Overall, the best speed-up performance that the framework can achieve here is for the cases of running the parallel algorithm on 25 slaves to infer networks for dataset 4. In other words, the parallel iGA-PSO is 8.28 times faster than the sequential iGA-PSO on a single machine.
It does not only speed up our framework, but also get extra performance gains.
To assess the practicality of the framework, a theoretical analysis of the possible speed-up offered is presented.
We show on complex simulated robotic tasks and in a real robot experiment that the proposed learning framework speeds up the learning process by up to two orders of magnitude in comparison to existing methods, while learning high quality policies.
For example, in order to speed up the current HAFNI framework in the HELPNI system, we developed and integrated an efficient signal sampling module [36] to improve the calculating speed while obtaining comparable results.
Thus, it is obvious that we have a higher probability of converging into local optimum(s) or global optimum s), and thus, this framework speeds up the previous search process.
Devver, a TechStars startup, is releasing its developer service to speed up running Ruby testing frameworks.
This framework has resulted in significant development for a number of problems ranging from speeding up training to model compression.
The experimental results on 22 benchmark functions show that the DFS framework can speed up convergence rate in most cases.
The proposed framework offers speed-ups of more than three orders of magnitude when compared to cycle-accurate 3D MPSoC thermal simulators.
The heavy computation imposed by ASIFT feature detection and image registration is handled by processes designed in MapReduce framework to speed up the localization service.
