Static Analysis to Enhance Programmability and Performance in OmpSs-2

Type of publication
Publication in Conference Proceedings/Workshop

Adrian Munera, Sara Royuela, Roger Ferrer, Raul Peñacoba, Eduardo Quiñones. ISC.2020.

Conference / Journal
ISC High Performance 2020 International Workshops
Springer, Cham
Year of publication
Place of publication
Cham, Switzerland

Adrian Munera, Sara Royuela, Roger Ferrer, Raul Peñacoba, Eduardo Quiñones. Static Analysis to Enhance Programmability and Performance in OmpSs-2.


Task-based parallel programming models based on compiler directives have proved their effectiveness at describing parallelism in High-Performance Computing (HPC) applications. Recent studies show that cutting-edge Real-Time applications, such as those for unmanned vehicles, can successfully exploit these models. In this scenario, OpenMP is a de facto standard for HPC and is being studied for Real-Time systems due to its time-predictability and delimited functional safety. However, changes in OpenMP take time to be standardized because it sweeps along a large community. OmpSs, instead, is a task-based model for fast-prototyping that has been a forerunner of OpenMP since its inception. OmpSs-2, its successor, aims at the same goal and defines several features that can be introduced in future versions of OpenMP. This work targets compiler-based optimizations to enhance the programmability and performance of OmpSs-2. Regarding the former, we present an algorithm to determine the data-sharing attributes of OmpSs-2 tasks. Regarding the latter, we introduce a new algorithm to automatically release OmpSs-2 task dependencies before a task has completed. This work evaluates both algorithms in a set of well-known benchmarks and discusses their applicability to the current and future specifications of OpenMP.

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