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*NC×DO NOT TYPE IN THIS BOX Bulletin # : ___FLORIDA INTERNATIONAL UNIVERSITY CURRICULUM COMMITTEEAcademic Year : ___Proposal for a New CourseEngineering and Computing 1. School/College ___ School
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How to fill out applications of parallel computing

01
Understand the problem you are trying to solve and determine if it can be parallelized.
02
Identify the different tasks or processes that can be carried out simultaneously.
03
Choose a suitable parallel computing framework or platform such as MPI, OpenMP, or CUDA.
04
Develop a parallel algorithm that divides the workload among multiple processors or cores.
05
Write and implement the code for the parallel algorithm, taking into account communication and synchronization between processes.
06
Test and optimize the parallel application to ensure efficient performance on the target hardware.

Who needs applications of parallel computing?

01
Scientists and researchers working on complex simulations or data analysis that require high computational power.
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Engineers and developers working on machine learning, artificial intelligence, or big data applications.
03
Organizations handling large-scale data processing tasks such as financial calculations or weather forecasting.
04
Any individual or team looking to speed up processing times and improve overall system performance through parallel computing.
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Applications of parallel computing include scientific simulations, weather forecasting, financial modeling, data mining, and machine learning.
Researchers, scientists, programmers, and companies utilizing parallel computing for various purposes are required to file applications.
Applications of parallel computing are typically filled out online through specialized platforms or software provided by institutions or organizations.
The purpose of applications of parallel computing is to optimize performance, speed up processes, and efficiently utilize computing resources.
Information such as algorithms used, hardware specifications, input data, expected output, and resource requirements must be reported on applications of parallel computing.
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