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Tuesday, July 21 • 12:30pm - 1:00pm
W2 S06: Cloud-based parallel computing of cellular dynamics in a realistic model of astroglia

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Modeling the dynamics of cellular processes in astrocytes with their realistic, highly complex geometry has been a challenge. We have developed a NEURON-Python-based modeling platform ASTRO that enables parallel processing of cellular signaling within a recreated astrocyte shape using the Amazon Web Service. ASTRO offers a versatile exploration of cell membrane physiology and spatiotemporal calcium dynamics, including multicomponent diffusion-reaction, against multi-disciplinary experimental data. The platform enables users to parallelize the process of calculating intracellular calcium dynamics depending on the availability of computing nodes, virtual machine memory, and cloud service elasticity. Our preliminary results indicate that having built-in tuning options is likely to be the most efficient way to tackle the configuration of virtual machines aiming at the fastest and budget-efficient computations.

Speakers
avatar for Leonid Savtchenko

Leonid Savtchenko

Seniour Research Scientist, University College London


Tuesday July 21, 2020 12:30pm - 1:00pm CEST
Crowdcast (W02)