Automatic NUMA characterization using Cbench

Authors:
Ryan K. Braithwaite;Wu-chun Feng;Patrick S. McCormick
Affiliations:
Los Alamos National Laboratory, Los Alamos, NM, USA;Virginia Tech, Blacksburg, VA, USA;Los Alamos National Laboratory, Los Alamos, NM, USA
Venue:
ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
Year:
2012

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Abstract

Clusters 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 costs when accessing non-local data. In this work-in-progress paper, we present extensions to the Cbench Scalable Testing Framework for analyzing main memory and PCIe data-access performance in modern NUMA architectures. The information provided by this tool will be of use for task scheduling, performance modeling, and evaluation of NUMA systems.