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The most important parts of the algorithm are described as follows (Figure 4). Figure 4 Flowchart of the simulation together with corresponding progress bar.
EGLS can easily be adapted to scenarios in which only parts of the algorithm are performed because it stems from methodical reasoning and a sonographic approach tailored to the ultrasound findings encountered.
We keep our implementation close to the structure published by Kasap et al. [3,4] and include ideas from Sotiriades et al. [5] such that all parts of the algorithm are organized in components of a long pipeline.
We note that many parts of the algorithm are independent and would be amenable to parallelization, however the current release (version 2.3.1) runs in serial mode only.
The other parts of the algorithm are the same as in DPLSQ-TV.
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In fact, since the processors on the Xeon Phi have a lower clock frequency with respect to the common Intel processor unit (such as for example the Sandy Bridge), applications that have long sequential part of the algorithm are absolutely not suitable for the native mode.
Indeed, one of the time consuming parts of the algorithm is finding the coefficients C m, m ′, i, i ′ Open image in new window that are defined by Equation (10).
The run-length encoding, together with other parts of the algorithm, is performed in parallel; sequential operations are minimized as the number of run-lengths are typically less than the number of pixels.
The most time-consuming part of the algorithm is the graph exploring phase.
The most time consuming part of the algorithm is the iterative calculation of pressure and temperature.
Furthermore, the heuristic part of the algorithm is more reliable in the block case, see below.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com