Sentence examples for high performance figures from inspiring English sources

The use of GPU-based accelerators instead provides very high performance figures, but the amount of main memory of present devices (i.e., up to 12 GB) limits the size of biological models that can be simulated using them.

However, these highest performance figures are achieved by a small margin relative to MDI+NMF and NMF and with different back-ends.

The GOOD Practice SDEC report on each system closes with findings and lessons learned in order to guide next projects by answering; What quality and support measures lead to a successful SDEC system implementation with high energy performance figures, high quality of indoor comfort and high user friendliness for facility manager?

The school also has a 146-foot coastal research vessel that participates in ocean exploration and a high-performance figure skating center that world-class athletes use for training.

The transmittance and sheet resistance have illustrated that the dipping speed of 50 mm/min and the lifting speed of 100 mm/min is the best condition to form a uniform, high performance TCF. Figure 5 shows the FOM values of TCFs which prepared at different dipping speed or lifting speed.

The following optimization steps have been implemented to achieve a high performance implementation: Figure 3 FPGA implementation overview.

The region of high performance in Figure 5C, left, is conspicuously curved.

The prominence of this posterior ventral pathway during pseudoword reading receives further support by the correlation of its connectivity with high reading performance (Figure 2, red full arrows).

Despite parallel dorsal/ventral processing, only trafficking to the dorsal path (word pathway) is selective for words; this is further supported by the association between connectivity for this path (and not ventral path) and high reading performance (Figure 2, blue full arrow).

Zeng, J. et al. Space-confined growth of CsPbBr3 film achieving photodetectors with high performance in all figures of merit.

The data parallel approach, that is, the parallelization paradigm that subdivides the data to analyse among almost independent processes, is a suitable solution for many kinds of Big Data analysis that results in high scalability and performance figures.