The α parameter is assumed to be constant in the whole volume of computations.
The volume of computations in proteogenomics is relatively high, with ∼100 CPU hours for a typical bacterial genome.
The massive increase in data volume with the development of computation capability has outmoded compute-intensive clusters for the analysis of large-scale datasets due to the network bottleneck caused by the large amount of data transferred over the network.
As the LUT can be used for all the slices of a volume, the computation of the LUT is not taken into account.
Software level designing has the upper hand to hardware level designing in terms of validating several conditions, handling add-in functionality for the system and easier configurability, where as hardware is faster and functionally superior to software in terms of processing high volume of data for computation.
In some cases, depending on the volume of data and computation to perform, operating on a cloud provider's infrastructure seems to be more expensive than providing the necessary ICT infrastructure in-house.
Tasks are heterogeneous in terms of computation volume, memory and minimum processing requirements.
Also note that assuming the volume of such "botnet computations" is large enough (i.e., many enough users employ this technique), it is also possible to re-use providers, since it will not be possible for a provider to relate two different processing tasks with each other.
Moreover, it has been designed to allow free sliding of materials on each others, thanks to a material volume centered computation of variables in mixed cells.
This indirect method consists of subtracting the forward flow of the great vessel (e.g., aortic forward flow, for the quantification of mitral valve regurgitation), calculated by phase-contrast MRI, from the stroke volume (volumetric computation) of the corresponding ventricle (e.g., left ventricle for mitral valve regurgitation).
