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SCHEDULE: NOV 15-20, 2015

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The In-Silico Lab-on-a-Chip: Petascale and High-Throughput Simulations of Microfluidics at Cell Resolution

SESSION: ACM Gordon Bell Finalist I

EVENT TYPE: Awards Presentations, ACM Gordon Bell Finalists

EVENT TAG(S): Performance, HPC Beginner Friendly, Applications

TIME: 11:00AM - 11:30AM

SESSION CHAIR(S): Taisuke Boku

AUTHOR(S):Diego Rossinelli, Yu-Hang Tang, Kirill Lykov, Dmitry Alexeev, Massimo Bernaschi, Panagiotis Hajidoukas, Mauro Bisson, Wayne Joubert, Christian Conti, George Karniadakis, Massimiliano Fatica, Igor Pivkin, Petros Koumoutsakos



We present simulations of blood and cancer cell separation in complex microfluidic channels with subcellular resolution, demonstrating unprecedented time to solution and performing at 42% of the nominal 39.4 Peta-instructions/s on 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 cells and computational elements. We demonstrate an improvement of up to 30X over competing state-of-the-art solvers, thus setting the frontier of particle based simulations.

The present in silico lab-on-a-chip provides submicron resolution while accessing time scales relevant to engineering designs. The simulation setup follows the realism of the conditions and the geometric complexity of microfluidic experiments, and our results confirm the experimental findings. These simulations redefine the role of computational science for the development of microfluidic devices -- a technology that is becoming as important to medicine as integrated circuits have been to computers.

Chair/Author Details:

Taisuke Boku (Chair) - University of Tsukuba|

Diego Rossinelli - ETH Zurich

Yu-Hang Tang - Brown University

Kirill Lykov - University of Italian Switzerland

Dmitry Alexeev - ETH Zurich

Massimo Bernaschi - National Research Council of Italy

Panagiotis Hajidoukas - ETH Zurich

Mauro Bisson - NVIDIA Corporation

Wayne Joubert - Oak Ridge National Laboratory

Christian Conti - ETH Zurich

George Karniadakis - Brown University

Massimiliano Fatica - NVIDIA Corporation

Igor Pivkin - University of Italian Switzerland

Petros Koumoutsakos - ETH Zurich

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society