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Moreover, we can see that the 4 GPUs performance is worse than that of 1 and 2 GPUs in the case of an average reference length of 1000.
In Table 3, we can see that a longer average reference length in the dataset always showed a better performance of CUDA- miRanda in terms of both execution times and GCUPs.
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The impact of different average reference lengths on GPU performance was also investigated and the results are shown in Table 3, where both the reference and query dataset contained 256 sequences.
In this way, the average length over the alignment remains equal to the reference length [ 54] and the branch length heterogeneity strictly followed the strategy by Kolaczkowski and Thornton [ 24], i.e., the branch lengths in each component tend to behavior in a Felsenstein zone.
The reference length was normalised to unity and the average (blue) and maximum (black) depth of contigs was counted for each reference sequence.
The average distance a is defined as the ratio (frac {A}{l}) of this area A and the reference length l.
Reference length (m).
An average reference montage was used.
Data were recalculated against the average reference.
ERPs were re-referenced according to the average reference.
After averaging, the data were re-referenced to the average reference.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com