The phrase "achieving the computational" is correct and usable in written English.
It can be used in contexts related to computer science, mathematics, or any field that involves computational processes or goals.
Example: "The research focuses on achieving the computational efficiency necessary for large-scale data analysis."
Alternatives: "attaining the computational" or "realizing the computational".
Babbage's dream was clearly capable of achieving the computational efficiency and accuracy that the current corporate era finds indispensable.
It's more likely, Simon says, that achieving the computational efficiency needed to get to exascale will require technologies still under development, such as low-power 3D memory chips and links between processors that pass data as light instead of electrons.
The experiments established on the real-world datasets show that our proposed method produces the comparable clustering quality with other support-based clustering methods while simultaneously achieving the computational speedup.
The nonlinear spatial grouping process of synapses is one of the fascinating methodologies for neuro-computing researchers to achieve the computational power of a neuron.
Our parallel Vlasov code has been well-tuned on the K computer and has achieved the computational performance of 138.634 Tera FLOPS with 6,144 nodes, which corresponds to a performance efficiency of 17.4% to the theoretical peak performance of 786.432 Tera FLOPS = 128 Giga FLOPS × 6,144 nodes (Umeda and Fukazawa 2014).
Though there exists some advanced optimization procedures of the above nonlinear MAXCUT problem, here we use the greedy gradient search to achieve the computational efficiency for practical applications.
Moreover, the PCEXP scheme is also shown to achieve the computational efficiency comparable to the implicit schemes for steady flows.
To achieve the computational time improvement, we employ the EM decomposition method that explores EMs or linear combinations of them which are responsible for the metabolic flux distributions.
The methods investigated differ by the quality of the links achieved, the computational requirements and the level of security of the encryption [ 13, 44].
Most importantly, we looked into how the researchers attempted to achieve the computational feasibility of their models (see Additional file 1: Table S3).
A common theme spanning these reports has been the critical role of predisposing or enabling factors that may impact the likelihood of achieving the promise of computational-approaches to such information needs [ 5].
