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Documents authored by Munera, Adrian

Artifact
Software
DOI: 10.4230/artifacts.22922
GuardianOMP

Authors: Adrian Munera and Sara Royuela

Abstract
Cite as

Adrian Munera, Sara Royuela. GuardianOMP (Software, GuardianOMP Tool for task-based replication with OpenMP). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@misc{dagstuhl-artifact-22922,
   title = {{GuardianOMP}}, 
   author = {Munera, Adrian and Royuela, Sara},
   note = {Software, version 1.0., This software has been developed with funds from the HiPART project, with reference PID2023-148117NA-I00 and financed by MICIU/AEI /10.13039/501100011033 and FEDER, UE, and the LIONESS project, with Contract No. 4000141286/23/NL/GLC/ov under a program of, and funded by the European Space Agency. (visited on 2025-02-27)},
   url = {https://anonymous.4open.science/r/GuardianOMP-4233/README.md},
   doi = {10.4230/artifacts.22922},
}
Artifact
Software
DOI: 10.4230/artifacts.22924
LLVM for adaptive parallelism with dynamic variants

Authors: Adrian Munera, Guerau Dasca, and Sara Royuela

Abstract
Cite as

Adrian Munera, Guerau Dasca, Sara Royuela. LLVM for adaptive parallelism with dynamic variants (Software, LLVM for adaptive parallelism). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@misc{dagstuhl-artifact-22924,
   title = {{LLVM for adaptive parallelism with dynamic variants}}, 
   author = {Munera, Adrian and Dasca, Guerau and Royuela, Sara},
   note = {Software, version 1.0., This software has been developed with funds from the LIONESS project, with Contract No. 4000141286/23/NL/GLC/ov under a program of, and funded by the European Space Agency, and the RisingStars project, under the Marie Skłodowska-Curie grant agreement No 873120 from the European Union’s Horizon 2020 research and innovation programme., swhId: \href{https://archive.softwareheritage.org/swh:1:dir:a43d82b3d564a56f1a25347ff9a0beec81def2d5;origin=https://gitlab.bsc.es/ppc-bsc/research/c3po2024-dynamicvariants;visit=swh:1:snp:47f4fb5cee1ee150c654a85a25beab1dde96908a;anchor=swh:1:rev:46ceb084445cd70172f08d5698b78d272873efe9}{\texttt{swh:1:dir:a43d82b3d564a56f1a25347ff9a0beec81def2d5}} (visited on 2025-02-27)},
   url = {https://gitlab.bsc.es/ppc-bsc/research/c3po2024-dynamicvariants},
   doi = {10.4230/artifacts.22924},
}
Document
DOI: 10.4230/OASIcs.PARMA-DITAM.2025.6
HiPART: High-Performance Technology for Advanced Real-Time Systems

Authors: Sara Royuela, Adrian Munera, Chenle Yu, and Josep Pinot

Published in: OASIcs, Volume 127, 16th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 14th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2025)

Abstract
Cyber-physical systems (CPS) attempt to meet real-time and safety requirements by using hypervisors that provide isolation via virtualisation and Real-Time Operating Systems that manage the concurrency of system tasks. However, the operating system’s (OS) decisions may hinder the efficiency of tasks because it needs more awareness of their specific intricacies. Hence, one critical limitation to efficiently developing CPSs is the lack of tailored parallel programming models that can harness the capabilities of advanced heterogeneous architectures while meeting the requirements integral to CPSs, such as real-time behaviour and safety requirements. While conventional HPC languages, like OpenMP and CUDA, cannot accommodate critical non-functional properties, safety languages, like Rust and Ada, are limited in their capabilities to exploit complex systems efficiently. On top of that, accessibility to the programming task is essential to making the system usable to different domain experts. HiPART tackles these challenges by developing a comprehensive framework holistically addressing efficiency, interoperability, reliability, and sustainability. The HiPART framework, based on OpenMP, provides tailored support for (1) real-time behaviour and safety requirements and (2) the efficient exploitation of advanced parallel and heterogeneous processor architectures. This support is exposed to users through extensions to the OpenMP specification and its implementation in the LLVM framework, including the compiler and the OpenMP runtime library. With this framework, HiPART will contribute to realising more capable and reliable autonomous systems across various domains, from autonomous mobility to space exploration.
Cite as

Sara Royuela, Adrian Munera, Chenle Yu, and Josep Pinot. HiPART: High-Performance Technology for Advanced Real-Time Systems. In 16th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 14th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2025). Open Access Series in Informatics (OASIcs), Volume 127, pp. 6:1-6:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{royuela_et_al:OASIcs.PARMA-DITAM.2025.6,
  author =	{Royuela, Sara and Munera, Adrian and Yu, Chenle and Pinot, Josep},
  title =	{{HiPART: High-Performance Technology for Advanced Real-Time Systems}},
  booktitle =	{16th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 14th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2025)},
  pages =	{6:1--6:15},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-363-8},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{127},
  editor =	{Cattaneo, Daniele and Fazio, Maria and Kosmidis, Leonidas and Morabito, Gabriele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.PARMA-DITAM.2025.6},
  URN =		{urn:nbn:de:0030-drops-229108},
  doi =		{10.4230/OASIcs.PARMA-DITAM.2025.6},
  annote =	{Keywords: Cyber-physical systems, OpenMP, Parallel and heterogeneous architectures, Efficiency, Adaptability, Interoperability, Real-time, Resilience, Reliability}
}
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