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    UE GPU computing

    • Niveau d'étude

      Bac +5

    • ECTS

      6 crédits

    • Composante

      UFR PhITEM (physique, ingénierie, terre, environnement, mécanique)

    • Période de l'année

      Automne (sept. à dec./janv.)

    Description

    In this course, we will introduce parallel programming paradigms to the students in the context of applied mathematics. The students will learn to identify the parallel pattern in numerical algorithm. The key components that the course will focus on are : efficiency, scalability, parallel pattern, comparison of parallel algorithms, operational intensity and emerging programming paradigm. Trough different lab assignments, the students will apply the concepts of efficient parallel programming using Graphic Processing Unit. In the final project, the students will have the possibility to parallelize one of their own numerical application developed in a previous course.

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    Heures d'enseignement

    • UE GPU computing - CMCM18h
    • UE GPU computing - TPTP18h

    Pré-requis recommandés

    C or C++, Compiling, Data structures, Architecture, Concurrency

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    Période

    Semestre 9