'large computational burden' is a correct and usable phrase in written English.
You would typically use it when talking about the difficulty of performing a calculation or task using a computer. For example, "The research project had a large computational burden due to the massive amount of data being processed."
The analysis is performed under the assumption of limited computational resources and large computational burden of the objective function evaluation.
The large computational burden associated with the Finite Element Method (FEM) limits its applicability to low-frequency problems.
Emulation modelling is an effective way of overcoming the large computational burden associated with the process-based models traditionally adopted by the environmental modelling community.
This scheme can be successfully applied even to hard non-linear systems with fast dynamics, as the large computational burden related to non-linear model predictive controllers is avoided.
Rapid encryption can present a large computational burden, but it's becoming harder to make that argument as cameras continue to become faster and more powerful.
The performances of these methods are robust but the large computational burden limits their application in practice.
The application of global sensitivity and uncertainty analysis techniques to groundwater models of deep sedimentary basins are typically challenged by large computational burdens combined with associated numerical stability issues.
There are clear advantages to use codon models in phylogenetics (Seo and Kishino, 2008), but these are currently not widely used because of the large computational burdens involved (Anisimova and Kosiol, 2009).
For long-span suspended bridges, the aeroelastic stability analysis performed by means of a rigid section model can be sometimes inadequate, while a multi-mode approach gives better results with only a slightly larger computational burden.
As a result, a larger computational burden is likely placed on hierarchical cortico-cortical networks while processing abstract concepts, as top-down and bottom-up circuits work to interpret contextual variability.
As a future study, the introduction of the relevance measure directly into the linear decomposition method should be evaluated; so a relevance and a redundancy analysis could be carried out in the same step, but probably at the expense of a larger computational burden and memory requirements.
