerging HPC technologies
  • Quantum computing architecture, algorithms, & software
  • Uncertainty quantification
Performance Modeling, Evaluation, & Analysis    
  • Performance engineering & optimizations
  • Performance measurement tools & techniques
  • Performance models & prediction
  • Power & energy consumption, measurement, and modeling


Note: Submissions on other innovative aspects of high-performance computing are also welcome. You will be asked to pick a primary and a secondary track from the five above for your submission.


Submission Guidelines:

Submissions will take place in two phases:

(1) submission of the paper’s title, authors, and abstract for planning purposes;

(2) submission of the paper itself.

Paper submissions are required to be formatted using LNCS style (see Springer’s website):

Review Process:

  • Each paper is expected to receive a minimum of 4 reviews
  • Double-blind peer-review will be used
  • Papers will be evaluated based on novelty, fundamental insights, clarity of presentation, and potential for long-term impact

Rebuttal phase (Feb 10–17, 2021):

  • Initial reviewer comments will be made available to authors
  • Authors can respond to clarify misunderstandings and answer questions
  • Rebuttals will be submitted in written format and will have a tight deadline
  • Authors will receive additional instructions via email

Final decision (Mar 2, 2021):

  • All reviews and rebuttals will be considered by the paper’s track committee
  • Live reviewer discussions will occur during the research paper committee meeting
  • A consensus-driven approach will be used to select the strongest papers
  • Notification of the papers’ outcomes will be sent to authors after the PC meeting

Submission deadlines: abstracts Dec 10, 2020; papers Dec 21, 2020 (closed)

  • ISC 2021 will be a digital event taking place from June 24 until July 2.
  • Paper presenters need to be registered ISC 2021 participants, though one author will be granted a complimentary Full Conference Pass for the day of their presentation.
  • Registration fees for other days or authors, and other such expenses will not be covered by the ISC organizers.



All accepted research papers will be published in the Springer Lecture Notes in Computer Science (LNCS) series.  There are no fees related to the publication of accepted papers by Springer. The papers will also be available to download from Springer’s website for a limited time after ISC 2021 (June 24 - July 24, 2021).

Authors may also opt to publish open access versions of their papers through Springer if desired—please refer to Springer’s website for further information and pricing.

Paper submissions are required to be no more than 18 pages in LNCS style. For the camera-ready version, authors are automatically granted one extra page to incorporate reviewer comments.

Volumes published as part of the LNCS series are made available to the following indexing services:

    • Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science
    • EI Engineering Index (Compendex and Inspec databases)
    • ACM Digital Library
    • DBLP
    • Google Scholar
    • IO-Port
    • MathSciNet
    • Scopus
    • Zentralblatt MATH



The ISC organizers will make the conference materials (videos/slides) available for attendees.

  • Jeff Hammond, NVIDIA, Finland (Chair)
  • Amanda Randles, Duke University, United States of America (Deputy Chair)

Algorithms, Methods & Tuning

  • Hatem Ltaief, KAUST, Saudi Arabia (Chair)
  • Ahmad Abdelfattah, University of Tennessee, United States of America
  • Sameh Abdulah, KAUST, Saudi Arabia
  • Qinglei Cao, Saint Louis University, United States of America
  • Kate Clark, NVIDIA, United States of America
  • Aimad Er-Raiy, Airbus, France
  • Aniello Esposito, HPE, Switzerland
  • Huda Ibeid, Intel, United States of America
  • Mathias Jacquelin, Cerebras Systems, United States of America
  • Kamer Kaya, Sabancı University, Turkey
  • Xinhua Lin, Shanghai Jiao Tong University, China
  • Lena Oden, Fernuniversität in Hagen, Forschungszentrum Jülich GMBH, Germany
  • Jesmin Jahan Tithi, INTEL CORP, Intel, United States of America
  • Miwako Tsuji, RIKEN, AHUG, Japan
  • Ichitaro Yamazaki, Sandia National Laboratories, United States of America

