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Study of Multiprogrammed Computer Systems with Memory Hierarchies
The possibility of using queueing networks to study the performance of multiprogrammed computer systems that use memory hierarchies was investigated. It was found that these kinds of models are adequate provided the success function of the memory hierarchy is known. A stochastic algorithm to obtain the success function of the hierarchy was developed. The results obtained, whenever this model is used in conjunction with the queueing network, were extensively compared with conventional simulation techniques, and the accuracy found to be within five percent. The problem of scheduling the Central Processor was considered, and empirical algorithms to determine policies that set upper and lower bounds on the success function of the hierarchy were proposed. Mathematical methods were employed to analyze various system configurations, that include several input-output channels and processors. (Author).
Reviews Of Accelerator Science And Technology, Volume 1
Particle accelerators are a major invention of the 20th century. In the last eight decades,they have evolved enormously and have fundamentally changed the way we live, think and work.Accelerators are the most powerful microscopes for viewing the tiniest inner structure of cells, genes, molecules, atoms and their constituents such as protons, neutrons, electrons, neutrinos and quarks. This opens up a whole new world for materials science, chemistry and molecular biology. Accelerators with megawatt beam power may ultimately solve a critical problem faced by our society, namely, the treatment of nuclear waste and the supply of an alternative type of energy.There are also tens of thousands of sm...
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