Distributed and asynchronous solver for large CPU intensive problems

Solving large-scale scientific problems represents a challenging and large area in numerical optimisation. Devoted techniques may improve the results achieved for these problems. We aimed to design an specific optimisation technique for these problems. In this case, a new swarm-based algorithm based on bees foraging behaviour is presented. This system must rely on large computing infrastructures that present specific characteristics. We designed this algorithm for being executed on the grid. The resulting algorithm improves the results obtained for the large-scale problem described in the paper by other algorithms. It also delivers an optimal usage of the computational resources. This work represents one of the few evidences for solving real large-scale scientific problems with a devoted algorithm using large and complex computing infrastructures. We show the capabilities of this approach when solving these problems.

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► We present a distributed and asynchronous algorithm based on bees foraging behaviour.
► Optimised nuclear fusion devices are achieved with the algorithm.
► Use of distributed computing infrastructures becomes critical for large scale scientific applications.
► Future fusion devices can be designed using these techniques.