[id] => 12
[recorddate] => 2007:01:12:19:30:35
[lastupdate] => 2007:01:12:19:30:35
[type] => article
[place] => Oradea, Romania
[subject] => informatics - parallel processing
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[file] => ?f=12
[mime] => application/pdf
[size] => 142445
[pubname] => Oradea University Annals, Mathematics Fascicle
[pubinfo] => Oradea University Press
[pubkey] => ISSN 1221-1265
[workinfo] => VIII: 105-112, Zbl 1103.68975
[year] => 2001
[title] => Parallel processing of statistical data. C++ applications
[authors] => Lorentz JÄNTSCHI, Mihaela L. UNGUREŞAN
[abstract] =>
In this work we presented a model for parallel processing of statistical data. The model presented implement and comparatively test four versions obtained from three algorithms, which process a set of statistical data. The versions differ through communication mode; two are of serial type and two are of parallel type. At last algorithm that order data, was implemented also by three versions, which differ by ordering mechanism of data (list and tree). The programs were tested at a large set of data (more than 15.000 input fields, more than 19.000 output fields). A version of these programs (those labeled "csf") can run in parallel at the same files (one write, other read) even at non-based parallel systems. A comparative study for execution of these programs was give.
[keywords] => parallel processing; c++ applications