On the Interaction of High-Performance Network Protocol Stacks with Multicore Architectures

dc.contributor.authorChunangad Narayanaswamy, Ganeshen
dc.contributor.committeechairFeng, Wu-chunen
dc.contributor.committeememberBalaji, Pavanen
dc.contributor.committeememberNikolopoulos, Dimitrios S.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-03-14T20:34:48Zen
dc.date.adate2008-05-20en
dc.date.available2014-03-14T20:34:48Zen
dc.date.issued2008-04-18en
dc.date.rdate2008-05-20en
dc.date.sdate2008-05-02en
dc.description.abstractMulticore architectures have been one of the primary driving forces in the recent rapid growth in high-end computing systems, contributing to its growing scales and capabilities. With significant enhancements in high-speed networking technologies and protocol stacks which support these high-end systems, a growing need to understand the interaction between them closely is realized. Since these two components have been designed mostly independently, there tend to have often serious and surprising interactions that result in heavy asymmetry in the effective capability of the different cores, thereby degrading the performance for various applications. Similarly, depending on the communication pattern of the application and the layout of processes across nodes, these interactions could potentially introduce network scalability issues, which is also an important concern for system designers. In this thesis, we analyze these asymmetric interactions and propose and design a novel systems level management framework called SIMMer (Systems Interaction Mapping Manager) that automatically monitors these interactions and dynamically manages the mapping of processes on processor cores to transparently maximize application performance. Performance analysis of SIMMer shows that it can improve the communication performance of applications by more than twofold and the overall application performance by 18%. We further analyze the impact of contention in network and processor resources and relate it to the communication pattern of the application. Insights learnt from these analyses can lead to efficient runtime configurations for scientific applications on multicore architectures.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-05022008-143712en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05022008-143712/en
dc.identifier.urihttp://hdl.handle.net/10919/32113en
dc.publisherVirginia Techen
dc.relation.haspartGanesh-etd.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectMulticore Architecturesen
dc.subjectHigh-Performance Networkingen
dc.subjectProcess-to-Core Mappingen
dc.subjectNetwork Contentionen
dc.subjectRuntime Adaptationen
dc.titleOn the Interaction of High-Performance Network Protocol Stacks with Multicore Architecturesen
dc.typeThesisen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen
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