Abstract
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.
Highlights
In this paper we describe a work motivated by the desire to understand the influence of concurrency and virtual memory to the performance of the system
As well as results of measurements and evaluation of overhead created by concurrency and virtual memory
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
Summary
In this paper we describe a work motivated by the desire to understand the influence of concurrency and virtual memory to the performance of the system. We have measured the overhead created by the multithreading in its lightestweight form called fibers. Fibers are used to provide concurrency on the application level. We wanted to find out how the virtual memory affects performance of both concurrent and serialized workloads. Accurate and fine-grained performance measurements on the low level of the system is challenging and requires taking into account a number of features of system and CPU. We have used a benefit of having of our own research operating system to create the “Clean RoomвЂкenvironment, in which we have eliminated interference of the measurements with other activities asynchronously going in the system
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