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DTSTART;TZID=America/Chicago:20251120T155200
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UID:submissions.supercomputing.org_SC25_sess303_pap414@linklings.com
SUMMARY:Microscopic-Level Mouse Whole Cortex Simulation Composed of 9 Mill
 ion Biophysical Neurons and 26 Billion Synapses on the Supercomputer Fugak
 u
DESCRIPTION:Rin Kuriyama and Kaaya Akira (The University of Electro-Commun
 ications); Laura Green, Beatriz Herrera, and Kael Dai (Allen Institute); M
 ari Iura (The University of Electro-Communications); Gilles Gouaillardet a
 nd Asako Terasawa (The Research Organization for Information Science and T
 echnology); Taira Kobayashi (Yamaguchi University); Jun Igarashi (RIKEN Ce
 nter for Computational Science (R-CCS)); Anton Arkhipov (Allen Institute);
  and Tadashi Yamazaki (The University of Electro-Communications)\n\nUnders
 tanding the brain remains a major scientific challenge due to its complex 
 structure and function. Unlike artificial neural networks, the biological 
 brain features diverse biophysical properties essential to its function. B
 uilding an accurate digital replica using extensive anatomical and physiol
 ogical data, which are available in standardized public databases, has eme
 rged as a promising approach. In this study, a lightweight biophysical neu
 ron simulator was developed and optimized to the supercomputer Fugaku. Goo
 d strong scaling was demonstrated in a benchmark model up to 152,064 compu
 te nodes with 7.13 petaflops performance. In a more realistic scenario, a 
 whole cerebral cortex of a mouse, consisting of 9 million biophysical neur
 ons and 26 billion synapses, was simulated on the full-scale Fugaku with 1
 45,728 nodes. These suggest that the present high performance computing te
 chnology is ready to support the construction of a digital replica of the 
 whole mammalian brain.\n\nTag: Applications\n\nRecording: Livestreamed, Re
 corded\n\nRegistration Category: Technical Program Reg Pass\n\nSession Cha
 ir: Fernando Posada (Oak Ridge National Laboratory (ORNL))\n\n
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