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Information 2010, 1(1), 3-12; doi:10.3390/info1010003

Using Information Theory to Study Efficiency and Capacity of Computers and Similar Devices

Institute of Computational Technology of Siberian Branch of Russian Academy of Science, Siberian State University of Telecommunications and Informatics, Novosibirsk 630000, Russia
Received: 6 July 2010 / Revised: 22 July 2010 / Accepted: 5 August 2010 / Published: 12 August 2010
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Abstract

We address the problem of estimating the efficiency and capacity of computers. The main goal of our approach is to give a method for comparing the capacity of different computers, which can have different sets of instructions, different kinds of memory, a different number of cores (or processors), etc. We define efficiency and capacity of computers and suggest a method for their estimation, which is based on the analysis of processor instructions and their execution time. How the suggested method can be applied to estimate the computer capacity is shown. In particular, this consideration gives a new look at the organization of the memory of a computer. Obtained results can be of some interest for practical applications. View Full-Text
Keywords: computer capacity; computer efficiency; information theory; Shannon entropy; channel capacity computer capacity; computer efficiency; information theory; Shannon entropy; channel capacity
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Ryabko, B. Using Information Theory to Study Efficiency and Capacity of Computers and Similar Devices. Information 2010, 1, 3-12.

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