Proběhlo

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In this tutorial we present an asynchronous data flow programming model for Partitioned Global Address Spaces (PGAS) as an alternative to the programming model of MPI. GASPI, which stands for Global Address Space Programming Interface, is a partitioned global address space API. The GASPI API is designed as a C/C++/Fortran library and focused on three key objectives: scalability, flexibility and fault tolerance.

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The course discusses Intel’s Many Integrated Core (MIC) architecture. It covers various programming and optimisation techniques for Intel  Xeon Phi coprocessors. We will mainly focus on the KNC version of the chip. The hands-on sessions are done on the Intel Xeon Phi based Salomon system at the IT4Innovations National Supercomputing Center.

The afternoon of the second day will be devoted to a plenum session (see below) with invited talks about Intel Xeon Phi experience on Salomon.

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The EU funded Performance Optimization and Productivity Centre of Excellence (POP) offers services in the area of performance analysis and performance optimization. Therefore, POP mainly uses performance analysis tools developed by POP partners, namely Extrae, Paraver, Dimemas, Score-P, Cube and Scalasca. These tools are used to generate uniform performance audits for parallel applications to provide a good overview of the applications execution.

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Applications need to be effectively parallelised, using techniques such as MPI message-passing and OpenMP multithreading, to fully exploit the capabilities of modern systems for high-performance computing. The course introduces the open-source community-developed Score-P instrumentation and measurement infrastructure, and the Scalasca and Vampir tools, to provide a practical basis for portable performance analysis of parallel applications.