@inproceedings{Ann2015,
Author = {Anna Korotaeva, Wolfgang Nebel},
Title = {Impact of Data Sharing on Co-Running Embedded Applications in Multi-Core System},

Year = {2015},
Pages = {716-720},
Month = {3},
Booktitle = {23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2015), 4–6 March 2015, Turku, Finland},
type = {inproceedings},
note = {Abstract—This work studies utilization of shared caches by
applications running concurrently on different cores of
multicore systems. Knowledge about program contention due
to shared resources is important for various design problems
concerning multic},
Abstract = {Abstract—This work studies utilization of shared caches by
applications running concurrently on different cores of
multicore systems. Knowledge about program contention due
to shared resources is important for various design problems
concerning multicore architectures. It is needed for power
estimation, scheduling of parallel applications and design of
shared memories. Moreover, deep understanding of programs
behavior is especially needed for the development of accurate
models that are able to predict misses caused by shared
resources in multicore systems.
We present a methodology that is able to examine the
interaction of applications in shared caches. Our experiments
show a positive impact of data sharing by minimizing misses in
shared L2 caches over a wide range of L2 cache sizes for
applications from the Mediabench suite. Up to 25% lower
misses in the last level cache can be observed for embedded
applications, when data are allowed to be shared among
programs running on different cores.}
}
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