Conference Information
IWOMP 2021: International Workshop on OpenMP
https://www.iwomp.org/
Submission Date:
2021-05-21 Extended
Notification Date:
2021-06-14
Conference Date:
2021-09-15
Location:
Bristol, UK
Years:
17
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Call For Papers
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We solicit quality submissions of unpublished technical papers that detail innovative, original research and development related to OpenMP.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 2021 will be hosted by the High Performance Computing research group at the University of Bristol, UK.

Background

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. New features and extensions of the OpenMP 5.0 interface have taken major steps to provide control of the parallelism within the paradigms and complexity of modern C/C++ and Fortran programming languages. OpenMP enhancements range from operational aspects deep within the vector execution units, up through the cores and memory, and beyond, to offloading across accelerator devices.

Advances in technologies, such as multi-core 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.

OpenMP: Enabling Massive Node-Level Parallelism

We now have CPU-only nodes with 128 cores or even 160 cores (before we get started on hardware threads), and of course GPUs add to this too. This year’s theme highlights the massive node-level parallelism we now have available and papers relating to this theme are particularly welcome.

Topics

All topics related to parallelism in OpenMP are of interest, including:

    Vectorization
    Offloading to devices
    Memory model
    Memory policies and management
    Tasking
    Performance portability
    Runtime environment
    Performance analysis and modeling
    Tools
    Proposed OpenMP extensions
    OpenMP applications in any domain
        Scientific and numerical computations, machine learning, computer graphics, multimedia, information retrieval, optimization, text processing, data mining, finance, signal and image processing and video games.
Last updated by Dou Sun in 2021-05-16
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