Abstract
We present simulations of blood and cancer cell separation in complex microfluidic channels with subcellular resolution, demonstrating unprecedented time to solution, performing at 42% of the available 39.4 Peta-instructions/s in the 18688 nodes of the Titan supercomputer.
These simulations outperform by one to three orders of magnitude the current state of the art in terms of numbers of simulated cells and computational elements. The simulation setup emulates the conditions and the geometric complexity of microfluidic experiments, and our results reproduce the experimental ndings. These simulations provide submicron spatial resolution while accessing time scales relevant to engineering designs.
We demonstrate an improvement of up to 45X over competing state of the art solvers, thus establishing the frontiers of simulations by particle based methods. Our simulations redefine the role of computational science for the development of microfluidics--a technology that is becoming as important to medicine as integrated circuits have been to computers.
