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His research focusses on the strategic implementation of computation in architectural design.
There is an increasing need and implementation of computation in the conduct of modern scientific research and experimentation.
This version of the SNIP is for the first time modeled as a capacitated network reliability problem allowing for the implementation of computation and solution techniques previously unavailable.
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Some important issues in the implementation of computations that involve a large number of arithmetic operations and data on the GPU that has limited high-speed memory resources are addressed extensively.
The implementation of the computation, analysis, and visualization step is a combination of interactive computing (Goldin et al. 2010), knowledge discovery (Fayyad and Stolorz 1997), information visualization (Card et al. 1999), and visual analytics (Wright 1997; Heer and Shneiderman 2012).
Currently, a workable solution is provided with the availability of generalized multifactor dimensionality reduction (GMDR) algorithm on a computing system with graphics processing units (GPUs), a type of hardware implementation of parallel computation that can be adapted for many scientific tasks [ 23].
This chapter discusses distributed implementation of this computation model.
Cirac and Zoller [16] proposed using trapped ions as a physical implementation of quantum computation.
In this paper the first ever parallel implementation of systemic computation is introduced.
Interconverting the quantum information stored in stationary qubits to photons and faithfully transmitting them are two basic requirements of any physical implementation of quantum computation [1].
Par-allelization with respect to frequencies and an efficient implementation of the computation of Green's tensors further accelerate the calculations.
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