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A PARALLEL COMPUTING SYSTEMAPARALLELCOMPUTINGSYSTEMby JORGE V. ROMAN, B.Eng.A Thesis Submitted to the School of Graduate Studies in Partial Fulfillment of the Requirements for the Degree Master of
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01
Determine the specific task that can benefit from parallel computing.
02
Choose the appropriate parallel computing system architecture based on the task requirements.
03
Divide the task into smaller subtasks that can be processed concurrently.
04
Assign each subtask to a processing unit within the parallel computing system.
05
Implement communication mechanisms to ensure coordination and synchronization among the processing units.
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Execute the parallel computing system and monitor performance to optimize efficiency.

Who needs a parallel computing system?

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Researchers and scientists dealing with complex simulations or data analysis.
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Companies handling large-scale data processing or machine learning tasks.
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Organizations requiring high performance computing for compute-intensive applications.
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A parallel computing system is a type of computer system in which multiple processors work together to perform a task simultaneously.
Any organization or individual using a parallel computing system for their operations may be required to file relevant information.
To fill out a parallel computing system, one needs to provide details about the hardware configuration, software used, and the purpose of the system.
The purpose of a parallel computing system is to improve computational speed and efficiency by dividing tasks among multiple processors.
Information such as hardware specifications, software used, and the purpose of the system must be reported on a parallel computing system.
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