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For this, a technique based on Particle Swarm Optimization (PSO) has been proposed to select cores from the given core library and map the resultant core graph onto mesh based architectures.
While the first one contains all processor and OS-specific parts, the latter is platform independent and provides generic processor-based functions like retrieving hormone values for basic elements on a given processor core (e.g., an ALU works better on a processor core with strong arithmetic features and therefore deserves higher hormone values to attract this basic element).
The conceptual basis of the approach is provided by the following ideas: based on the observed frequency of occurrence of given core and value fragments in active versus inactive compounds (in the following referred to as the active versus inactive class), probabilities of activity and inactivity can be derived for cores and values.
The exploration goal is to determine the number of cores required to run the random RACH-PD algorithm in a 115 km cell and how to best distribute the operations on the given cores.
Macro-mutation operator is a composite operator that uses a series of diagonal moves) on a given conformation to build the H-core around the hydrophobic core center (HCC).
We propose a modification of the B&K algorithm to find all minimal k-cores on a given graph.
There is not a known bound for the maximum number of minimal k-cores on a given graph.
This trend is thought to be sustained as long as the progress of micro-electronics will permit, by regularly doubling the number of available computing cores on a given chip.
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