Sentence examples for compute and analysis from inspiring English sources
If the user requests that the analysis execute every n time steps, then an optimal configuration of compute and analysis groups would have (n tau_{c} simeqtau_{a}).
The results are presented in Figure 7. Figure 6 Total bandwidth during transfer of a 10-component (pmb{1text024^{3}}) grid (32,768 Boxes) among 8,192 total MPI processes, with varying sizes of compute and analysis groups.
The risk of load imbalance described above traces its roots to the static nature of the roles of compute and analysis processes which we have assumed for this example, and which has traditionally been characteristic of large-scale simulations.
Returning to the above example, one may request an additional task from the analysis group: every m time steps, it measures the time spent in MPI calls between the compute and analysis groups (such calls remain unmatched while one group is still working).
Church, however, argued that privacy could not be guaranteed, despite precautions, because of the power of modern computing and analysis methods a prediction that has been borne out.
Micro-blog sentiment computing and analysis includes two aspects: one is to analyze the personal emotion fluctuation in different period of time; the other is to analyze emotions of a group people in different time.
In the future, some studies about the allocation of virtual machines, task scheduling and load balancing strategy are hoped to be carried out to meet the needs of higher computing performance and analysis efficiency when applied to power flow calculation.
New robust correlations and mechanistic model of macroscopic fluid dynamic and gas liquid mass transfer characteristics for randomly packed towers were developed based on first principles, neural network computing and dimensional analysis (artificial neural network and dimensional analysis, ANN DA).
We compute some statistics and analysis on the social network to show insights into human relationships as well as relationship symmetry.
The complexity and computational intensity of scientific computing has fueled research on parallel computing and performance analysis.
