Exact(5)
In [18], a parallel Hough transform for reducing execution time was proposed, but space complexity remains.
Furthermore, the proposed method acknowledges the possibility of improving image quality and simultaneously reducing execution time, based on the saliency map.
This paper explores one of the critical issues, service deployment, for reducing execution time of composite SaaS applications, and proposes an integrated approach to the service deployment problem which takes not only inter-service communication costs but also the potential parallelism among services into consideration.
Price et al. worked on reducing execution time for epidemic analyses by using cloud structures [ 47].
For further reducing execution time and providing better enumeration tools using web servers and stand-alone systems, in this paper, we make use of parallel computing and propose three parallelized algorithms BfsEnumP1-3 by modifying BfsSimEnum, which enumerates molecular tree graphs without addition of multi-edges.
Similar(55)
Besides reducing execution times through distributed computing, Hadoop also supports distributed machine learning through Apache Mahout [5].
Parallel Computing represents a valid solution for reducing execution times in simulations of complex geological processes, such as lava flows, debris flows and, in general, of fluid-dynamic processes.
When a workflow is executed several times, Anduril caches results of components and only executes the components whose configuration has changed since the last run, which reduces execution time significantly.
This concept can remarkably reduce execution time and computing complexity for multi-train simulation.
Chern et al. presented a parallel Hough transform to reduce execution time [18].
As a whole, our approach can help reduce execution time by 6 96% for computation-intensive applications.
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