Scilab ebooks generator#

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Scilab ebooks generator#

Parameters for the GPU code are computed offline during an evaluation phase. SCILAB REFERENCE MANUAL Scilab Group INRIA Meta2 Project/ENPC Cergrene INRIA - UnitВґe De Recherche De Rocquencourt - Projet Meta2 Domaine De Voluceau - Rocquencourt - BP 105 - 78153 Le Chesnay Cedex (France) Email: . Image Processing & Computer Vision Scilab Code Generator Signal acquisition & instrument control Functional Mock-Up Interface (FMI) for Model-Exchange & Co-Simulation.

This вЂњcross-JITвЂќ has the ability to either use the host static code or generate optimized code for the GPU depending on the input set. More specifically, we integrated a вЂњcross-JITвЂќ (Just In Time Compiler) capability in Scilab.

In summary, we adapted Scilab to use the GPU version of libraries such as cuBLAS from NVIDIA and also worked on a parallel version able to use MPI in the script language. In the H4H project, we ported Scilab, which usually runs on general purpose processors, to a heterogeneous platform composed of general purpose processors and GPU accelerators. The Scilab infrastructure is composed of a front-end parser, to process the input language, and a back-end which makes intensive use of multiple standard libraries, such as BLAS, to perform required operations. Such platform offers a lot of performance optimization opportunities. The platform is made with parallel nodes composed of a GPU accelerator connected to a standard processor. In this article we show the work done to port Scilab on an heterogeneous platform used in the H4H project.