Titlebook: Optimizing HPC Applications with Intel Cluster Tools; Hunting Petaflops Alexander Supalov,Andrey Semin,Christopher Dahnken Book‘‘‘‘‘‘‘‘ 201

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Optimizing HPC Applications with Intel Cluster Tools978-1-4302-6497-2

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Book‘‘‘‘‘‘‘‘ 2014mization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interface (MPI) and OpenMP for multi-threading to achieve the ultimate goal of high performance at low power consumption on enterprise-class workstations

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Addressing Application Bottlenecks: Distributed Memory,ommunication as .that is, something intrinsically harmful that needs to be eliminated. We tend to call it “investment.” Indeed, by moving data around in the right manner, you hope to get more computational power in return. The main point, then, is to optimize this investment so that your returns are maximized.

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Addressing Application Bottlenecks: Microarchitecture,ecution flow. Furthermore, a certain understanding of assembly language is needed to reflect the findings back onto the original source code. Each processor model will also have its own microarchitectural characteristics that have to be considered when writing efficient software.

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Application Design Considerations,d on a quantitative analysis of execution resources required by an application and how these match the capabilities of the platform the application is run on. The blueprint analysis of platform capabilities and system-level tuning considerations were provided in Chapter 4, based on several system architecture metrics discussed in Chapter 2.

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Book‘‘‘‘‘‘‘‘ 2014pply to the Intel? Xeon Phi? coprocessor and heterogeneous clusters mixing both architectures. Besides the tutorial and reference content, the authors address and refute many myths and misconceptions surrounding the topic. The text is augmented and enriched by descriptions of real-life situations..

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