Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7599
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dc.contributor.authorLeong, Monk-Pingen_US
dc.contributor.authorCheung, Chi-Chiuen_US
dc.contributor.authorCheung, Chin-Wangen_US
dc.contributor.authorWan, Polly P.M.en_US
dc.contributor.authorLeung, Ivan K.H.en_US
dc.contributor.authorYeung, Winnie M.M.en_US
dc.contributor.authorYuen, Wing-Seungen_US
dc.contributor.authorChow, Kenneth S.K.en_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.contributor.authorLeong, Philip H.W.en_US
dc.date.accessioned2023-03-27T03:26:05Z-
dc.date.available2023-03-27T03:26:05Z-
dc.date.issued2005-
dc.identifier.citationComputer, 2005, Vol. 38 (10), pp. 70 - 77en_US
dc.identifier.issn00189162-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7599-
dc.description.abstractTo effectively utilize parallel computing, developers need software that reduces the complexity of the process as well as tools to support integration of parallel and desktop machines. The Clustertech parallel environement (CPE) is a C++ library that facilitates of large-scale parallel applications. This environment offers unprecedented efficiency in developing applications and porting them to a wide range of parallel-cluster and symmetric-multiprocessing machines. CPE's object-oriented apprach facilitates information as well as code reuse. © 2005 IEEE.en_US
dc.language.isoenen_US
dc.relation.ispartofComputeren_US
dc.titleCPE: A parallel library for financial engineering applicationsen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1109/MC.2005.337-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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