Background

As computing hardware has evolved from simple cores to advanced SIMD units, deeper memories, and heterogeneous computing, the OpenMP API 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 the OpenMP API as the leading programming language 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 the OpenMP API 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 2025:

OpenMP: Balancing Productivity and Performance Portability

The OpenMP API has been instrumental in advancing parallel programming, enabling portability across both traditional and emerging computing systems. As the standard continues introducing new capabilities, the OpenMP API continues to evolve, offering solutions to the growing complexity of high-performance computing (HPC) environments.

The workshop welcomes topics on how OpenMP API strikes a balance between ease of use and maximizing performance, particularly in the context of heterogeneous systems, exascale computing, and real-time workloads.

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