Measuring overhead of concurrency and virtual memory
Modelirovanie i analiz informacionnyh sistem, Tome 25 (2018) no. 2, pp. 165-173.

Voir la notice de l'article provenant de la source Math-Net.Ru

We present the methodology, as well as results of measurements and evaluation of overhead created by concurrency and virtual memory. A special measurement technique and testbed were used to obtain the most accurate data from the experiments. This technique is focused on the measurements of the overall performance degradation that is introduced by concurrency in the form of lightweight user-level threads on IA-32 processors. We have obtained and compared results of the experiments in an environment with and without enabled virtual memory to understand what loss of performance is caused by virtual memory in itself, and how it affects the overhead associated with concurrency. The results showed that overhead of concurrency outweighs virtual memory overhead and that there is a complex dependency between them. The article is published in the author’s wording.
Keywords: virtual memory, concurrency, overhead, performance, measurements.
@article{MAIS_2018_25_2_a1,
     author = {Yauhen Klimiankou},
     title = {Measuring overhead of concurrency and virtual memory},
     journal = {Modelirovanie i analiz informacionnyh sistem},
     pages = {165--173},
     publisher = {mathdoc},
     volume = {25},
     number = {2},
     year = {2018},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/MAIS_2018_25_2_a1/}
}
TY  - JOUR
AU  - Yauhen Klimiankou
TI  - Measuring overhead of concurrency and virtual memory
JO  - Modelirovanie i analiz informacionnyh sistem
PY  - 2018
SP  - 165
EP  - 173
VL  - 25
IS  - 2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/MAIS_2018_25_2_a1/
LA  - en
ID  - MAIS_2018_25_2_a1
ER  - 
%0 Journal Article
%A Yauhen Klimiankou
%T Measuring overhead of concurrency and virtual memory
%J Modelirovanie i analiz informacionnyh sistem
%D 2018
%P 165-173
%V 25
%N 2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/MAIS_2018_25_2_a1/
%G en
%F MAIS_2018_25_2_a1
Yauhen Klimiankou. Measuring overhead of concurrency and virtual memory. Modelirovanie i analiz informacionnyh sistem, Tome 25 (2018) no. 2, pp. 165-173. http://geodesic.mathdoc.fr/item/MAIS_2018_25_2_a1/

[1] A. Agarwal, J. Hennessy, M. Horowitz, “Cache Performance of Operating System and Multiprogramming Workloads”, ACM Trans. Comput. Syst., 6:4 (1988), 393–431 | DOI

[2] F. M. David, J. C. Carlyle, R. H. Campbell, “Context Switch Overheads for Linux on ARM Platforms”, Proceedings of the 2007 Workshop on Experimental Computer Science, ExpCS'07, ACM, New York, NY, USA, 2007

[3] INFOBrief: Dell PowerEdge 2650, Dell Inc., 2004

[4] G. Hunt, J. Larus, “Singularity: Rethinking the Software Stack”, ACM SIGOPS Operating Systems Review, 41:2 (2007), 37–49 | DOI

[5] C. Li, C. Ding, K. Shen, “Quantifying the Cost of Context Switch”, Proceedings of the 2007 Workshop on Experimental Computer Science, ExpCS'07, ACM, New York, NY, USA, 2007

[6] IA-32 Intel\textsuperscript{\textregistered} Architecture Software Developer's Manual, v. 3, System Programming Guide, Intel Corporation, 2002 (245472-007)

[7] L. McVoy, C. Staelin, “Lmbench: Portable Tools for Performance Analysis”, Proceedings of the USENIX Annual Technical Conference (San Diego, California, USA, January 22–26, 1996), 279–294

[8] J. C. Mogul, A. Borg, “The Effect of Context Switches on Cache Performance”, SIGPLAN Not., 26:4 (1991), 75–84 | DOI