Exact(1)
We develop an optimal task allocation and scheduling algorithm which minimizes the computing period for multiprocessor systems with general network structures considering task execution time and communication contentions and routing delays explicitly.
Similar(59)
To obtain a model of small order with satisfactory accuracy, an optimum nodalization scheme is arrived at by comparing the transient response accuracies and computation speeds of node models with different nodalization schemes, which keeps a good balance between maximizing the computational accuracy and minimizing the computing time.
Population balance models are generally computationally intensive, so in many practical applications only a few moments of the density function are computed, minimizing the computational costs.
We address that problem here, and show how to efficiently integrate multi-dimensional histograms and other complex synopsis structures into the search algorithm of a traditional query optimizer such as that of System R. A main challenge in this work is minimizing the computational expense of dynamically computing synopses on intermediate tables during query optimization.
This paper consists of minimizing and simplifying the computing process in the Mobile Station (MS) during its geo-location phase needed especially for handover.
The algorithm minimizes the average reflectivity computed over given wavelength range by tuning the thickness of layers in the multilayer stack.
Now let us consider the objective of minimizing the SER computed from the union bound of (9).
Self-manageable Cloud infrastructures are required in order to comply with users' requirements defined by Service Level Agreements (SLAs) and to minimize user interactions with the computing environment.
The parallel algorithm is designed in such a way as to minimize data exchange among the computing machines, and in particular to avoid taking a global transpose of the data during the pseudo-spectral evaluation of the non-linear terms.
We address the problem of partitioning a set of independent, periodic, real-time tasks over a fixed set of heterogeneous processors while minimizing the energy consumption of the computing platform subject to a guaranteed quality of service requirement.
Effects of the artificial viscosity are also examined, and the optimum value of the linear artificial viscosity that minimizes the relative error in computed stresses is found.
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