Applications & Use Cases

  • Bronson Messer, Oak Ridge National Laboratory, United States of America (Chair)
  • Reuben Budiardja, Oak Ridge National Laboratory, United States of America
  • Peter Coveney, UCL, University of Amsterdam, United Kingdom
  • Anshu Dubey, Argonne National Laboratory, University of Chicago, United States of America
  • Ian Karlin, NVIDIA, United States of America
  • Christopher Knight, Argonne National Laboratory, United States of America
  • Nicholas Malaya, AMD, United States of America
  • Bronson Messer, Oak Ridge National Laboratory, United States of America
  • Ramesh Pankajakshan, Lawrence Livermore National Lab, United States of America
  • Scott Parker, Argonne Leadership Computing Facility, United States of America
  • Markus Rampp, Max Planck Computing & Data Facility, Germany
  • Christine Simpson, Argonne Leadership Computing Facility, United States of America
  • Tjerk Straatsma, ORNL, United States of America

Machine Learning & AI

  • Sofia Vallecorsa, CERN, Switzerland (Chair)
  • Vishakha Agrawal, SiFive, United States of America
  • Maxwell Cai, Intel, Leiden University, Netherlands
  • Renato Cardoso, CERN, Switzerland
  • Adel Chaibi, Intel, France
  • Nadya Chernyavskaya, Predictive Layer, Switzerland
  • Nikoli Dryden, Lawrence Livermore National Laboratory, United States of America
  • Tobias Grosser, University of Edinburgh, United Kingdom
  • Pratik Jawahar, University of Manchester, France
  • Vladimir Loncar, MIT, United States of America
  • Lukasz Miroslaw, Microsoft, Switzerland
  • Diana Moise, Cray, HPE, Switzerland
  • Bogdan Nicolae, Argonne National Laboratory, United States of America
  • David Ojika, University of Florida, United States of America
  • Piyush Raikwar, CERN, Switzerland
  • Vikram A. Saletore, Intel Corporation, United States of America
  • Edgar Solomonik, University of Illinois at Urbana-Champaign, United States of America
  • Mudhakar Srivatsa, IBM, United States of America
  • Kyongmin Yeo, IBM, United States of America

Programming Environments & System Software

  • Tom Deakin, University of Bristol, United Kingdom (Chair)
  • Sunita Chandrasekaran, University of Delaware, United States of America
  • Biagio Cosenza, University of Salerno, Italy
  • Johannes Doerfert, Lawrence Livermore National Laboratory, United States of America
  • Yehia Elkhatib, University of Glasgow, United Kingdom
  • Bilel Hadri, KAUST Supercomputing Laboratory, Saudi Arabia
  • Georg Hager, University of Erlangen-Nuremberg, Erlangen Regional Computing Center, Germany
  • Guido Juckeland, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany
  • Pekka Jääskeläinen, Tampere University, Intel Finland Oy, Finland
  • Pouya Kousha, The Ohio State University, United States of America
  • John Linford, NVIDIA, United States of America
  • Glenn Lockwood, Microsoft Corporation, United States of America
  • James Richings, Edinburgh Parallel Computing Centre (EPCC), United Kingdom
  • Roxana Rusitoru, Arm, United Kingdom
  • Sameer Shende, University of Oregon; ParaTools, Inc., United States of America
  • Osman Seckin Simsek, University of Basel, Switzerland

Quantum Computing

  • Stefan Knecht, AlgorithmiQ, Finland (Chair)
  • Ayush Asthana, University of north dakota, United States of America
  • Werner Dobrautz, Chalmers University of Technology, Sweden
  • Luigi Iapichino, Leibniz Supercomputing Centre, Germany
  • Jeanette Lorenz, Fraunhofer Institute for Cognitive Systems IKS, LMU Munich, Germany
  • Stefano Mensa, The Hartree Centre, STFC, United Kingdom
  • Stephan P. A. Sauer, University of Copenhagen, Denmark
  • Francesco Tacchino, IBM Research Zürich, Switzerland
  • Ivano Tavernelli, IBM, Swaziland
  • Phillip Wagner Kastberg Jensen, University of Copenhagen, Denmark

System Architecture & Hardware Components

  • Samantika Sury, Samsung Semiconductor Incorporated, United States of America (Chair)
  • Eric Borch, Samsung, United States of America
  • Aditya Deshpande, Samsung Semiconductor Inc., United States of America
  • David D. Donofrio, Tactical Computing Laboratories, United States of America
  • Jayesh Iyer, Esperanto Technologies, United States of America
  • Nikhil Jain, NVIDIA, United States of America
  • Stefan Knecht, Algorithmiq, Germany
  • Kalyan Kumaran, Argonne National Laboratory, United States of America
  • Divya Prasad, AMD, United States of America
  • Roxana Rusitoru, Arm, United Kingdom
  • Jaehoon Yu, SAIT, South Korea