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

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發(fā)表于 2025-3-21 20:07:13 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Optimizing HPC Applications with Intel Cluster Tools
副標題Hunting Petaflops
編輯Alexander Supalov,Andrey Semin,Christopher Dahnken
視頻videohttp://file.papertrans.cn/704/703343/703343.mp4
概述Optimizing HPC Applications with Intel? Cluster Tools combines an easygoing and informal style with a systematic methodology of parallel program optimization..Real-life examples convey the best known
圖書封面Titlebook: Optimizing HPC Applications with Intel Cluster Tools; Hunting Petaflops Alexander Supalov,Andrey Semin,Christopher Dahnken Book‘‘‘‘‘‘‘‘ 201
描述.Optimizing HPC Applications with Intel? Cluster Tools .takes the reader on a tour of the fast-growing area of high performance computing and the optimization 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 and compute clusters..The book focuses on optimization for clusters consisting of the Intel? Xeon processor, but the optimization methodologies also apply 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..
出版日期Book‘‘‘‘‘‘‘‘ 2014
版次1
doihttps://doi.org/10.1007/978-1-4302-6497-2
isbn_softcover978-1-4302-6496-5
isbn_ebook978-1-4302-6497-2
copyrightAlexander Supalov and Andrey Semin and Christopher Dahnken and Michael Klemm 2014
The information of publication is updating

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發(fā)表于 2025-3-22 00:18:38 | 只看該作者
Addressing System Bottlenecks, application in a system. Even if the application is well optimized and it may seem that no additional improvements are possible by tuning it on the other levels, it still has a bottleneck, and that bottleneck is in the system the program runs on. The tuning starts and ends at the system level.
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Addressing Application Bottlenecks: Distributed Memory, the Message Passing Interface (MPI).. By its very nature, the distributed memory paradigm is concerned with communication. Some people consider all communication as .that is, something intrinsically harmful that needs to be eliminated. We tend to call it “investment.” Indeed, by moving data around
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Application Design Considerations,ks. The whole process followed the top-down software optimization framework explained in Chapter 3. The general approach to the tuning process is based on a quantitative analysis of execution resources required by an application and how these match the capabilities of the platform the application is
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nitially, patients were treated at hospitals for grave illnesses or terrible accidents; however, due to significant strides in medicine, the emerging hospitalized patient is now more commonly treated for chronic illnesses. For these patients, repeated hospital visits slowly deplete their vasculature
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