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+ IWOMP 2022
+ 18th International Workshop on OpenMP
+ September 21-23, 2022
+ University of Tennessee, Chattanooga, TN USA
+ https://www.iwomp.org

+ Submission deadline: May *20*, 2022 (AoE)
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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We solicit quality submissions of unpublished technical papers that detail innovative, original research and development related to OpenMP.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 2022 will be hosted by the University of Tennessee, Chattanooga and will be colocated with EuroMPI 2022.

BACKGROUND
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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 2022: OpenMP in a Modern World
From Multi-device Support to Meta Programming
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As most HPC systems are now comprised not only of multicore CPUs but also feature multiple accelerators, such as GPGPUs and FPGAs, programming model support for handling multiple devices and multiple levels of parallelism within a node is growing in importance. Further, the growing diversity in node designs makes programming mechanisms that enable seamless optimization for multiple node types are also essential. This year's theme highlights OpenMP extensions, implementations and applications that facilitate using such systems and papers that detail them are particularly welcome.

TOPICS
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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

SUBMISSIONS
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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).

+ Submission deadline: Friday, May 20 2022 (AoE)
+ Acceptance Notifications: Friday, June 17 2022 (AoE)
+ Camera Ready Copy Deadline: Friday, July 8 2022 (AoE)
+ Submission Link: https://easychair.org/conferences/?conf=iwomp2022
+ Check for Updates: https://www.iwomp.org

Submitted papers should follow LNCS Guidelines found at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

PROCEEDINGS
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As in previous years, IWOMP 2022 will publish formal proceedings of the accepted papers in Springer's Lecture Notes in Computer Science (LNCS) series.

ORGANIZING COMMITTEE
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General Chair: Michael Klemm, AMD & OpenMP Architecture Review Board (OpenMP ARB)
Program Co-Chairs: Bronis R. de Supinski, Lawrence Livermore National Laboratory (LLNL)
Jannis Klinkenberg, RWTH Aachen University
Local Arrangements Chairs: Anthony Skjellum, University of Tennessee at Chattanooga
Purushotham Bangalore, University of Alabama
Tutorial Chairs: Henry Jin, NASA Ames Research Center
Publications Chair: Brandon Neth, University of Arizona
Registration Chair: Tim Lewis

STEERING COMMITTEE
------------------
Matthias S. Müller, RWTH Aachen University, Germany (Chair)
Eduard Ayguadé, BSC, Universitat Politècnica de Catalunya, Spain
Mark Bull, EPCC, University of Edinburgh, UK
Barbara Chapman, Hewlett Packard Enterprise, USA
Rudolf Eigenmann, University of Delaware, USA
William Gropp, University of Illinois, USA
Michael Klemm, AMD & OpenMP ARB, Germany
Kalyan Kumaran, Argonne National Laboratory, USA
Simon McIntosh-Smith, University of Bristol, UK
Dieter an Mey, RWTH Aachen University, Germany
Kent Milfeld, TACC, USA
Stephen L. Olivier, Sandia National Laboratories, USA
Ruud van der Pas, Oracle, USA
Alistair Rendell, Flinders University, Australia
Mitsuhisa Sato, RIKEN Center for Computational Science, Japan
Sanjiv Shah, Intel, USA
Oliver Sinnen, University of Auckland, New Zealand
Josemar Rodrigues de Souza, SENAI Unidade CIMATEC, Brazil
Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA
Christian Terboven, RWTH Aachen University, Germany
Matthijs van Waveren, OpenMP ARB

PROGRAM COMMITEE
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Eduard Ayguade, Technical University of Catalunya
Mark Bull, University of Edinburgh
Florina Ciorba, University of Basel
Sunita Chandrasekaran, University of Delaware
Tom Deakin, University of Bristol
Johannes Doerfert, Argonne National Laboratory
Alex Duran, Intel
Deepak Eachempati, Hewlett Packard Enterprise
Jini Susan George, AMD
Sheikh Ghafoor, Tennessee Tech University
Oscar Hernandez, NVIDIA
Paul Kelly, Imperial College London
Michael Kruse, Argonne National Laboratory
Kelvin Li, IBM
Chunhua Liao, Lawrence Livermore National Laboratory
Georgios Markomanolis, CSC
Stephen Olivier, Sandia National Laboratories
Swaroop Pophale, Oak Ridge National Laboratory
Joachim Protze, RWTH Aachen University
Mitsuhisa Sato, RIKEN Center for Computational Science
Tom Scogland, Lawrence Livermore National Laboratory
Xavier Teruel, Barcelona Supercomputing Center
Terry Wilmarth, Intel