The phrase 'computing efficiency' is correct and usable in written English.
It can be used as an adjective to refer to how efficiently computers perform tasks. For example: "Investing in better computing equipment will greatly improve the computing efficiency of our business."
The algorithm increases computing efficiency by allocating computation burden to networked computers.
The Re-Normalization Group (RNG) k-ϵ model was used for modeling the turbulence in this computational geometry due to its good accuracy, computing efficiency, robustness and affordability [ 25– 27].
Large data centers now routinely use a software technique called virtualization to run many operating systems on a single processor in order to gain computing efficiency.
We provide three strategies that integrate memory cost and computing efficiency.
The power-delay product for each gate, a metric of computing efficiency, can be determined for all-carbon spin logic as PDP=Ptd≈5 × 10−18 J.
This paper presents two methods of analytically representing numerical orbits considering the accuracy, computing efficiency and memory.
The computing efficiency of a serial DD code is enhanced by using the so-called 'box method'.
An algorithm based on an evolutionary technique is proposed, with problem-specific genetic operators to improve computing efficiency.
The design of optimal data structures and algorithms in terms of memory requirements and computing efficiency is shown.
Additionally, to enhance computing efficiency in optimization, probabilistic effect assessment models for setting repair and retrofitting strategies are proposed.
Classical MTS algorithms manage to improve computing efficiency by multi-stepping within DPD or CGMD for up to one order of magnitude of scale differential.
