Sentence examples for very high computing from inspiring English sources
Class c 4: applications requiring very high computing resources (over 1.75 GHz).
They were originally built for providing very high computing power for scientific or popular applications with no stringent real-time constraints.
Numerical results show that the method we introduced here not only has high precision and robustness, but also has very high computing efficiency.
The very high computing capacity available in the latest Field Programmable Gate Array (FPGA) components allows to extend their application fields, in High-Performance Computing (HPC) as well as in embedded applications.
Apart from the very high computing power necessary, PyroNoise was designed to analyse sequences for which the distal primer was not reached.
Although there are some intriguing approaches proposed in the literature, these have a number of problems, for instance they involve very high computing demands or high rates of false positives or false negatives.
The combination of these two aspects accuracy and complexity demands very high computational grid resolutions and, thus, high performance computing methods designed for massively parallel hardware architectures.
A consensus for the perceived intensity value was found for each title, using a process that eliminated extreme values, assigned a numeric value to each energy level (normalized between 0 for "Low" and 1 for "Very High"), and computed the mean value from this normalized data.
By calling themselves "gaming computers" machines like this are preventing themselves from being noticed by not only those who have very high-end computing requirements (that would otherwise buy less sexy workstation computers), but also the luxury buyer looking for hand-built quality and exclusivity.
The chip was supposed to make Intel a contender in the lucrative market for very high-end computing.
Specialized resources exist to enable very high-throughput computing for specific applications (Pekurovsky et al., 2004; Swindells et al., 2002), but few computational options exist allowing researchers to quickly mine large collections of genome-scale datasets.
