Cardioid is a cardiac multiscale simulation suite spanning from subcellular mechanisms up to simulations of organ-level clinical phenomena. The suite contains tools for simulating cardiac electrophysiology, cardiac mechanics, torso-ECGs, cardiac meshing, and fiber-generation tools.

This project’s history goes back a few years – it was a finalist for the 2012 Gordon Bell Prize – but only now is the code available as open source. Initially developed by a team of LLNL and IBM scientists, Cardioid divides the heart into a large number of manageable subdomains. This replicates the electrophysiology of the human heart, accurately simulating the activation of each heart muscle cell and cell-to-cell electric coupling.

• Cardioid on GitHub - for best results, compile with Spack
• Video: The Cardioid Project: Simulating the Human Heart on One of the World’s Fastest Supercomputers
• Science & Technology Review article: Venturing into the Heart of High-Performance Computing Simulations
• Science & Technology Review article: Reaching for New Computational Heights with Sequoia - Cardioid helped set speed records for the Sequoia supercomputer by clocking in at nearly 12 petaflops while scaling with better than 90% parallel efficiency across all 1,572,864 cores