Imagine Tomorrow

Research Papers Submission

PLEASE NOTE: The Call for Research Papers is currently open for submission

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), machine learning, data analytics and quantum computing.

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

Submitted research paper proposals will be reviewed by the ISC 2023 Research Papers Committee, which is headed by Abhinav Bhatele, University of Maryland, USA, as Chair.


Submissions will be accepted through December 23, 2022.



  Full Submission Deadline December 23, 2022 11:59pm AoE
  Author Rebuttals February 11 – 15, 2023
  Notification of Acceptance February 24, 2023
  Camera-Ready Submission March 17, 2023 11:59pm AoE
  Research Paper Sessions Monday, May 22 – Wednesday, May 24, 2023
  Final Presentation Slides in PDF due to be announced
  Short pre-recorded Video due May 1, 2023 11:59pm AoE


Chair - Abhinav Bhatele

 Research Papers Chair
Abhinav Bhatele, University of Maryland, USA
 Research Papers Deputy Chair Jeff Hammond, NVIDIA, Finland
 Proceedings Chair Marc Baboulin, Université Paris-Saclay, France
 Proceedings Deputy Chair Carola Kruse, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), France


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:

Architectures, Networks, & Storage   HPC Algorithms & Applications
  • Next-generation processors and accelerators for HPC
  • Extreme heterogeneous chips/chiplets for HPC beyond exascale
  • The future of computing beyond Moore's Law
  • Network technology & architecture
  • Domain-specific architectures / accelerators
  • Memory technologies & hierarchies
  • Storage architectures & file systems
  • Scalable architectures for big data and data science
  • Exascale computing
  • Distributed / disaggregated resources / systems
  • Novel algorithms for HPC
  • Algorithmic-based fault tolerance
  • Communication-reducing & synchronization-reducing algorithms
  • Time-space trade-offs in algorithms and applications
  • Extreme-scale applications
  • Energy-efficient algorithms & applications
  • Convergence of simulations & big data
  • Application scalability on future architectures
  • Data-intensive applications
  • Coupled simulations
  • Implementations on GPUs & accelerators
  • In-situ data analysis
Programming Environments & Systems Software   Machine Learning, AI, & Quantum Computing
  • Parallel programming models, languages, and compilers
  • Tools and libraries for performance & productivity at scale
  • Scalable application frameworks
  • Runtime systems for HPC
  • Resilience / system robustness
  • Operating systems & workload management
  • Tools for system monitoring & administration
  • Power, energy management, and scheduling
  • Workflow management
  • Databases
  • AI/Machine learning & HPC
  • HPC system design for AI & machine learning ​
  • I/O, domain-specific languages, and tools for scalable machine learning
  • Applied machine learning studies
  • Uncertainty quantification
  • HPC for parallel/distributed deep learning
  • Explainable AI and FAIR Principles for ML and data management
  • Quantum computing architecture, algorithms, and software
  • Quantum computing & HPC
  • Other cutting-edge or emerging HPC technologies
Performance Modeling, Evaluation, & Analysis    
  • Performance models and prediction
  • Performance engineering and optimizations
  • Performance measurement tools and techniques
  • Power consumption measurement and modeling
  • Performance analysis and visualization tools
  • Simulations for performance modeling and prediction
  • Workflow 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 will be accepted through December 23, 2022 (11:59 pm AoE)




Submission Guidelines

Paper submissions must be formatted using LNCS style (see Springer’s website) and adhere to the following guidelines:

Note that a membership on a program committee does not inherently create a conflict of interest to submit a paper.

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

The Research Paper Committee reserves the right to reject incorrectly formatted papers.

Rebuttal Phase (February 11-15, 2023)

  • 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 (February 24, 2023)

  • 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 program committee’s meeting
  • ISC 2023 is planned as an in-person conference from May 21 to May 25, 2023, in Hamburg, Germany. By submitting a research paper, the submitter agrees that one of the authors of the paper will present the work at ISC 2023 in Hamburg, Germany. For unforeseen circumstances that would prevent the chosen speaker from attending the event, the submitter/speaker should contact ISC organizers and the research paper chair as soon as possible to discuss different options.
  • The research paper sessions will be held from Monday, May 22, through Wednesday, May 24, 2023.
  • Every paper presenter needs to submit a short, pre-recorded summary video of the paper prior to the conference.
  • Presentation slides will be available within the event platform for registered attendees only.
  • Paper presenters need to be registered ISC 2023 participants. For accepted papers, one author is eligible for a complimentary conference participation pass.
  • Travel, accommodation, registration fees for other authors, and other such expenses will not be covered by the ISC organizers.

Conference Proceedings

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 2023. 

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 two extra pages 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

Presentation Materials for Attendees

The ISC organizers will make the presentation materials (short video and slides) available within the event platform for registered attendees only.

  • Abhinav Bhatele, University of Maryland, United States of America (Chair)
  • Jeff Hammond, Intel Corporation, United States of America (Deputy Chair)

Architecture, Networks, and Storage

  • Venkatram Vishwanath, Argonne National Laboratory, United States of America (Chair)
  • Sidharth Kumar, University of Alabama, United States of America
  • Zhiling Lan, Illinois Institute of Technology, United States of America
  • Preeti Malakar, Indian Institute of Technology Kanpur, India
  • François Tessier, ETH Zurich, Inria, France

HPC Algorithms & Applications

  • Cynthia Phillips, Sandia National Laboratories, (Chair)

Machine Learning, AI, & Quantum Computing

  • Bettina Heim, NVIDIA, Inc., Switzerland (Chair)

Performance Modeling, Evaluation, and Analysis

  • Marc Casas, Barcelona Supercomputing Center, Spain (Chair)
  • Ivy B. Peng, Lawrence Livermore National Laboratory, United States of America
  • Jean-Baptiste Besnard, ParaTools SAS, France
  • Tanzima Islam, Texas State University, United States of America
  • Scott Pakin, Los Alamos National Laboratory, United States of America
  • Kento Sato, RIKEN, Japan
  • Nathan Tallent, Pacific Northwest National Laboratory, United States of America
  • Guangming Tan, Institute of Computing Technology (ICT), China
  • Michele Weiland, EPCC - The University of Edinburgh, AHUG, United Kingdom

Programming Environments & Systems Software

  • Ivona Brandić, Vienna University of Technology, Austria (Chair)

 Contact the Research Papers Committee, if you have any questions.