IWOMP 2023 Call For Papers

The International Workshop on OpenMP (IWOMP) is the annual workshop dedicated to the promotion and advancement of all aspects of parallel programming with OpenMP. This pioneering workshop has been attracting an international audience of leading academic and industrial experts since 2005 and is the premier forum to present and discuss issues, trends, recent research ideas, and results related to parallel programming with OpenMP.

We solicit quality submissions of unpublished technical papers that detail innovative, original research and development related to OpenMP.

IWOMP 2023 will be hosted by Bristol University, Bristol, United Kingdom and will be colocated with EuroMPI 2023.

Important Dates

Submission Deadline Friday, May 26 2023 (AoE)
Friday, May 12 2023 (AoE)
Acceptance Notifications Friday, June 9 2023 (AoE)
Friday, June 2 2023 (AoE)
Camera Ready Copy Deadline Friday, June 23 2023 (AoE)


As computing hardware has evolved from simple core reproduction to advanced SIMD units, deeper memories, and heterogeneous computing, OpenMP has also evolved and extended its application interface to harness new capabilities throughout the spectrum of hardware advances. The 5.0, 5.1 and 5.2 versions of the OpenMP specification have established OpenMP as the leading API for on-node heterogeneous parallelism that supports all versions of the C/C++ and Fortran base programming languages.

Advances in technologies, such as multicore processors and OpenMP devices (accelerators such as GPGPUs, DSPs or FPGAs), Multiprocessor Systems on a Chip (MPSoCs), and recent developments in OpenMP itself (e.g., metadirectives and variants for selecting device- and architecture-specific directives) present new opportunities and challenges for software and hardware developers. Recent advances in the C, C++ and Fortran base languages also offer interesting opportunities and challenges to the OpenMP programming model.

Theme for 2023:

OpenMP: Advanced Task-Based, Device and Compiler Programming


The topics include but are not limited to the following:

  • Accelerated computing and offloading to devices
  • Applications (in any domain) that rely on OpenMP
  • Data mining and analysis or text processing and OpenMP
  • Machine learning and OpenMP
  • Memory model
  • Memory policies and management
  • Performance analysis and modeling
  • Performance portability
  • Proposed OpenMP extensions
  • Runtime environment
  • Scientific and numerical computations
  • Tasking
  • Tools
  • Vectorization


Submitted papers for review should be limited to 12 pages (not counting references). Authors of accepted papers will be asked to prepare a final paper of up to 15 pages (including references).

Submitted papers should follow LNCS Guidelines


As in previous years, IWOMP 2023 will publish formal proceedings of the accepted papers in Springer’s Lecture Notes in Computer Science (LNCS) series.

Organizing Committee

General Co-Chair

  • Simon McIntosh-Smith, Bristol University
  • Michael Klemm, AMD & OpenMP ARB, Germany

Program Co-Chairs

  • Bronis R. de Supinski, Lawrence Livermore National Laboratory (LLNL)
  • Tom Deakin, University of Bristol

Publications Chair

  • Jannis Klinkenberg, RWTH Aachen University

Local Organisation and Registrations Chair

  • Tim Lewis, Independent

Program Committee

  • Eduard Ayguade, Technical University of Catalunya
  • Mark Bull, University of Edinburgh
  • Ludovic Capelli, EPCC
  • Sunita Chandrasekaran, University of Delaware
  • Florina Ciorba, University of Basel
  • Tom Deakin, University of Bristol
  • Johannes Doerfert, Argonne National Laboratory
  • Alex Duran, Intel
  • Deepak Eachempati, Hewlett Packard Enterprise
  • Jini Susan George, AMD
  • Mary Hall, University of Utah
  • Joachim Jenke, RWTH Aachen University
  • Jannis Klinkenberg, RWTH Aachen University
  • Michael Kruse, Argonne National Laboratory
  • Kelvin Li, IBM
  • Chunhua Liao, Lawrence Livermore National Laboratory
  • Stephen Olivier, Sandia National Laboratories
  • Swaroop Pophale, Oak Ridge National Laboratory
  • Mitsuhisa Sato, RIKEN Center for Computational Science
  • Tom Scogland, Lawrence Livermore National Laboratory
  • Xavier Teruel, Barcelona Supercomputing Center