Sentence examples for exploit tasks from inspiring English sources

The proposed approach consists of two phases: an offline phase where we adopt a multi-frame task model to perform the task-to-core mapping so as to improve the schedulability and the performance of the system and an online phase where we use the work-stealing algorithm to exploit tasks' parallelism among cores with the aim of improving the system responsiveness.

In order to exploit task level parallelism on modern many-core architectures, the applications spawn more and more tasks to the available computing resources.

In our framework, we exploit task-level parallelism by manually partitioning applications into several parallel processes using the SAccO communication API for data streams.

In this paper we consider optimization as an approach for quickly and flexibly developing hybrid cognitive capabilities that are efficient, scalable, and can exploit task knowledge to improve solution speed and quality.

With some optimism, respondents emphasised that in order to exploit task shifting as a positive incentive for rural retention of health workers, its implementation should be accompanied or rather reinforced by additional incentives and effective supportive supervision.

Our methods can be used to infer more accurate task specific models by exploiting task similarities.

For the conventional x86 architectures, our approach exploits task parallelism via the OmpSs runtime as well as a message-passing implementation based on MPI, respectively yielding a dynamic and static schedule of the work to the cores, with different numeric semantics to those of the sequential ILUPACK.

Ideally, the best strategy is to implement dynamic scheduling, illustrated in Algorithm 3, that exploits task-level parallelism and data parallelization effectively by dynamically identifying the best resource mapping for upcoming tasks and data transfer.

Novel algorithm will contain large parts of not functional code, but essential for exploiting housekeeping tasks.

They focus on exploiting the task parallelism of the algorithms, and results prove that this approach provides remarkable performance.

These devices are characterized by a different computation paradigm, focusing on exploiting the task parallelism of the algorithms [14].