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TP technique facilitates the increase in computational throughput by allowing narrow width operation in parallel.
The conventional parallel-ISP-optimization methodology requires the division of the algorithm into data processing parts and control processing parts first, followed by their operation in parallel because of the adaptivity of the ISP algorithm.
Therefore, it is reasonable to treat the efforts to achieve high-temperature operation in parallel for both dopant-atom devices and SETs. Figure 7 provides an overview of the factors critical for tunneling operation in different temperature ranges (horizontal axis) and as a function of the number of dopants forming the QD or number of QDs involved in transport (vertical axis).
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The biased subdivision of slurry feed to a number of unit operations in parallel results in each unit operating under different density volumetric flow rate, feed concentration.
The Connection Machine used commercially available processors connected together to perform operations in parallel.
The idea of running operations in parallel, breaking one large sequential task into many smaller ones, enabled supercomputing to take off.
These properties allow quantum computers to run several operations in parallel, promising huge gains in speed over traditional number crunching.
In this paper we present an optical processor for performing arithmetic operations in parallel.
The proposed multi-mode quadruple precision floating point adder architecture supports four single precision operations in parallel, as well as two double precision operations in parallel and also supports one quadruple precision operation.
In order to be able to simulate different load scenarios, the OSSperf tool supports the parallel transfer of objects, as well as requesting delete operations in parallel.
As a further future work, we propose improving the performance of the algorithm, taking into account execution of some operations in parallel, such as comparison of approximate sets.
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