Conference Information
IWOMP 2024: International Workshop on OpenMP
https://www.iwomp.org/Submission Date: |
2024-06-21 |
Notification Date: |
2024-07-12 |
Conference Date: |
2024-09-23 |
Location: |
Perth, Australia |
Years: |
20 |
Viewed: 15031 Tracked: 0 Attend: 0
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 We solicit quality submissions of unpublished technical papers that detail innovative, original research and development related to OpenMP.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 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
Last updated by Dou Sun in 2024-06-08
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