Column-based partitioning for data in high dimensional space

Several scientific applications such as 3D Jacobi Iteration [17] and LQCD [5] demand high computing power, and run on parallel systems. Such applications mostly operate on high dimensional data, and partitioning them into smaller units would help reduce their execution time considerably. Many algori...

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Bibliographic Details
Main Authors: Ekasit Kijsipongse, Sudsanguan Ngamsuriyaroj
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/24383
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Institution: Mahidol University