Sentence examples for many computational resources from inspiring English sources

Whether that is true varies from case to case depending on the dynamical properties of the system, how much is known about them, what idealizations and simplifications are adopted in the model, what numerical methods are used in the computation, and how many computational resources (such as time, processing speed, and memory) are available (Piccinini 2015, Chap 4).

"I never had that problem in the past where I was provisioning so many computational resources that Google was yelling at me for being too fast.

The Ibercivis project has many computational resources available to different scientific projects.

The tuple BOINC and Ibercivis are presented as a valid alternative in the HPC arena for running bioinformatics applications, which are not real time but need many computational resources.

According to the trends in Figure 2 and the fact that new sequencing technologies with higher throughput will surely emerge, it appears that the NGS community will require many more computational resources in the coming years.

However, most of these algorithms are quite complex, and so require too many storage and computational resources to be implemented on most low-cost and low-power devices.

Some of this missing information could be computed to fill in the gaps preventing integrative model construction, but relevant computational resources, many of which are web services, remain inaccessible to a single query method, partly due to the aforementioned integration issues.

But many computational grids consist of resources with different owners in order to provide a high degree of flexibility and allow efficient sharing of resources.

Moreover, due to the limited computational resources, in many practical situations, continuously updating the optimal adaptive weight vector may be prohibitive.

With these features, we can bring to bear the computational resources of many 100s of thousands of processor cores on the highly clustered, large dynamic range simulations that are necessary for understanding the formation of galaxies in the context of large scale structure.

The cloud model is appealing for many scientific applications, where large computational resources are required on an ad hoc basis for analyzing large datasets produced or collected after some experimental work.