Proceedings of the 16th Conference on Computer Science and Intelligence Systems

DOI: http://dx.doi.org/10.15439/2021F141

Citation: Proceedings of the 16th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 25, pages 313–316 (2021)

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Abstract. The paper starts with presentation of the details of BGH ODE solver. For the test purposes the set of differential equations, describing heat transfer, has been used. Sequential version of BGH solver has been compared with popular GN solver showing higher efficiency. Profiling of both algorithms has led to the decision of parallelizing linear equation solving section and function evaluation. Threads affinity setting does not enhance processing speed of either algorithm. Finally, it has been proved that parallel version of BGH solver is far more efficient with respect to processing time.

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