On the optimal number of subdomains for hyperbolic problems on parallel computers - Info and Reading Options
By Paul Fischer
"On the optimal number of subdomains for hyperbolic problems on parallel computers" was published by Institute for Computer Applications in Science and Engineering, NASA Langley Research Center in 1996 - Hampton, Va, it has 12 pages and the language of the book is English.
“On the optimal number of subdomains for hyperbolic problems on parallel computers” Metadata:
- Title: ➤ On the optimal number of subdomains for hyperbolic problems on parallel computers
- Author: Paul Fischer
- Language: English
- Number of Pages: 12
- Publisher: ➤ Institute for Computer Applications in Science and Engineering, NASA Langley Research Center
- Publish Date: 1996
- Publish Location: Hampton, Va
“On the optimal number of subdomains for hyperbolic problems on parallel computers” Subjects and Themes:
- Subjects: ➤ Computational complexity - Hyperbolic Differential equation - Parallel processing (Electronic computers) - Spectral geometry
Edition Specifications:
- Pagination: i, 12 p. :
Edition Identifiers:
- The Open Library ID: OL17593539M - OL9172556W
- Online Computer Library Center (OCLC) ID: 40998754
AI-generated Review of “On the optimal number of subdomains for hyperbolic problems on parallel computers”:
"On the optimal number of subdomains for hyperbolic problems on parallel computers" Description:
The Open Library:
Abstract: "The computational complexity for parallel implementation of multidomain spectral methods is studied to derive the optimal number of subdomains, q, and spectral order, n, for numerical solution of hyperbolic problems. The complexity analysis is based upon theoretical results which predict error as a function of (q,n) for problems having wave-like solutions. These are combined with a linear communication cost model to study the impact of communication overhead and imposed granularity on the optimal choice of (q,n) as a function of the number of processors. It is shown that, for present day multicomputers, the impact of communication overhead does not significantly shift (q,n) from the optimal uni-processor values, and that the effects of granularity are more important."
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