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A static scheduling approach to enable safety-critical OpenMP applications

机译:静态调度方法可实现对安全至关重要的OpenMP应用程序

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Parallel computation is fundamental to satisfy the performance requirements of advanced safety-critical systems. OpenMP is a good candidate to exploit the performance opportunities of parallel platforms. However, safety-critical systems are often based on static allocation strategies, whereas current OpenMP implementations are based on dynamic schedulers. This paper proposes two OpenMP-compliant static allocation approaches: an optimal but costly approach based on an ILP formulation, and a sub-optimal but tractable approach that computes a worst-case makespan bound close to the optimal one.
机译:并行计算是满足高级安全关键系统的性能要求的基础。 OpenMP是利用并行平台性能机会的理想人选。但是,对安全至关重要的系统通常基于静态分配策略,而当前的OpenMP实现则基于动态调度程序。本文提出了两种与OpenMP兼容的静态分配方法:一种基于ILP公式的最优但昂贵的方法,以及一种次优但易处理的方法,该方法计算的最坏情况下的制造跨度接近最优方法。

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