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Computations are represented in terms of the resources they require.
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A model of parallel computation is represented by a network of processors, or machines processing and forwarding (synchronous) messages to each other, subject to physical constraints bearing on either the number of messages that can be processed by a single machine or the number of messages that can be sent through a connection.
The width and the length of the computation region are represented by L and H, respectively.
In stochastic computation, real numbers are represented by random binary bit streams and information is carried in the statistics of the binary streams [ 40].
On the server side, the computation and communication costs are represented for all users participating in the system since they depend on collaboration of all users with server.
The Japanese researcher Toshiyuki Nakagaki and his colleagues have demonstrated that the slime mold's foraging behavior can be used to perform sophisticated computations, as long as the problems are represented spatially.
Numerical computations are performed for specific materials and the results obtained are represented graphically.
The weight of edges between two computation tasks is represented as a separate communication task.
In the FEM computations, the shaft is represented by beam elements, the disk by annular elements, and blades by beam elements in order to reduce the dimension of matrices.
In order to reduce the processing time that is spent in arithmetic computation, a real number is represented using a fraction of integers.
In these systems computations are frequently represented as task graphs that are executed taking into account their internal dependencies and the task schedule.
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