Sentence examples for reductions of computing from inspiring English sources

The march of progress here is not as plodding as it might seem, however: technology companies have, in the span of just a half dozen years for the smartphone, and just a couple of years for tablets, refined radical reductions of computing as we knew it into experiences that both increasingly approach common appliances in their simplicity and traditional computers in their full-blown utility.

Nowadays, the development of powerful computers makes the reduction of computing cost less relevant for pedigree-based analyses but the reduced model can also be used to exploit marker-based relationships.

Meanwhile, a comparison between the pattern search method and genetic algorithm reflects that the former gives better correlation performance and more significant reduction of computing times than the latter.

Comparative computational exercises are presented in order to point out the consequent significant reduction of computing times in test simulations and, hence, in the minimization of the discrepancy function by the Trust Region Algorithm, namely by a traditional first-order mathematical programming method.

New, efficient, computational algorithms are proposed, allowing a remarkable reduction of computing time and a good reliability in evaluating special quantities.

The results demonstrate that the reconstruction strategy has comparable performance with a significant reduction of computing time.

The reduction of computing time is particularly dramatic and estimates based on operation counts are partially verified by actual computational experience.

Further, the clear reduction of computing time and memory requirements of inexact solvers compared to sparse direct ones makes possible to scale far beyond state-of-the-art BDDC implementations.

The reduction of computing time scaled linearly with the number of allocated cores.

The binary images also enable a reduction of computing time because the system uses 2-bit rather than 8-bit images.

Poole et al. [ 61] used the Amazon Cloud to simulate a clinical linear accelerator and experienced a 1/n reduction of computing time usage when up to 20 worker instances were instantiated.