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The stream computing implements an implicit concurrent program execution in massively parallel architecture applying, for exam- ple, OpenCL runtime.
The Apriori mining algorithm, which is based on cloud computing, implements dual binary encoding on the transaction set and the item set based on the MapReduce model.
Fog computing implements the idea of extending the cloud where the "things" are, or in other words, improving application performance and resource efficiency by removing the need to processing all the information in the cloud, thus also reducing bandwidth consumption in the network.
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Fig. 4 Distributed computing implemented in the tie-points extraction.
Because of interesting properties of reversible computing, implementing computing devices with reversible manner is the only way to make the reversible computing a reality.
Fig. 5 Distributed computing implemented in the dense image matching Fig. 6 Tiling procedure of the ground bounding box.
Fig. 4 Distributed computing implemented in the tie-points extraction The feature extraction on the images belonging to the chunk is performed.
Based on the trusted root, using the trust chain delivery mechanism, trusted computing technology implements integrity measurement to the local hardware and software layer by layer.
Three algorithms from scientific computing are implemented on an Intel Paragon and an IBM SP2 parallel computer.
Artificial neural networks are distributed computing systems implementing the functionality characterizing biological neural networks.
Reconfigurable hardware offers new ways of accelerating computing by implementing hardware accelerators at run time.
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