Our method increases the performance up to three orders of magnitude compared to previous approaches, depending on the implementation, the size of the grammar and the input string length.
In this implementation, the size of the linear system is set to be 250000×250000.
Nevertheless, in this implementation, the size of the digital signal is changed.
In this implementation, the size of the file holding intermediate results of HFCC can not exceed 2 gigabytes; as we were interested in ranking of entire set of SNP pairs, this limited our studies to about 2,000 SNPs.
To rule out the effects of various protein sizes, in implementation the alignment size was normalized by the protein size with Formula 3 and was thus called the alignment ratio (unit: percentage).
BDCT is reduced by a factor with respect to that of a pixelwise implementation, since the size of the encrypted values will be the same irrespective of the implementation.
This was similar to the GPU implementation but the size of the additional statements was approximately 500 lines, which was less than that required for the GPU implementation.
As shown in the result of physical implementation, the core size is 356.1×427.7μm2 and the VLSI implementation of ROF can operate at 256 MHz for 1.8 V supply.
In our implementation, the layer size is 360.
The mode of addressing the problem needs to be revisited; implementation and the size of the organisation need to be adapted to the locally selected interventions and to the operational capacity.
