The phrase "computing burden" is correct and can be used in written English.
It is typically used to describe the amount of time, resources, or effort required for a computer system or program to perform a specific task or function. Example: The new software has greatly reduced the computing burden on our team, allowing us to complete tasks more efficiently and with less effort.
Computer users may be driven to distraction by pop-up ads, some pornographic, or find that their PC's become sluggish, laboring under the computing burden of the unwanted programs.
If this is the case, prediction using representative probes would be less expensive and computing burden would be lessened because generating a kernel matrix is potentially time-consuming.
As consumers clamor for more Internet video, a huge computing burden is placed on companies like Google, Microsoft and providers of digital video, who must compress the video files so they can be streamed to desktop and portable computers.
In compensation of sub-optimality, the computing burden is lighten and robustness to energy shortage enhanced.
The emphasis is on prediction accuracy, with brief consideration of robustness, validation and computing burden.
Hadoop is a popular technology for big data processing on cloud to offload computing burden from terminals.
It means that, this enables us to avoid considerable computational burden for computing B itself, even if m is infinite.
The algorithm increases computing efficiency by allocating computation burden to networked computers.
Therefore, in order to overcome such computational burden, parallel computing becomes appealing [ 3, 4].
For the sake of reducing the computational burden, we pre-computed and pre-ordered the individual fluorescence contributions from all synapses for each voxel.
This enables health officials to compute the burden of disease associated with different conditions, from tuberculosis to migraine and cancer.
