A Block SPP Algorithm for Multidimensional Tridiagonal Equations with Optimal Message Vector Length
A parallel strategy for solving multidimensional tridiagonal equations is investigated in this paper. We present in detail an improved version of single parallel partition (SPP) algorithm in conjunction with message vectorization, which aggregates several communication messages into one to reduce th...
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2009-06-01
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Series: | Journal of Algorithms & Computational Technology |
Online Access: | https://doi.org/10.1260/174830109787913967 |
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doaj-a2f63dae237b4c9e9c15b944afd876b52020-11-25T03:06:42ZengSAGE PublishingJournal of Algorithms & Computational Technology1748-30181748-30262009-06-01310.1260/174830109787913967A Block SPP Algorithm for Multidimensional Tridiagonal Equations with Optimal Message Vector LengthHong Guo0Zhao-Hua Yin1Li Yuan2 LSEC and Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics & Systems Science, Chinese Academy of Sciences, Beijing 100190, P.R. China National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, P.R. China LSEC and Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics & Systems Science, Chinese Academy of Sciences, Beijing 100190, P.R. ChinaA parallel strategy for solving multidimensional tridiagonal equations is investigated in this paper. We present in detail an improved version of single parallel partition (SPP) algorithm in conjunction with message vectorization, which aggregates several communication messages into one to reduce the communication cost. We show the resulting block SPP can achieve good speedup for a wide range of message vector length (MVL), especially when the number of grid points in the divided direction is large. Instead of only using the largest possible MVL, we adopt numerical tests and modeling analysis to determine an optimal MVL so that significant improvement in speedup can be obtained.https://doi.org/10.1260/174830109787913967 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hong Guo Zhao-Hua Yin Li Yuan |
spellingShingle |
Hong Guo Zhao-Hua Yin Li Yuan A Block SPP Algorithm for Multidimensional Tridiagonal Equations with Optimal Message Vector Length Journal of Algorithms & Computational Technology |
author_facet |
Hong Guo Zhao-Hua Yin Li Yuan |
author_sort |
Hong Guo |
title |
A Block SPP Algorithm for Multidimensional Tridiagonal Equations with Optimal Message Vector Length |
title_short |
A Block SPP Algorithm for Multidimensional Tridiagonal Equations with Optimal Message Vector Length |
title_full |
A Block SPP Algorithm for Multidimensional Tridiagonal Equations with Optimal Message Vector Length |
title_fullStr |
A Block SPP Algorithm for Multidimensional Tridiagonal Equations with Optimal Message Vector Length |
title_full_unstemmed |
A Block SPP Algorithm for Multidimensional Tridiagonal Equations with Optimal Message Vector Length |
title_sort |
block spp algorithm for multidimensional tridiagonal equations with optimal message vector length |
publisher |
SAGE Publishing |
series |
Journal of Algorithms & Computational Technology |
issn |
1748-3018 1748-3026 |
publishDate |
2009-06-01 |
description |
A parallel strategy for solving multidimensional tridiagonal equations is investigated in this paper. We present in detail an improved version of single parallel partition (SPP) algorithm in conjunction with message vectorization, which aggregates several communication messages into one to reduce the communication cost. We show the resulting block SPP can achieve good speedup for a wide range of message vector length (MVL), especially when the number of grid points in the divided direction is large. Instead of only using the largest possible MVL, we adopt numerical tests and modeling analysis to determine an optimal MVL so that significant improvement in speedup can be obtained. |
url |
https://doi.org/10.1260/174830109787913967 |
work_keys_str_mv |
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1724673006634008576 |