Type of Document Master's Thesis Author Braithwaite, Ryan Karl Author's Email Address firstname.lastname@example.org URN etd-02062012-121115 Title NUMA Data-Access Bandwidth Characterization and Modeling Degree Master of Science Department Computer Science and Applications Advisory Committee
Advisor Name Title Feng, Wu-Chun Committee Chair McCormick, Patrick Committee Member Ribbens, Calvin J. Committee Member Keywords
- Performance Modeling
Date of Defense 2012-01-23 Availability unrestricted AbstractClusters of seemingly homogeneous compute nodes are increasingly heterogeneous within each
node due to replication and distribution of node-level subsystems. This intra-node heterogeneity
can adversely affect program execution performance by inflicting additional data-access
performance penalties when accessing non-local data. In many modern NUMA architectures,
both memory and I/O controllers are distributed within a node and CPU cores are logically
divided into “local” and “remote” data-accesses within the system. In this thesis a method for
analyzing main memory and PCIe data-access characteristics of modern AMD and Intel NUMA
architectures is presented. Also presented here is the synthesis of data-access performance models
designed to quantify the effects of these architectural characteristics on data-access bandwidth.
Such performance models provide an analytical tool for determining the performance impact of
remote data-accesses for a program or access pattern running in a given system. Data-access
performance models also provide a means for comparing the data-access bandwidth and attributes
of NUMA architectures, for improving application performance when running on these
architectures, and for improving process/thread mapping onto CPU cores in these architectures.
Preliminary examples of how programs respond to these data-access bandwidth characteristics are
also presented as motivation for future work.
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