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We can use technologies such as swarm computing, pattern recognition, data mining, learning analytics, and other tools, capture data on students' identity, status, condition, and location.
With the cost proposed in "Formulation", all rational companies make the decision on the flat of switch to the cloud computing pattern to minimize its estimated discount cost with respect to the effort cost.
Also, most of these systems do not offer any generic view of a parallel computing pattern, a fact which may be at the root of several of their shortcomings.
The main contribution of this paper is to characterize the optimal computing pattern for an application: which detector(s) to use, how many detectors of each type to use, together with the length of the work segment that precedes each of them.
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Various types of cloud computing patterns exist [8], covering workload, but also offer types and application and management architectures.
Researchers seek unified simulation frameworks that can model heterogeneous architectures like CPU and GPU devices and their interactions as computing patterns move toward heterogeneous era.
In this paper, we propose high-performance GPU implementations for a set of important irregular EDA computing patterns including sparse matrix, graph algorithms and message-passing algorithms.
We masked repeats and coding exons to obtain the Masked Coding-exons and Repeats (MCR) set, which was used for computing pattern-discovery-based cross-species conservation.
These types of repeated computing patterns are a common feature of computing systems, even occurring in man-made computing circuits.
In the past, several pattern-based systems have been developed with the intention to facilitate faster parallel application development through the use of preimplemented and reusable components that are based on frequently used parallel computing design patterns.
In order to compute pattern statistics in computational biology a Markov model is commonly used to take into account the sequence composition.
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