Browsing by Author "Royuela, Sara"
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- Combining the tasklet model with OpenMPPublication . Pinho, Luís Miguel; Quiñonez, Eduardo; Royuela, SaraPrevious workshops have discussed a proposal to augment Ada with fine-grained parallelism, based on the notion of tasklets, a lightweight parallel entity. Recent works have shown the convergence of this model with the OpenMP tasking model and have proposed their coexistence. In this paper we provide a status of the existent works, and describe how these models could be combined.
- Converging safety and high-performance domains: Integrating OpenMP into AdaPublication . Royuela, Sara; Pinho, Luís Miguel; Quiñones, EduardoThe use of parallel heterogeneous embedded architectures is needed to implement the level of performance required in advanced safety-critical systems. Hence, there is a demand for using high level parallel programming models capable of efficiently exploiting the performance opportunities. In this paper, we evaluate the incorporation of OpenMP, a parallel programming model used in HPC, into Ada, a language spread in safety-critical domains. We demonstrate that the execution model of OpenMP is compatible with the recently proposed Ada tasklet model, meant to exploit fine-grain structured parallelism. Moreover, we show the compatibility of the OpenMP and tasklet models, enabling the use of OpenMP directives in Ada to further exploit unstructured parallelism and heterogeneous computation. Finally, we state the safety properties of OpenMP and analyze the interoperability between the OpenMP and Ada runtimes. Overall, we conclude that OpenMP can be effectively incorporated into Ada without jeopardizing its safety properties.
- Enabling Ada and OpenMP runtimes interoperability through template-based executionPublication . Royuela, Sara; Pinho, Luís Miguel; Quiñones, EduardoThe growing trend to support parallel computation to enable the performance gains of the recent hardware architectures is increasingly present in more conservative domains, such as safety-critical systems. Applications such as autonomous driving require levels of performance only achievable by fully leveraging the potential parallelism in these architectures. To address this requirement, the Ada language, designed for safety and robustness, is considering to support parallel features in the next revision of the standard (Ada 202X). Recent works have motivated the use of OpenMP, a de facto standard in high-performance computing, to enable parallelism in Ada, showing the compatibility of the two models, and proposing static analysis to enhance reliability. This paper summarizes these previous efforts towards the integration of OpenMP into Ada to exploit its benefits in terms of portability, programmability and performance, while providing the safety benefits of Ada in terms of correctness. The paper extends those works proposing and evaluating an application transformation that enables the OpenMP and the Ada runtimes to operate (under certain restrictions) as they were integrated. The objective is to allow Ada programmers to (naturally) experiment and evaluate the benefits of parallelizing concurrent Ada tasks with OpenMP while ensuring the compliance with both specifications.
- OpenMP tasking model for Ada: safety and correctnessPublication . Royuela, Sara; Martorell, Xavier; Quiñones, Eduardo; Pinho, Luís MiguelThe safety-critical real-time embedded domain increasingly demands the use of parallel architectures to fulfill performance requirements. Such architectures require the use of parallel programming models to exploit the underlying parallelism. This paper evaluates the applicability of using OpenMP, a widespread parallel programming model, with Ada, a language widely used in the safety-critical domain. Concretely, this paper shows that applying the OpenMP tasking model to exploit fine-grained parallelism within Ada tasks does not impact on programs safeness and correctness, which is vital in the environments where Ada is mostly used. Moreover, we compare the OpenMP tasking model with the proposal of Ada extensions to define parallel blocks, parallel loops and reductions. Overall, we conclude that the OpenMP tasking model can be safely used in such environments, being a promising approach to exploit fine-grain parallelism in Ada tasks, and we identify the issues which still need to be further researched.
- Safe Parallelism: Compiler Analysis Techniques for Ada and OpenMPPublication . Royuela, Sara; Martorell, Xavier; Quiñones, Eduardo; Miguel Pinho, LuisThere is a growing need to support parallel computation in Ada to cope with the performance requirements of the most advanced functionalities of safety-critical systems. In that regard, the use of parallel programming models is paramount to exploit the benefits of parallelism. Recent works motivate the use of OpenMP for being a de facto standard in high-performance computing for programming shared memory architectures. These works address two important aspects towards the introduction of OpenMP in Ada: the compatibility of the OpenMP syntax with the Ada language, and the interoperability of the OpenMP and the Ada runtimes, demonstrating that OpenMP complements and supports the structured parallelism approach of the tasklet model. This paper addresses a third fundamental aspect: functional safety from a compiler perspective. Particularly, it focuses on race conditions and considers the fine-grain and unstructured capabilities of OpenMP. Hereof, this paper presents a new compiler analysis technique that: (1) identifies potential race conditions in parallel Ada programs based on OpenMP or Ada tasks or both, and (2) provides solutions for the detected races.
- The AMPERE Project: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimizationPublication . Quiñones, Eduardo; Royuela, Sara; Scordino, Claudio; Gai, Paolo; Pinho, Luis Miguel; Nogueira, Luís; Rollo, Jan; Cucinotta, Tommaso; Biondi, Alessandro; Hamann, Arne; Ziegenbein, Dirk; Saoud, Hadi; Soulat, Romain; Forsberg, Björn; Benini, Luca; Mandò, Gianluca; Rucher, LuigiThe high-performance requirements needed to implement the most advanced functionalities of current and future Cyber-Physical Systems (CPSs) are challenging the development processes of CPSs. On one side, CPSs rely on model-driven engineering (MDE) to satisfy the non-functional constraints and to ensure a smooth and safe integration of new features. On the other side, the use of complex parallel and heterogeneous embedded processor architectures becomes mandatory to cope with the performance requirements. In this regard, parallel programming models, such as OpenMP or CUDA, are a fundamental brick to fully exploit the performance capabilities of these architectures. However, parallel programming models are not compatible with current MDE approaches, creating a gap between the MDE used to develop CPSs and the parallel programming models supported by novel and future embedded platforms.The AMPERE project will bridge this gap by implementing a novel software architecture for the development of advanced CPSs. To do so, the proposed software architecture will be capable of capturing the definition of the components and communications described in the MDE framework, together with the non-functional properties, and transform it into key parallel constructs present in current parallel models, which may require extensions. These features will allow for making an efficient use of underlying parallel and heterogeneous architectures, while ensuring compliance with non-functional requirements, including those on real-time performance of the system.