Performance Analysis for Asynchronous Requests in Wireless Networks with Multiple Packet Reception Capability

Warasup, Kittipong; Hamamura, Masanori; Pattaramalai, Suwat

doi:10.1007/s11277-020-07210-8

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“…Comparative analysis was performed using advanced scheduling models such as heterogeneous completion time, Min-Max, and Round Robin for comparative analysis to determine performance improvements. K. Warasup, et. al.…”

Section: Literature Reviewmentioning

confidence: 99%

A Linguistic Study of Speech Comprehension and Production in Aphasic Speakers

2021

QZJ

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Distributed memory is a term used in computer science to describe a multiprocessor computer system in which each processor has its own private memory. Computational jobs can only work with local data, so if you need remote data, you'll have to communicate with one or more remote processors. Parallel and distributed computing are frequently used together. Distributed parallel computing employs many computing devices to process tasks in parallel, whereas parallel computing on a single computer uses multiple processors to execute tasks in parallel. Distributed systems are designed separately from the core network. There are different kinds of distributed systems such as peer-to-peer (P2P) networks, groups, grids, distributed storage systems. The multicore processor can be classified into two types: homogeneous and heterogeneous. This paper reviews the impact of the distributed-memory parallel processing approach on performance-enhancing of multicomputer-

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Section: Literature Reviewmentioning

confidence: 99%