2013 IEEE International Symposium on Parallel &Amp; Distributed Processing, Workshops and PHD Forum 2013
DOI: 10.1109/ipdpsw.2013.49
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CHiP: A Profiler to Measure the Effect of Cache Contention on Scalability

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Cited by 6 publications
(3 citation statements)
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“…Throttling concurrency to improve throughput was also suggested by Raman et al [68] and Pusukuri et al [65]. Chandra et al [13] and Brett et al [6] analyzed the impact of inter-thread cache contention. Heirman et al [43] suggested intentional undersubscription of threads as a response to competition for shared caches.…”
Section: Related Workmentioning
confidence: 96%
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“…Throttling concurrency to improve throughput was also suggested by Raman et al [68] and Pusukuri et al [65]. Chandra et al [13] and Brett et al [6] analyzed the impact of inter-thread cache contention. Heirman et al [43] suggested intentional undersubscription of threads as a response to competition for shared caches.…”
Section: Related Workmentioning
confidence: 96%
“…* amenable to; subject to * Let thruput(n) be the thruput function for n threads thruput(n) vs n*thruput (1) • Socket-level resources LLC residency and DRAM channel bandwidth 5 Lock implementations themselves are sometimes a causative factor for collapse, for instance via induced coherence traffic on lock metadata or where lock algorithmic overheads increase with the number of contending or participating threads. 6 Contended locks just happen to be a convenient and opportunistic vehicle with which to restrict concurrency. Competition for core-level resources such as pipelines typically starts to manifest when the number of ready threads exceeds the number of cores, and more than one thread is running on a core.…”
Section: Taxonomy Of Shared Resourcesmentioning
confidence: 99%
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