Proběhlo

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Collecting and understanding performance and efficiency characteristics of applications is key for High Performance Computing. During this one day course with hands-on you will be equipped with advanced information about performance and efficiency metrics and how to easily obtain them using selected Intel tools. We will pick the pearls of each tool and advise you how to extract information about your application quickly and how to explain the extracted information for your application and target architecture.

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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.