This paper, by implementing parallel computing strategies, intends to fill the gap between the well-established acoustic agglomeration models and the comparison of simulated particle acoustic agglomeration processes with experimental measurements in the literature under realistic conditions. In detail, a two-dimensional parallel code is developed including three major particle acoustic agglomeration mechanisms and two particle collision processes. The code shows fair strong and weak scaling performances for intermediate size problems of at least 1 million particles. As for validation, a parametric study is conducted followed by a comparison investigation with experimental measurements from the literature. The parametric study shows that the developed code could provide reasonable predictions on the agglomeration rate with varying influencing factors. In the comparison investigation, comparable agglomeration rate curves and particle concentration distribution could be obtained as those in the experiment and by theory with a reasonable setting of parameters in the agglomeration models. (C) 2020 Elsevier B.V. All rights reserved.