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An exchange-shift communication algorithm is presented to bridge the two different partitioning schemes.
The complexity of a communication algorithm is measured by the number of communication steps (rounds).
In consideration of efficiency, an asynchronous particle communication algorithm is designed and implemented.
The simulations demonstrate the ability of the adaptive subband communication algorithm to adjust automatically the speech signal gain for improved intelligibility while maintaining healthy noise exposure levels.
In comparison to previous long characteristics methods, we have greatly improved the parallel performance of the adaptive long-characteristics method by developing a new completely asynchronous and non-blocking communication algorithm.
For the case of ℓ=2kp, it is proved that a designed point-to-point communication algorithm is optimal with respect to the amount of communication required per processor as well as to the amount of overall communication.
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Optimal Approach to Quantum Communication Algorithms Using Dynamics Programming.
Domain decomposition and communication algorithms used by both our CG and DG models are presented.
In both cases, the researchers' communication algorithms were able to thwart the adversary by using randomness.
Furthermore, the performances of the communication algorithms developed, which are frequently required in parallel vision algorithms, are presented.
The group communication algorithms are employed in fault-tolerant distributed computing systems, where the members of a group coordinate by using multicast messages.
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