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Parallel Computing 26 (2000) 243 266 www.elsevier.com/locate/parco Massively parallel computing using commodity components Ron Brightwella, ×, Lee Ann Fisk, David S. Greenberg,1, Tram Hudson, Mike
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Massively parallel computing is using multiple processors or computers to perform computations simultaneously.
Organizations or individuals who need to process large amounts of data or perform complex computations may use massively parallel computing.
Massively parallel computing can be implemented by dividing the workload among multiple processors or computers and coordinating the communication between them.
The purpose of massively parallel computing is to speed up calculations or data processing by distributing the workload across multiple processors or computers.
The information reported on massively parallel computing may include the type of computations being performed, the number of processors or computers used, and the results obtained.
The deadline to file massively parallel computing in 2023 is typically determined by the project timeline or specific requirements set by the organization.
The penalty for late filing of massively parallel computing may vary depending on the organization or project, and could include delays in processing or potential financial consequences.
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