Interactive Parallelization of Embedded Real-Time Applications Starting from Open-Source Scilab & Xcos

International audienceIn this paper, we introduce the workflow of interactive parallelization for optimizing embedded real-time applications for multicore architectures. In our approach, the real-time applications are written in the Scilab high-level mathematical & scientific programming language or with a Scilab Xcos block-diagram ap-proach. By using code generation and code parallelization technol-ogy combined with an interactive GUI, the end user can map appli-cations to the multicore processor iteratively. The approach is eval-uated on two use cases: (1) an image processing application written in Scilab and (2) an avionic system modeled in Xcos. Using the workflow, an end-to-end model-based approach targeting multicore processors is enabled resulting in a significant reduction in devel-opment effort and high application speedup. The workflow de-scribed in this paper is developed and tested within the EU-funded ARGO project focused on WCET-Aware Parallelization of Model-Based Applications for Heterogeneous Parallel Systems

Using Polyhedral Techniques to Tighten WCET Estimates of Optimized Code: A Case Study with Array Contraction

International audienceThe ARGO H2020 European project aims at developing a Worst-Case Execution Time (WCET)-aware parallelizing compilation toolchain. This toolchain operates on Scilab and XCoS inputs, and targets ScratchPad memory (SPM)-based multi-cores. Data-layout and loop transformations play a key role in this flow as they improve SPM efficiency and reduce the number of accesses to shared main memory. In this paper, we study how these transformations impact WCET estimates of sequential codes. We demonstrate that they can bring significant improvements of WCET estimates (up to 2.7×) provided that the WCET analysis process is guided with automatically generated flow annotations obtained using polyhedral counting techniques

Interactive Parallelization of Embedded Real-Time Applications Starting from Open-Source Scilab & Xcos

International audienceIn this paper, we introduce the workflow of interactive parallelization for optimizing embedded real-time applications for multicore architectures. In our approach, the real-time applications are written in the Scilab high-level mathematical & scientific programming language or with a Scilab Xcos block-diagram ap-proach. By using code generation and code parallelization technol-ogy combined with an interactive GUI, the end user can map appli-cations to the multicore processor iteratively. The approach is eval-uated on two use cases: (1) an image processing application written in Scilab and (2) an avionic system modeled in Xcos. Using the workflow, an end-to-end model-based approach targeting multicore processors is enabled resulting in a significant reduction in devel-opment effort and high application speedup. The workflow de-scribed in this paper is developed and tested within the EU-funded ARGO project focused on WCET-Aware Parallelization of Model-Based Applications for Heterogeneous Parallel Systems