Parallel ADI Algorithms on the MICA Architecture
碩士 === 國立臺灣大學 === 資訊工程學系 === 85 === Many important scientific and engineering problems reduce to solving partial-differential equations. The first order partial-differential equation is a trivial problem for us because its finite difference leads...
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ndltd-TW-085NTU003920262016-07-01T04:15:37Z http://ndltd.ncl.edu.tw/handle/68057485778767136108 Parallel ADI Algorithms on the MICA Architecture 在可重新規劃互連網路的平行電腦上有效地實現交錯方向演算法 Wang, Jong Rong 王忠榮 碩士 國立臺灣大學 資訊工程學系 85 Many important scientific and engineering problems reduce to solving partial-differential equations. The first order partial-differential equation is a trivial problem for us because its finite difference leads to a tridiagonal system. The second order partial differential equation, unfortunately, does not yield a tridiagonal system directly. However, if we apply the Alternating Direction Implicit (ADI) algorithm, we can decompose the second order partial differential equation into two tridiagonal systems and the computation time can be reduced considerably. In solving ADI on a parallel architecture, we would like to choose an architecture that fits the algorithm, since it is a problem known to pose difficulties for many architectures. Instead of static architectures, such as hypercube, mesh or tree, another flexible architecture, Mapped Interconnection-Cached Architecture (MICA), has been introduced by Lyuu and Schenfeld. The architecture combines large reconfigurable networks and small, fast crossbar switches called interconnection caches. A reconfigurable network is one whose topology can be altered to suit the desired communication pattern if needed. Hence the most important improvement of the architecture is that it minimizes the movement of packets and can scale to thousands of processing elements (PEs). Yuh-Dauh 呂育道 --- 1997 學位論文 ; thesis 34 zh-TW |
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碩士 === 國立臺灣大學 === 資訊工程學系 === 85 === Many important scientific and engineering problems reduce to solving
partial-differential equations. The first order partial-differential
equation is a trivial problem for us because its finite difference leads
to a tridiagonal system. The second order partial differential equation,
unfortunately, does not yield a tridiagonal system directly. However,
if we apply the Alternating Direction Implicit (ADI) algorithm, we can
decompose the second order partial differential equation into two tridiagonal
systems and the computation time can be reduced considerably. In solving ADI
on a parallel architecture, we would like to choose an
architecture that fits the
algorithm, since it is a problem known to pose difficulties for
many architectures.
Instead of static architectures, such as hypercube, mesh or tree, another
flexible architecture, Mapped Interconnection-Cached Architecture (MICA),
has been introduced by Lyuu and Schenfeld. The architecture combines large
reconfigurable networks and small, fast crossbar switches
called interconnection
caches. A reconfigurable network is one whose topology can be altered to suit
the desired communication pattern if needed. Hence the most
important improvement
of the architecture is that it minimizes the movement of
packets and can scale to
thousands of processing elements (PEs).
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author2 |
Yuh-Dauh |
author_facet |
Yuh-Dauh Wang, Jong Rong 王忠榮 |
author |
Wang, Jong Rong 王忠榮 |
spellingShingle |
Wang, Jong Rong 王忠榮 Parallel ADI Algorithms on the MICA Architecture |
author_sort |
Wang, Jong Rong |
title |
Parallel ADI Algorithms on the MICA Architecture |
title_short |
Parallel ADI Algorithms on the MICA Architecture |
title_full |
Parallel ADI Algorithms on the MICA Architecture |
title_fullStr |
Parallel ADI Algorithms on the MICA Architecture |
title_full_unstemmed |
Parallel ADI Algorithms on the MICA Architecture |
title_sort |
parallel adi algorithms on the mica architecture |
publishDate |
1997 |
url |
http://ndltd.ncl.edu.tw/handle/68057485778767136108 |
work_keys_str_mv |
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