Eş zamanlı hesaplama ve veri yükü dengeleme için çizge/hiperçizge bölümleme modelleri


Cataloged from PDF version of article.Thesis (M.S.): Bilkent University, Department of Computer Engineering, İhsan Doğramacı Bilkent University, 2018.Includes bibliographical references (leaves 57-64).In the literature, several successful partitioning models and methods have been proposed and used for computational load balancing of irregularly sparse applications on distributed-memory architectures. However, the literature lacks partitioning models and methods that encode both computational and data load balancing of processors. In this thesis, we try to close this gap by proposing graph and hypergraph partitioning models and methods that simultaneously encode computational and data load balancing of processors. The validity of the proposed models and methods are tested on two widely-used irregularly sparse applications: parallel mesh simulations and parallel sparse matrix sparse matrix multiplication.by Mestan Fırat Çeliktuğ.M.S

Similar works

Full text


Bilkent University Institutional Repository

Last time updated on 16/01/2019

This paper was published in Bilkent University Institutional Repository.

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.