Reinventing HPC

ISC 2022 Call for Research Papers


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.

Attendance requires a Conference Pass. Please click here to view our registration fees.


Chair - Ana Lucia Varbanescu

 Research Papers Chair Ana Lucia Varbanescu, University of Twente, The Netherlands
 Research Papers Deputy Chair Abhinav Bhatele, University of Maryland, USA
 Proceedings Chair Piotr Luszczek, University of Tennessee Knoxville, USA
 Proceedings Deputy Chair Marc Baboulin, Université Paris-Saclay, France


Accepted Research Papers
  • A Motivating Case Study on Code Variant Selection by Reinforcement Learning
  • A Subset of the CERN Virtual Machine File System: Fast Delivering of Complex Software Stacks for Supercomputing Resources
  • Accelerated Simulated Quantum Annealing with GPU and Tensor Cores
  • Accelerating MPI All-to-All Communication with Online Compression on Modern GPU Clusters
  • Comparative Evaluation of Performance Profiling Tools for Parallel Programs
  • Dynamic task fusion for a block-structured finite volume solver over a dynamically adaptive mesh with local time stepping
  • Efficient Application of Hanging-Node Constraints for Matrix-Free High-Order FEM Computations on CPU and GPU
  • "Hey CAI" - Enhancing User Productivity through a Conversational AI Enabled User Interface for HPC Tools
  • Hy-Fi: Hybrid Five Dimensional Parallel DNN Training on High-Performance GPU Clusters
  • Hybrid Parallel ILU Preconditioner in Linear Solver Library GaspiLS
  • LLM: Realizing Low-Latency Memory by Exploiting Embedded Silicon Photonics for Irregular Workloads
  • m-Cubes: An efficient and portable implementation of multi-dimensional integration for GPUs
  • MAPredict: Static Analysis Driven Memory Access Prediction Framework for Modern CPUs
  • NVIDIA's Quantum network congestion control technology and its impact on application performance
  • Rapid Execution Time Estimation for Heterogeneous Memory Systems through Differential Tracing
  • Remote OpenMP Offloading
  • SU3\_Bench on Programmable Integrated Unified Memory Architecture (PIUMA) and How it Differs From Standard NUMA CPUs
  • Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements
ISC 2022 Call for Research Papers


Submitted research papers will be reviewed by the ISC 2022 Research Papers Committee, which is headed by Ana Lucia Varbanescu, University of Twente, The Netherlands, as Chair, and Abhinav Bhatele, University of Maryland, USA as Deputy Chair.

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.


Important Dates

  Abstract Submission Deadline closed
  Full Submission Deadline closed
  Author Rebuttals January 21 – 26, 2022
  Notification of Acceptance February 11, 2022
  Camera-Ready Submission March 25, 2022 11:59pm AoE
  Research Paper Sessions Monday May 30 – Wednesday June 1, 2022
  Final Presentation Slides in PDF due May 10, 2022



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, accelerators, and chips for HPC
  • Heterogeneous system design
  • Network technology & architecture
  • Domain-specific architectures
  • Memory technologies & systems
  • File systems & storage architecture
  • Databases & data-intensive applications
  • In situ data analysis
  • Big data and data science at scale
  • Exascale computing
  • Novel algorithms for HPC
  • Algorithmic-based fault tolerance
  • Communication-reducing & synchronization-reducing algorithms
  • Time-space trade-offs in algorithms and applications
  • High-performance applications
  • Energy-efficient algorithms & apps
  • Convergence of simulations & big data
  • Scalability on future architectures
  • Workflow management
  • Coupled simulations
  • Implementations on GPUs & accelerators
Programming Environments & Systems Software   Machine Learning, AI, & Emerging Technologies
  • 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
  • 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
  • Quantum computing architecture, algorithms, and software
  • 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 and 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 (The Call for Research Papers is closed!)


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 (January 21 – 26, 2022):

  • 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 11, 2022):

  • 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



  • ISC 2022 is planned as an in-person conference from May 29 to June 2, 2022 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 2022 in Hamburg, Germany. In case circumstances that the submitter/speaker cannot control prevent them 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 30 through Wednesday, June 1, 2022.
  • All research paper sessions will be streamed and recorded. Presentations will be available within the event platform for registered attendees only.
  • Paper presenters need to be registered ISC 2022 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.



All accepted research papers will be published in the Springer Lecture Notes in Computer Science (LNCS) seriesThere 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 2022.

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



The ISC organizers will make the presentation materials available within the event platform for registered attendees only.

  • 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