<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Reddy, R.</style></author><author><style face="normal" font="default" size="100%">Lastovetsky, A.</style></author><author><style face="normal" font="default" size="100%">Alonso, P.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Heterogeneous PBLAS: A Set of Parallel Basic Linear Algebra Subprograms for Heterogeneous Computational Clusters</style></title></titles><keywords><keyword><style  face="normal" font="default" size="100%">HeteroMPI</style></keyword><keyword><style  face="normal" font="default" size="100%">HeteroScaLAPACK</style></keyword><keyword><style  face="normal" font="default" size="100%">mpC</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2008</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.csi.ucd.ie/UserFiles/publications/ucd-csi-2008-2.pdf</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">https://hcl.ucd.ie/system/files/UCD-CSI-2008-2-HeteroPBLAS.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">School of Computer Science and Informatics, University College Dublin</style></publisher><pages><style face="normal" font="default" size="100%">19</style></pages><abstract><style face="normal" font="default" size="100%">We present a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PBLAS and provides optimized parallel basic linear algebra subprograms for Heterogeneous Computational Clusters. We present the user interface and the software hierarchy of the first research implementation of HeteroPBLAS. This is the first step towards the development of a parallel linear algebra package for Heterogeneous Computational Clusters. We demonstrate the efficiency of the HeteroPBLAS programs on a homogeneous computing cluster and a heterogeneous computing cluster.
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