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"high computation overhead" is correct and usable in written English
You can use the phrase to refer to the extra work or time needed to compute something, especially if the computation is more complex than usual. For example, "The research team encountered a high computation overhead when they attempted to analyze the data set."
Exact(3)
Traditional cipher systems are not appropriate for video encryption due to the high computation overhead.
Asymmetric approaches suffer from high computation overhead, while symmetric approaches suffer from low immunity against attacks such as chosen and known plaintext attack.
For example, algorithms based on topology can find the shortest path but the complexity of time and space is high; some algorithms based on Datagram Routing Algorithm (DRA) have a high computation overhead; others based on Dynamic Source Routing (DSR) store all route information in datagram, which however negatively impacts routing efficiency and robustness.
Similar(56)
Moreover, they have high computation overheads because at each iteration, the required number of complex multiplications for the interference reconstruction is 4N 2 where N denotes the total number of OFDM subcarriers.
NLS techniques give a higher accuracy than LLS but has a higher computation overhead.
Sundry schemes proposed for addressing these problems are inappropriate due to high communication, computation overhead and latency.
Moreover, these models have high computational overhead.
Furthermore, many security schemes designed for homogeneous sensor networks suffer from high communication overhead, computation overhead, and/or high storage requirement.
Meanwhile, it does not require high communication and computation overhead.
Note that these schemes not only suffer from high computation cost, communication overhead, and large memory requirements, but also there is no guarantee for secure key establishment among all sensor nodes.
Asymmetric encryption (which does not require all parties to share a key) is impractical on a per-packet basis due to high computation and communication overheads.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com