Scalar Optimization and Usability

Domeika, Max

doi:10.1016/b978-0-7506-8539-9.00005-6

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Optimization Of the Cpu Implementation1

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2015

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“…n n cord × n n span , respectively. Scalar optimizations (see [3] and [2] for Blocking the ml loop did not improve further the function performance. The achieved speed-up was equal to 1.54× compared to the original version.…”

Section: Optimization Of the Cpu Implementationmentioning

confidence: 95%

Accelerating low-fidelity aerodynamic codes on multi- and many-core architectures

Chrust

Laurendeau

Ostiguy³

2015

J Supercomput

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Vortex lattice and panel methods belong to a broad family of aerodynamic codes based on potential flow theory. They are used in preliminary aerodynamic studies in early stages of aircraft design where hundreds of thousands candidate configurations are analyzed. In this paper, we describe their efficient implementation on modern multiand many-core architectures. We show how to bridge the 'ninja gap', defined as the performance gap between an unoptimized C/C++ code and best optimized CPU code. We port the Vortex Lattice Method to a Graphics Processing Unit using the OpenACC standard. An elegant solution for implementation of data movements for C++ classes is also presented.

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Section: Optimization Of the Cpu Implementationmentioning

confidence: 95%