Work

The in-silico lab-on-a-chip

Year: 2015

Type: conference-paper

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.

Source: 2012 International Conference for High Performance Computing, Networking, Storage and Analysis

DOI: 10.1145/2807591.2807677

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

Institutions: ETH Zurich, Brown University, Università della Svizzera italiana, National Research Council, Nvidia (United States), Oak Ridge National Laboratory

Language: English

Topic: Microfluidic and Bio-sensing Technologies

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: U.S. Department of Energy, Branco Weiss Fellowship – Society in Science, Centro Svizzero di Calcolo Scientifico, National Supercomputing Centre Singapore, National Institutes of Health, University of Illinois at Urbana-Champaign, Office of Science, European Research Council, Oak Ridge National Laboratory

Awards: G121915436, G1528409558, G1645119126, G203625172, G2497821695, G2584197162, G2988778103, G3049477530, G4423657506, G6486853205, G675320460, G6911681599, G8269158468, Multiscale Modeling of Sickle Cell Anemia: Methods and Validation, G8906985441, G9000059359

OpenAlex ID: W2081313457

FWCI: 8.255

Cites: 69

Cited by: 28

Related to: 10