Trace-based simulation
In this article, we are going to thoroughly explore the topic of Trace-based simulation and its impact on modern society. For decades, Trace-based simulation has been the subject of debate, research and development, influencing multiple aspects of daily life. Over the years, Trace-based simulation has evolved and adapted to new trends and technologies, becoming a relevant topic of interest to a wide spectrum of people. In this sense, it is crucial to understand the role that Trace-based simulation plays in our current society, as well as analyze its implications at a social, political, economic and cultural level. Throughout this article, we will address various perspectives and opinions about Trace-based simulation, with the aim of offering a global and complete vision of this topic that is so relevant today.
In computer science, trace-based simulation refers to system simulation performed by looking at traces of program execution or system component access with the purpose of performance prediction.
Trace-based simulation may be used in a variety of applications, from the analysis of solid state disks to the message passing performance on very large computer clusters.
Traced-based simulators usually have two components: one that executes actions and stores the results (i.e. traces) and another which reads the log files of traces and interpolates them to new (and often more complex) scenarios.
For instance, in the case of large computer cluster design, the execution takes place on a small number of nodes, and traces are left in log files. The simulator reads those log files and simulates performance on a much larger number of nodes, thus providing a view of the performance of very large applications, based on the execution traces on a much smaller number of nodes.
See also
References
- ^ a b Software Technologies for Embedded and Ubiquitous Systems edited by Sunggu Lee and Priya Narasimhan 2009 ISBN 3642102646 page 28
- ^ a b c Languages and Compilers for Parallel Computing edited by Keith Cooper, John Mellor-Crummey and Vivek Sarkar 2011 ISBN 3642195946 pages 202-203
- ^ Petascale Computing: Algorithms and Applications by David A. Bader 2007 ISBN 1584889098 pages 435-435
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