Sentence examples for multiple processors of from inspiring English sources

Our results show many limitations of these networks including the memory contention within a node as the number of communicating processors increased and the limitations of the network interface for communication between multiple processors of different nodes.

The parallel performance of the Newton method is also found to be very good on multiple processors of the Cray C-90 and on the massively parallel thinking machine CM-5, where very fast execution rates (up to 9 Gflops) are found for large problems.

By comparison, little is known about how these multiple processors of mnemonic information work interactively to result in continuously adaptive, experience-dependent behaviors and choices in a complex natural world.

In the present study, 90 days were needed to create maps of O3 levels for an area of 103,110 km at a resolution of 1 km while running multiple processors on a high-powered computer (2.93 GHz 4-core processor and eight concurrent threads with 6 GB RAM).

In the past decade computer designers have taken advantage of the transistor revolution to put multiple processors on one chip.

One of the major benefits of the proposed scheme is that the algorithm could be easily implemented in parallel to take advantage of multiple processors for increased computational efficiency.

We explore the possibility of using multiple processors to improve the encoding and decoding times of Lempel Ziv schemes.

For example, a question that requires multiple processors to answer might need the assistance of someone with expertise in parallel computing.

That is to say, this parallel operation can be distributed to and carried out by multiple processors (for example, four processors) at the base station, in order to expedite convergence of the proposed algorithm.

However, as reported by the authors, the execution presented in the article was performed in desktop machines with multiple processors instead of using HPC environments such as grids or clusters.

For the last 2 decades, scientists have harnessed the power of parallel processing supercomputers--whose multiple processors perform thousands of sophisticated calculations simultaneously--to solve previously intractable numerical problems and create stunning images of everything from genes to galaxies.