December 2025
Intermediate to advanced
368 pages
9h 58m
English
Content preview from Distributed and Parallel Computing
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5Parallel Computing Models and Architecture
Aastha Sharma1,2*, Swati Sharma3 and Divya Mishra2,4
1Dept. of Computer Science and Engineering, AKGEC, Ghaziabad, India
2Faculty of Technical, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India
3Dept. of Computer Science and Engineering, ABES Engg. College, Ghaziabad, India
4Dept. of Computer Science and Engineering, ABES, Ghaziabad, India
Abstract
When dealing with massive issues in areas such as artificial intelligence, data analytics, and scientific computing, parallel computing becomes crucial. It enhances efficiency, decreases processing duration, and manages more intricate assignments. Nevertheless, the task of creating parallel algorithms and guaranteeing effective synchronization across processors may be somewhat demanding. The technique of dividing a bigger issue into small and independent and often comparable task of execution that may be repeatedly run by different processors communicating via shared memory space and combining the results at the end to form an overall method is known as parallel computing. The Process of Handling the data in terms to read/write the process of execution set of instruction enabled by the processor to compute and execute the particular every job/task at a time. It can leads to boost up the execution processor and alot to operate the multitask at a time by implementing the task with the help of multicore processor. In contrast to serial computation, which uses just a portion of the ...
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