Scalability of GlennICE in a Parallel Environment NASA Glenn Research Center

Format:

Book

Conference/Event

Author/Creator:

Sabri, Zaid, author.

Contributor:

Porter, Christopher

Conference Name:

International Conference on Icing of Aircraft, Engines, and Structures (2023-06-20 : Vienna, Austria)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2023

Summary:

The Glenn Icing Computational Environment (GlennICE) is a computational tool designed to calculate ice growth on complex three-dimensional geometries using the input from a user-supplied computational fluid dynamics (CFD) solution for the geometry of interest. The most significant developments in the advancement of GlennICE have been investigating the convergence of the collection efficiency, efficiently finding trajectories, and improving the refinement methodology. Such developments have increased the efficiency of GlennICE for practical engineering application. With the increasing demand for applying GlennICE for more memory-intensive problems, the scalability of GlennICE has yet to be investigated. This paper is aimed at presenting a method to benchmark the scalability of GlennICE utilizing a relevant engineering problem within a parallel environment. This leads to the final goal of investigating whether an increase in the number of processors utilized results in a linear speedup of the GlennICE software

Notes:

Vendor supplied data

Publisher Number:

2023-01-1482

Access Restriction:

Restricted for use by site license