Selected article for: "computational efficiency and large scale"
Author: Yafei Wang; Randy Heiland; Morgan Craig; Courtney L. Davis; Ashlee N Ford Versypt; Adrianne Jenner; Jonathan Ozik; Nicholson Collier; Chase Cockrell; Andrew Becker; Gary An; James A. Glazier; Aarthi Narayanan; Amber M Smith; Paul Macklin
Title: Rapid community-driven development of a SARS-CoV-2 tissue simulator
  • Document date: 2020_4_5
    • ID: lq4tcyh4_89
    Snippet: Relevant applications of PhysiCell-powered models have included modeling cancer nanotherapy 88 , oncolytic virus therapies 89 , tissue biomechanical feedbacks during tumor metastatic seeding 90 , and cancer immunology 82, 91, 92 . The platform has been built with a focus on computational efficiency and cross-platform compatibility: the same source code can be compiled and run without modification on Linux, OSX, and Windows, and simulations of up .....
    Document: Relevant applications of PhysiCell-powered models have included modeling cancer nanotherapy 88 , oncolytic virus therapies 89 , tissue biomechanical feedbacks during tumor metastatic seeding 90 , and cancer immunology 82, 91, 92 . The platform has been built with a focus on computational efficiency and cross-platform compatibility: the same source code can be compiled and run without modification on Linux, OSX, and Windows, and simulations of up to 10 diffusing substrates on 10 mm 3 of tissue with 10 4 to 10 6 cells are routinely performed on desktop workstations. The platform has been combined with high-throughput computing 91 and active learning techniques 92 to power large-scale model exploration on high performance computing resources.

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