_ _    _ _____  ___   __                       
 __      _(_) | _(_)___ / ( _ ) / /_   ___ ___  _ __ ___  
 \ \ /\ / / | |/ / | |_ \ / _ \| '_ \ / __/ _ \| '_ ` _ \ 
  \ V  V /| |   <| |___) | (_) | (_) | (_| (_) | | | | | |
   \_/\_/ |_|_|\_\_|____/ \___/ \___(_)___\___/|_| |_| |_|

Trace-based simulation

In today's world, Trace-based simulation is a topic that has gained great relevance and has generated a wide debate in society. With the advancement of technology and globalization, Trace-based simulation has become a key element that impacts different aspects of daily life. From politics to economics, through culture and education, Trace-based simulation has managed to transform and shape the way we interact and develop in today's world. This is why it is imperative to understand the importance and implications of Trace-based simulation in our daily lives, as well as analyze possible solutions and alternatives to address it effectively.

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

  1. ^ a b Software Technologies for Embedded and Ubiquitous Systems edited by Sunggu Lee and Priya Narasimhan 2009 ISBN 3642102646 page 28
  2. ^ 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
  3. ^ Petascale Computing: Algorithms and Applications by David A. Bader 2007 ISBN 1584889098 pages 435-435
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