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Accordingly, computationally intensive statistical and machine learning algorithms are being used to seek answers to increasingly complex questions.
The inherent structure of cellular automata is trivially parallelizable and can directly benefit from massively parallel machines in computationally intensive problems.
Still, given that even the most advanced neural networks are run on von Neumann machines, they are computationally intensive and energy-greedy.
Instead of running millions of waves or even several randomly chosen waves through a computationally intensive simulation, Sapsis and Mohamad developed a machine-learning algorithm to first quickly identify the "most important" or "most informative" wave to run through such a simulation.
To solve a large computationally intensive problem, a cluster of several low capacity machines is more beneficial in terms of cost and performance compared to a high capacity machine.
Systems based on synchronous grammars and tree transducers promise to improve the quality of statistical machine translation output, but are often very computationally intensive.
Automatic performance tuning of computationally intensive kernels in scientific applications is a promising approach to achieving good performance on different machines while preserving the kernel implementation's readability and portability.
Unfortunately, this problem is NP-Complete and thus computationally intensive at scale hence there is a need for efficient processing, as well as the techniques for distributing the computation across multiple machines such that the computation, which is too time-consuming on a single machine, can be efficiently performed on a machine cluster given that it is large enough.
So the entire process is computationally intensive.
In addition, genetic programming is computationally intensive.
"It's an incredibly computationally intensive process," says Cronin.
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