Sentence examples for performance in parallel from inspiring English sources

Exploring the multi-core architecture is an important issue to obtaining high performance in parallel and distributed discrete-event simulations.

We develop a passive water management system that minimizes this loss by enabling stable, flood-free performance in parallel channel architectures, at very low air stoichiometries.

Results indicate that the parallel DP algorithm exhibits good performance in parallel efficiency; the parallel DP algorithm is scalable and will not be restricted by the number of cores.

This camera will be used experimentally (development mode) in order to obtain an integrated knowledge of its function and perhaps to improve its performance in parallel with an existing one, which has shown a very good performance in phantom, small animal, SPECT technique and is currently being tested for clinical applications.

Coactivation closely follows the principles of Hebbian learning and induces improvement of tactile performance in parallel to cortical reorganization [50], [55], [56].

To conclude, the cultivation of hMSCs in 96 well non adhesive plates facilitates an easy way to cultivate homogenous cellular aggregates with high performance efficiency in parallel.

Third, these changes in ventricular volumes and performance occur in parallel in both the right and left ventricles.

It addresses and provides generally applicable solutions for several performance bottlenecks in parallel phylogentic likelihood calculations on partitioned alignments.

To show how performance improves in parallel mode, we compared the run times for two network models, one large (123,517 neurons with on average 1,835 synapses per neuron) and one small (9,881 neurons with on average 256 synapses per neuron), using VERTEX on a single multicore computer (Fig.  4).

This indicates that SCALE-LES has excellent scalability and a reasonable performance in massive parallel computing.

The proposed priority-based GA has show effective performance in various parallel environments for scheduling methods.