Sentence examples for resources for experimenting from inspiring English sources

Exact(1)

However, it is often difficult to gather enough hardware resources for experimenting with a reasonably sized distributed application inside a controlled environment.

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NG participated in editing the manuscript and provided laboratory resources for experiments.

On eBay, a good resource for anyone experimenting with a look, sales of bow ties jumped 34percentt from December 2007 to February 2008.

The underlying, scalable, infrastructure is using the high-performance IBM Spectrum Scale file system and is connected to a computing cluster with tailored resources for each experiment.

Thus one needs to take into consideration the accuracy and reproducibility of different types of microarrays when allocating the laboratory resources for future experiments.

As the number of sequenced genomes of fruit species grows, so do opportunities to exploit these genomics resources for translational experiments.

Such playful and public-minded research is relatively rare for Facebook when compared with the much-larger Google, which devotes great resources to experimenting with its data.

Predicting the fate of nanomaterials in incineration plants with models based on real measurements would reduce the immense efforts (time and resources) for real-scale experiments.

This is attributed to the need to understand often complex cloud specific technologies (e.g. virtualization, job scheduling), to build and submit the required work flow, to choose the right virtual machine for the problem, to configure the purchased resources for the chosen experiment, and to choose the right number of resources for the given task [3, 15].

While the separation between quasi-real-time and offline processing resources can be handled relatively well via the enforcement of high- and low-priority processing queues, the storage aspect was best handled by the introduction of dedicated resources for the running experiment.

Such information could be useful for downstream analysis, especially for consideration when allocating resources for follow-up experiments on variants of interest.

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