@inproceedings{73d553b085794af5a37d553205d655d8,
title = "A Methodology for Co-Location Aware Application Performance Modeling in Multicore Computing",
abstract = "As multicore processor architectures are now prevalent in server nodes of parallel and distributed computing systems, it has become important to characterize the performance of applications run on these architectures. This study investigates the performance degradation an application experiences from memory interference due to other applications colocated on cores of the same multicore processor. We propose a methodology for designing models that are capable of utilizing varying amounts of information relating to an application and its co-located applications to predict the application's execution time performance degradation due to co-location. We evaluate the models sing several application co-location scenarios based on real world test data from two scientific benchmark suites on two server class Intel Xeon multicore processors.",
keywords = "application co-location, benchmarking, memory interference, multicore processors, performance modeling, resource management",
author = "Daniel Dauwe and Eric Jonardi and Ryan Friese and Sudeep Pasricha and Maciejewski, {Anthony A.} and Bader, {David A.} and Siegel, {Howard Jay}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 29th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2015 ; Conference date: 25-05-2015 Through 29-05-2015",
year = "2015",
month = sep,
day = "29",
doi = "10.1109/IPDPSW.2015.38",
language = "English (US)",
series = "Proceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "434--443",
booktitle = "Proceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2015",
address = "United States",
}