Optimizations of Unstructured Aerodynamics Computations for Many-core Architectures

We investigate several state-of-the-practice shared-memory optimization techniques applied to key routines of an unstructured computational aerodynamics application with irregular memory accesses. We illustrate for the Intel Knights Landing processor, as a representative of the processors in contemp...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems Jg. 29; H. 10; S. 2317 - 2332
Hauptverfasser:	Al Farhan, Mohammed A., Keyes, David E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Aerodynamics AVX-512 computational aerodynamics Computational modeling Computer architecture Computer memory data-level parallelism Floating point arithmetic Hardware Intel Xeon Phi Kernel Knights Landing Landing Microprocessors Optimization Optimization techniques Parallel processing Performance optimizations Routines SIMD Supercomputers thread-level parallelism unstructured meshes
ISSN:	1045-9219, 1558-2183
Online-Zugang:	Volltext
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