Sentence examples for high levels of parallelism from inspiring English sources

Heterogeneous chips, equipped with different types of cores and memory, will force application developers to deal with irregular communication patterns, high levels of parallelism, and unexpected behavior.

One successful approach is exploring novel massively-parallel Natural-inspired algorithms, such as the Ant Colony Optimization (ACO) algorithm, through the exploitation of high-throughput accelerators such as GPUs, which are designed to provide high levels of parallelism and low Energy per instruction (EP) cost through heavy vectorization.

In this way, the simulator can exploit the high level of parallelism of modern multicore computer architectures.

Parallel performance results obtained in terms of speed-up and efficiency are presented to demonstrate the high level of parallelism inherent in the time domain BEM.

Networks on-chip (NoCs) are emerging as a viable solution to the existing interconnection architectures which are especially characterized by high level of parallelism, high performances and scalability.

In addition, it generates plans with a high level of parallelism, it supports a rich declarative language for expressing extended goals, and allows for continual plan revision to deal with sensing outputs, failures, long response times or timeouts, as well as the activities of external agents.

Using ASIC can result better frequency performance coupled with high level of parallelism and low power consumption.

It would be preferable to maintain a consistent high level of parallelism throughout execution, and a variety of schemes could be used to achieve this.

FPGAs can have a slightly better performance/cost trade-offs than previous two, since it permits high level of parallelism coupled with some design flexibility.

The capability of GPUs have been impelled by their high level of parallelism and their ability to perform geometric primitive and floating point operations in a fast and efficient way.

This high level of parallelism for speeding up L-GRAAL's computations is very promising as it allows it to scale with the future growth of the interaction data.