'heavy computational burden' is a correct and commonly used phrase in written English.
You can use it to describe a situation where the computational requirements of a task are particularly intensive or time-consuming. For example: The research project entailed a heavy computational burden, requiring advanced computing software and significant hours of manual effort.
However, this approach to the generation of the plant template leads to heavy computational burden since it wastes much computational effort computing the images of points on edges which lie in the interior of the plant template.
Computing this factor z t results in heavy computational burden for normalization.
Spatial statistics are subject to extremely heavy computational burden for large geostatistical models.
Traditionally, optimization for large-scale multi-level lot sizing (MLLS) problems always encountered heavy computational burden.
However, it has to traverse image pixels iteratively and suffers heavy computational burden.
These requirements impose a heavy computational burden that needs to be considered during the design phase.
Previous ensemble methods demand vast memory spaces and heavy computational burdens in dealing with large-scale datasets, which leads to the inefficiency for the problem of classification.
However, models with plentiful HEN structures always result in complex mixed-integer nonlinear programming (MINLP) models with non-convexity of nonlinear constraints, which will cause heavy computational burdens.
Since the centralized control suffers from the excessive information processing and heavy computational burdens, there has been recently an increasing interest in the use of decentralized control for large-scale systems [3].
However, in most cases for relatively large sample sets and L>3, the matrix multiplications for the computation of the uniform DFT metric lead to heavier computational burden.
However, the method in [29] suffers from the problem of heavy computational load to compute huge warping matrices, while the methods in [30, 33] suffer from the extensive memory burden problem to store huge warping matrices.
