In our stochastic simulations, we approximate B as a homogeneous cytoplasmic pool (D b →∞) to reduce the computational cost, while maintaining a full computation for the heterogeneous A distribution.
While repeating full computation of the entire datasets is feasible with distributed computing frameworks such as Hadoop, it is obviously inefficient and wastes resources.
Then they proposed to use a linear interpolation based on the smallest and largest eigenvalues of (A_{ij}), which results in a considerable improvement over local Lax-Friedrichs at a computational cost much lower than the one required for the full computation of (vert A_{ij}vert).
All calculations were started individually to make use of the full computation capacity.
Moreover, as the final operation boils down to the extraction of the diagonal elements, a full computation for matrix multiplications is not necessary.
A full computation path has been established for molecular targeted radiotherapy treatment planning, with the associated transport plugin developed by researchers at the Lawrence Livermore National Laboratory.
Therefore, in order to get a meaningful performance measurement, a full computation cycle was carried out, including: consuming messages, writing to HDFS and carrying out a simple analytics job on those data.
To investigate this hypothesis further, we incorporated the equations of Fig. 3 into the full computation.
The spatial grid size and full computation space are set to 5.0 nm × 5.0 nm × 5.0 nm and 5 μm × 5 μm × 2.5 μm, respectively, and a perfect match layer (PML) is used as the boundaries in the X and Y direction.
A full tensor computation requires three computations, each equivalent in time and memory consumption to one experiment simulation.
