Running large‐scale CFD applications on Intel‐KNL–based clusters-Reference-Cited by-同舟云学术

Running large‐scale CFD applications on Intel‐KNL–based clusters

Published:2017-11-14 Issue:11 Volume:86 Page:699-716
ISSN:0271-2091
Container-title:International Journal for Numerical Methods in Fluids
language:en
Short-container-title:Int J Numer Meth Fluids

Author:

Tiwari Ananta¹,Cauble‐Chantrenne Allyson¹,Jundt Adam¹,Peraza Joshua¹,Löhner Rainald²,Baum Joseph D.³,Carrington Laura¹

Affiliation:

1. EP Analytics, Inc 12121 Scripps Summit Drive, Suite 130 San Diego CA 92131 USA

2. CFD Center, Department of Computational and Data Science George Mason University Fairfax VA 22030‐4444 USA

3. Applied Simulations, Inc 1211 Pine Hill Rd McLean VA 22101 USA

Funder

Air Force Office of Scientific Research

Publisher

Wiley

Subject

Applied Mathematics,Computer Science Applications,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/fld.4474

Reference67 articles.

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2. PerazaJ TiwariA LaurenzanoM et al.Understanding the performance of stencil computations on Intel's Xeon Phi. In: 2013 IEEE International Conference Cluster Computing (CLUSTER); Indianapolis IN USA: IEEE;2013:1‐5.

3. BarnesT CookB DeslippeJ et al.Evaluating and optimizing the NERSC workload on Knights Landing. In: 7th International Workshop on Performance Modeling Benchmarking and Simulation of High Performance Computer Systems Supercomputing Conference; Lake City UT USA: IEEE;2016:43‐53.

4. BorovskaP IvanovaD.Code optimization and scaling of the astrophysics software gadget on Intel Xeon Phi. In: Partnership for Advanced Computing in Europe (PRACE) Vol. 136;2014.

5. DeslippeJ daJornadaFH Vigil‐FowlerD BillerA ChelikowskyJR LouieSG.GW calculations of materials on the Intel Xeon‐Phi architecture. In: APS Meeting Abstracts.Baltimore MD USA;2016.

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