Title
The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution
Abstract
We present simulations of blood and cancer cell separation in complex microfluidic channels with subcellular resolution, demonstrating unprecedented time to solution, performing at 65.5% of the available 39.4 PetaInstructions/s in the 18, 688 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 computational setup emulates the conditions and the geometric complexity of microfluidic experiments and our results reproduce the experimental findings. These simulations provide sub-micron 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.
Year
DOI
Venue
2015
10.1145/2807591.2807677
International Conference for High Performance Computing, Networking, Storage, and Analysis
Keywords
Field
DocType
Supercomputing, time-to-solution, peak performance, irregular codes, dissipative particle dynamics, microfluidics simulations, blood analytics, circulating tumor cells
Dissipative particle dynamics,Supercomputer,Computer science,Microfluidics,Parallel computing,Computational science,Titan (supercomputer),Throughput,Lab-on-a-chip,Petascale computing,Integrated circuit
Conference
ISBN
Citations 
PageRank 
978-1-5090-0273-3
6
0.54
References 
Authors
14
13