Optimizing Water Cooling Applications on Shared Memory Systems

The Network Search method is not yet widely used in computational simulations due to its high processing time in the solutions’ calculation. In this sense, this paper seeks to analyze the gains achieved with the parallel implementation of the Network Search method algorithm for shared memory systems. The results achieved with the parallel implementation of the algorithm applied in a real water cooling system achieved a reduction of the total execution time by up to 160 times and reduction of energy consumption by up to 60 times. Given the significant reduction of the execution time achieved with the parallelization of the Network Search method, it can be applied in different scientific problems in substitution of other methods that have less accuracy in their results.