Subjects covered:
Threading, acceleratorsCourse Description:
OpenACC is an emerging standard for parallel computing designed to ease the use of accelerators like GPU, or coming many-core processors; OpenACC is real-world implementation of parallel programming concepts for accelerators that could be part of a future OpenMP standard.
Content:
presentation of the OpenACC programming model

    hands-on session using CAPS/HMPP compiling toolchain

Hands-on sessions will use a local cluster at Maison de la Simulation. The OpenACC part of the course will be given by CAPS Entreprise.Learning outcome: 
After this courses, participants should know the syntax of OpenACC directives, how to apply them to obtain efficient parallel codes. They will also understand the importance of memory layout.Pre-requisites:
Good knowledge in C or Fortran programming language, some knowledge about parallel programming.
GPGPU programming knowledge is not required.Agenda
    March 5        Morning – CUDA Basics

    Introduction to GPU computing

    Nvidia GPU architectures

    CUDA programming model

    CUDA API

    CUDA debugging

Afternoon – OpenACC (1/2)
OpenACC Overview & compilers

    OpenACC Programming Model

    Managing data with OpenACC

March 6
       Morning – OpenACC (2/2)

    OpenACC loop constructs

    Asynchronism with OpenACC

    OpenACC runtime API

        Afternoon – OpenHMPP Introduction

     What is in HMPP , what is not in OpenACC

     OpenHMPP compilation model

     Driving the code generation & gridifications

     Automatic unroll, split, jam, etc. transformations

     Computing on multiple GPUs

     OpenHMPP API for C, C++ and Fortran

https://events.prace-ri.eu/event/278/