IWOMP 2026 Call For Papers

The theme for IWOMP 2026 is “OpenMP: Adaptability for Heterogeneous Multi‑Device Systems.”

The OpenMP API has been instrumental in advancing parallel programming, enabling portability across both traditional and emerging heterogeneous computing systems. As the standard continues to introduce new capabilities, the OpenMP API continues to evolve, offering solutions to the growing complexity of high-performance computing (HPC) environments. The workshop welcomes papers on how the OpenMP API balances ease of use and performance, particularly in the context of heterogeneous systems, exascale computing, and real-time workloads, with an emphasis on adaptability across heterogeneous and multi-device ecosystems. IWOMP 2026 aims to bring together researchers, practitioners, and tool developers to discuss innovations, experiences, and future directions for OpenMP in an era where flexibility, performance, and portability must coexist across an ever-expanding range of computing architectures.

Background

As computing hardware has evolved from simple cores to advanced SIMD units, deeper memories, and heterogeneous computing, the OpenMP API has also evolved, extending 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 model for on-node heterogeneous parallelism that supports all versions of the C/C++ and Fortran base programming languages. This enables developers to target increasingly diverse and complex computing platforms.

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. The growing prevalence of multi-device nodes and tightly integrated heterogeneous components further underscores the need for adaptable and scalable programming abstractions. Recent advances in the C, C++, and Fortran base languages also offer interesting opportunities and challenges to the OpenMP programming model. Among others, the more complex applications of OpenMP tasks, usage of heterogeneous computing platforms, and performance portability across different architectures are topics of interest.

Topics

The topics include, but are not limited to, the following:

• Accelerated computing and offloading to devices
• Implementation of OpenMP for new devices and architectures
• 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