Parallel Mass Transfer Simulation of Nanoparticles Using Nonblocking Communication
This paper presents experiences and results obtained in optimizing parallelization of the mass transfer simulation in the High Gradient Magnetic Separation (HGMS) of nano-particles using non-blocking communication techniques in the point-to-point and collective model. The authors study the dynamics of mass transfer statistically in terms of particle volume concentration and the continuity equation, which is solved numerically by using the finite-difference method to compute concentration distribution in the simulation domain at a given time. In the parallel simulation, total concentration data in the simulation domain are divided row-wise and distributed equally to a group of processes. they propose two parallel algorithms based on the row-wise partitioning: algorithms with non-blocking send/receive and non-blocking scatter/gather using the NBC library.