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Cole Poly technique Federal de Lausanne CERN Master Thesis Supervisors: Dr. Rogelio Tomas Garcia Prof. Dr. Roger Her sch Author: Diana Andrea Popes cu 19/08/2013 CERN-THESIS-2013-121 Parallel Computing

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What is parallel computing methods for?

Parallel computing methods are used to divide tasks into smaller subtasks that can be executed simultaneously on multiple processors or computers. This helps to improve speed, efficiency, and performance of computing processes.

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There is no specific requirement to file parallel computing methods as it is a technique used in computer programming and software development. However, organizations and individuals can choose to implement parallel computing methods in their projects or applications.

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Parallel computing methods are not typically filled out in a form or document. They are implemented through programming techniques and algorithms. Developers need to write code that divides tasks into parallel tasks and manages the synchronization and communication between them.

What is the purpose of parallel computing methods for?

The purpose of parallel computing methods is to improve the speed, performance, and efficiency of computing processes. By dividing tasks into smaller subtasks that can be executed simultaneously, parallel computing methods can significantly reduce the time required to complete complex computations.

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There is no specific information that needs to be reported for parallel computing methods. It is a technical technique used in programming and software development. The details of implementation, algorithms, and synchronization methods may be documented for reference and future development purposes.

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