Sentence examples for much lower computing from inspiring English sources

It is finally shown that the electromagnetic response of the structure calculated with this numerical method is in good agreement with a more rigorous method such as the rigorous coupled wave analysis, whereas it requires a much lower computing power.

Its performance was similar to that of SIMWALK2 [ 35] in terms of accuracy, but with a much lower computing time.

Most of the remaining structures with at most 1000 chords have much lower genus (computed for all base pairs): for 229 structures the genus is simply \(g=0\), for 225 structures it is lower than 50.

Further, the computational complexity to compute the channel inversion (13) and N QR decompositions (15) of matrices with dimensions (N_{t_{n}}times N_{r}) is much lower than the computational cost of computing N SVD transformations (19) of matrices with dimensions (phantom {dot {i}!}N_{r}times (N_{t}-N_{t_{n}})).

That was much lower than that computed by Davenport's formula.

Our calculated druggability scores correlate reasonably well with the NMR-based fragment screening results (Figure 1) except for three binding sites (Bir3, E2 31 DNA site, and LCK pTyr binding site), for which we compute much lower hit rates.

Because the cost of distributed computing is much lower than that of a supercomputer, often with volunteers downloading and running the client programs, it has also been used for projects that have trouble getting large amounts of funding, such as the Search for Extraterrestrial Intelligence SETII).

Larger sequence data sets requiring more memory and computing time may benefit from separating memory-intensive assembly from processor-intensive downstream analysis as the cost of processing with cloud computing is much lower than reserving large blocks of memory and storage space.

Intel SGX, on the other hand, used for the first time in a cloud computing orchestrator, yields much lower response times and allows performing various forms of computation on the sensitive data, but it demands a specific infrastructure from the service provider.

Computing the subgradient vectors and updating the dual variables have much lower complexity than the pseudo-inverse matrices computation.

SMEs still typically exhibit a much lower uptake of key technologies - such as cloud computing -than larger enterprises, despite their distinct advantages and efficiencies.