Theoretical computer science

Bridging model

In computer science, a bridging model is an abstract model of a computer which provides a between the physical implementation of the machine and the abstraction available to a programmer of that machine; in other words, it is intended to provide a common level of understanding between hardware and software engineers. A successful bridging model is one which can be efficiently implemented in reality and efficiently targeted by programmers; in particular, it should be possible for a compiler to produce good code from a typical high-level language. The term was introduced by Leslie Valiant's 1990 paper A Bridging Model for Parallel Computation, which argued that the strength of the von Neumann model was largely responsible for the success of computing as a whole. The paper goes on to develop the bulk synchronous parallel model as an analogous model for parallel computing. (Wikipedia).

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From playlist Machine Learning

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As an example, we write down the graphical model for Bayesian naïve Bayes.

From playlist Machine Learning

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From playlist Machine Learning

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From playlist Trigonometry: Dynamic Interactives!

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From playlist Trigonometry: Dynamic Interactives!

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From playlist Machine Learning

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From playlist GeoGebra 3D with AR (iOS): Explorations, Demos, and Lesson Ideas

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From playlist Machine Learning

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From playlist GeoGebra 3D with AR (iOS): Explorations, Demos, and Lesson Ideas

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From playlist Oxford Mathematics Public Lectures

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From playlist Lone Star Ruby Conference 2010

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From playlist Addressing the Challenges of Poverty Conference 2020

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From playlist Addressing the Challenges of Poverty Conference 2020

Related pages

Bulk synchronous parallel