Marionette: Data Structure Description and Management for Heterogeneous Computing
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915604014825472 |
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| author | Fernandes, Nuno dos Santos Tomás, Pedro Roma, Nuno Winklmeier, Frank Conde-Muíño, Patricia |
| author_facet | Fernandes, Nuno dos Santos Tomás, Pedro Roma, Nuno Winklmeier, Frank Conde-Muíño, Patricia |
| contents | Adapting large, object-oriented C++ codebases for hardware acceleration might be extremely challenging, particularly when targeting heterogeneous platforms such as GPUs. Marionette is a C++17 library designed to address this by enabling flexible, efficient, and portable data structure definitions. It decouples data layout from the description of the interface, supports multiple memory management strategies, and provides efficient data transfers and conversions across devices, all of this with minimal runtime overhead due to the compile-time nature of its abstractions. By allowing interfaces to be augmented with arbitrary functions, Marionette maintains compatibility with existing code and offers a streamlined interface that supports both straightforward and advanced use cases. This paper outlines its design, usage, and performance, including a CUDA-based case study demonstrating its efficiency and flexibility. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_04853 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Marionette: Data Structure Description and Management for Heterogeneous Computing Fernandes, Nuno dos Santos Tomás, Pedro Roma, Nuno Winklmeier, Frank Conde-Muíño, Patricia Distributed, Parallel, and Cluster Computing Adapting large, object-oriented C++ codebases for hardware acceleration might be extremely challenging, particularly when targeting heterogeneous platforms such as GPUs. Marionette is a C++17 library designed to address this by enabling flexible, efficient, and portable data structure definitions. It decouples data layout from the description of the interface, supports multiple memory management strategies, and provides efficient data transfers and conversions across devices, all of this with minimal runtime overhead due to the compile-time nature of its abstractions. By allowing interfaces to be augmented with arbitrary functions, Marionette maintains compatibility with existing code and offers a streamlined interface that supports both straightforward and advanced use cases. This paper outlines its design, usage, and performance, including a CUDA-based case study demonstrating its efficiency and flexibility. |
| title | Marionette: Data Structure Description and Management for Heterogeneous Computing |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2511.04853 |