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DTSTART;TZID=America/New_York:20241118T115400
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UID:submissions.supercomputing.org_SC24_sess750_ws_indis112@linklings.com
SUMMARY:On Scaling Neuronal Network Simulations Using Distributed Computin
 g
DESCRIPTION:Vladimir Omelyusik, Khawar Shehzad, Tyler Banks, Praveen Rao, 
 and Satish Nair (University of Missouri, Columbia)\n\nWe investigated the 
 computational capabilities of FABRIC, a nationwide research infrastructure
  with nearly 40 sites, for scaling neuroscience simulations. From the hard
 ware standpoint, single-site characterization showed that FABRIC is a prom
 ising alternative to conventional neuroscience setups, particularly due to
  the availability of powerful graphics processing units (GPUs). While mult
 i-site simulations are affected by network latency, it becomes less critic
 al for larger networks. From the software perspective, we found that in th
 e popular CoreNEURON library, cell distribution strategy (for parallel exe
 cution) does not affect the simulation time for biologically realistic net
 works, while other cases can be addressed with a minimum k-cut graph parti
 tioning algorithm. Overall, scalability experiments revealed that FABRIC c
 an be used to simulate networks of up to twenty-five thousand cells, with 
 the limiting issue being GPU memory.\n\nTag: Architecture, Data-Intensive,
  Network, Performance Optimization, Quantum Computing, Security, System Ad
 ministration\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs
 : Akbar Kara (Ciena Corporation, SCinet); Anees Al-Najjar (Oak Ridge Natio
 nal Laboratory (ORNL), SCinet); and Nik Sultana (Illinois Institute of Tec
 hnology, SCinet)\n\n
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