An important research issue addressed in this regard is how to increase the efficiency of the Grid services for a massive processing and scientific computing computations arising in data intensive computations, for example the processing of large log data files arising in "problem determination" in today's IT computing environments.
Applications that might need eASIC power could range from baseband and radio heads in 4G and 5G networks as well as applications based in the cloud that require heavy data computations, for example AI and video services, or financial risk analysis.
"It will also involve breakthroughs in new non-Turing models of computation, for example based on an understanding of how the brain processes information".
Many, if not most, of the adherents of classical computation, for example proponents of CTM, think that the brain is an associative network, one which implements a classical computational program.
One can choose the type of estimator for the computation, for example, maximum likelihood (ML) estimation or Bayesian estimation.
The existing fluid-structure interaction models of a high-speed craft are not adequate for simulations and control applications, since they require a great deal of computation time, for example more than 20 40 s depending on a vessel particulars.
In addition, a single evaluation of the objective function represents a heavy computation load; for example, involving thousands of realizations of a Gillespie simulation that are followed over long periods of simulated time (see Methods).
One addition that would make this table easier to interpret would be the addition of errors on the % importance and rank importance obtained by bootstrapping the data set if this would take an acceptable amount of computation time – for example, how large a change in rank is meaningful?
Medical diagnoses are progressing quickly as a result of computational advances, for example computation model like discriminant analysis and BNNs, and have been proven to generate better results compared with standard statistical techniques [ 41, 42].
Dynamic programming is a powerful method for solving energy minimisation problems in computer vision, for example stereo disparity computations.
There have been various suggestions on how to reduce the number of mutations simulated or make the computations more efficient, for example [ 44- 46].
