Computational Fluid and Solid Mechanics 2001
DOI: 10.1016/b978-008043944-0/50990-2
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Scalable bifurcation analysis algorithms for large parallel applications

Abstract: Abstract:A set of stability analysis algorithms have been developed for analysis of largescale nonlinear applications on parallel computers, and applied to 2D and 3D incompressible flow applications. These analysis tools include several continuation algorithms for locating and tracking bifurcations and a linear stability analysis capability. _. .-.-The continuation algorithms are developed to be readily linked to application codes that already use Newton's method.

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Cited by 4 publications
(3 citation statements)
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“…With our simplifications near homogeneity, we directly compose an emergent pattern and exploit the principles of the method of parallel computation to switch over to a new branch. We then use a pseudo arclength continuation approach for branch tracing as presented by Salinger et al (2002) which is also easily scalable to large systems (Salinger et al, 2001).…”
Section: Related Workmentioning
confidence: 99%
“…With our simplifications near homogeneity, we directly compose an emergent pattern and exploit the principles of the method of parallel computation to switch over to a new branch. We then use a pseudo arclength continuation approach for branch tracing as presented by Salinger et al (2002) which is also easily scalable to large systems (Salinger et al, 2001).…”
Section: Related Workmentioning
confidence: 99%
“…This capability has been verified and validated for numerous fluid flow applications and has demonstrated parallel scaling to millions of unknowns [12,13], and is briefly described in Section 2.3. The LOCA (Library of Continuation Algorithms) library [14] has also been interfaced with the MPSalsa code for directly calculating bifurcations [15]. A Newtonbased algorithm in LOCA is used to converge directly to the instability, converging the parameter value and solution simultaneously.…”
Section: 0604x10 5 =mentioning
confidence: 99%
“…Because the bifurcation analysis is facilitated by time-invariant inputs, we bypassed the motion detection stage, directly providing a synthetic, yet plausible, directional response to the MT neurons. We obtained solutions for systematic variations of the parameters through numerical continuation, an efficient family of techniques to follow solutions across parameter changes and for which multiple techniques and software have been developed (Doedel, 1981; Salinger et al, 2001; Henderson, 2002; Dhooge et al, 2003). …”
Section: Modelmentioning
confidence: 99%