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As part of the ES project in Japan, the proposed subsystem is effective for the visualization of huge-scale unstructured datasets, and can be concurrent with computation on the same high-performance parallel computer.
Hence the folding scheme achieves the best possible throughput, in lack of any overhead of shuffling data across memories while scheduling another computation on the same processing unit.
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However, almost all existing POD-based reduced-order numerical methods (see, e.g., [14 35]) employ numerical solutions obtained from classical numerical methods on the total time span ([0,T]) to form POD bases and establish reduced-order models, and then recompute the solutions on the same time span ([0,T]), which actually entails repeating computations on the same time span ([0,T]).
Thus, the computation (performed on the same aforementioned hardware and software) was aborted after 24 h.
The two models are implemented in the same in-house Finite-Volume code, with the same numerical method, and all the computations are performed on the same block-structured body-fitted curvilinear grid.
Thus, a rock and a digital computer perform computations in the same sense.
They represent the first wave of mainstream chips that combine top-of-the-line computation and graphics functions on the same piece of silicon.
To facilitate parallel computation, we ran Beagle on the same 5-Mb chromosome chunks (with buffers) that were used by IMPUTE2.
For the vertical scaling, additional slowdown was brought about by sharing the same CPU and additional coordination of computations carried out in parallel on the same computing unit.
Model selection rules and confidence computation were the same as in Experiment 1.
Accordingly, GPU outperforms the CPU in terms of parallel processing on the same computation with multiple data [ 24].
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