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We consider both the distributed computing and distributed computer memory in the parallelization.
Along with this framework, the issue of desynchronization was simultaneously raised as the major topic of mapping the ideal communication and computation model of synchrony on realistic and distributed computer architectures.
Since their introduction, the four-point explicit group (EG) and explicit decoupled group (EDG) methods in solving elliptic PDE's have been implemented on various parallel computing architectures such as shared memory parallel computer and distributed computer systems.
However, distributed computer systems require methods that can efficiently disseminate the data and distribute the computational tasks.
With this in mind, the dynamics of nucleic acid hairpin formation and disruption have been studied using a novel computational tool: large-scale, parallel, atomistic molecular dynamics simulation employing an inhomogeneous distributed computer consisting of more than 40,000 processors.
In effect, they use the Internet to turn a network of machines into one huge distributed computer.
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Moreover, many existing workflow engines do not leverage parallel and distributed computers, making them unsuitable for executing computational science simulations.
In this study, a computational framework using a network of distributed computers, each equipped with graphics processing units (GPUs), is proposed.
Mobile phones are the world's most widely distributed computers.
They are designing floating robots, wireless sensors and distributed computers in an effort to better understand and improve the water quality of the Hudson River.
Michaelmas (1977) marked a brief return to fiction; its portrayal of a sentient Artificial Intelligence, housed worldwide through a network of distributed computers, was prescient.
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