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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Vydané v:	IEEE transactions on parallel and distributed systems Ročník 29; číslo 10; s. 2317 - 2332
Hlavní autori:	Al Farhan, Mohammed A., Keyes, David E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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