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Parallel computing is a type of computation in which many calculations or the execution of processes are carried out simultaneously.
Parallel computing is a form of computation in which many calculations are carried out simultaneously, operating on the principle that large problems can often be divided into smaller ones, which are then solved concurrently ("in parallel").
Schemes of universal quantum computation in which the interactions between the computational elements, in a computational register, are mediated by some ancillary system are of interest due to their relevance to the physical implementation of a quantum computer.
Cloud computing enables a new kind of computation in which staggering amounts of data can be culled from sensors world-wide and then employed as the basis for problem solving in new styles that need to also be massively parallel, since the data ends up spread over large numbers of machines, with no single machine having more than a "shard" of the big picture.
We describe three empirical studies investigating the use of natural language for computation in which we found that although natural language provides support for understanding computational concepts, it introduces additional difficulties when used for coding.
The university used a numerical computation in which all nonwhite applicants were awarded an extra half-point, significantly boosting their chances for acceptance.
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We present validation computations in which the computational results from the low Mach number model are compared to a compressible code and present an application of the methodology to the Landau Darrieus instability of a carbon flame.
Associating two memories, commanding muscles to move or identifying odors are all computations in which nerve cells play the role of the on-off switches in computers.
Also, we present results of computations in which this method is used to determine the flow in fluid-filled cylinders undergoing spinning and coning motion.
An explicit implicit extension to the continuous-field scheme is provided only to allow for computations in which the local Courant number exceeds unity.
This improvement is particularly important for computations in which an elastic boundary separates chambers containing fluid at substantially different pressures, a situation which is prominent in cardiac fluid dynamics during the contraction of the ventricles.
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