会议信息
IWOMP 2024: International Workshop on OpenMP
https://www.iwomp.org/
截稿日期:
2024-06-21
通知日期:
2024-07-12
会议日期:
2024-09-23
会议地点:
Perth, Australia
届数:
20
浏览: 13896   关注: 0   参加: 0

征稿
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We solicit quality submissions of unpublished technical papers that detail innovative, original research and development related to OpenMP.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 2024 will be hosted by the Pawsey Supercomputing Research Centre in Perth, Australia.

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. The 5.0, 5.1, 5.2 and 6.0 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 2024:

Advancing OpenMP for Future Accelerators

Future HPC systems will include tighter integration of multiple compute devices, such as CPUs, GPUs, FPGAs and even QPUs. Therefore, programming model support for handling multiple levels of parallelism and managing data across memory spaces is growing in importance. Further, the diversity in compute architectures makes programming mechanisms that enable portability and performance portability 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

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
最后更新 Dou Sun 在 2024-06-08
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