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UID:submissions.supercomputing.org_SC21_sess278_rpost149@linklings.com
SUMMARY:Fusion Research Using Azure A100 HPC instances
DESCRIPTION:Posters, Research Posters\n\nFusion Research Using Azure A100 
 HPC instances\n\nSfiligoi, Candy, Subramanian\n\nFusion simulations have i
 n the past required the use of leadership scale HPC resources to produce a
 dvances in physics. One such package is CGYRO, a premier multi-scale plasm
 a turbulence simulation code. CGYRO is a typical HPC application that woul
 d not fit into a single node, as it requires O(100 GB) of memory and O(100
  TFLOPS) worth of compute for relevant simulations. When distributed acros
 s multiple nodes, CGYRO requires high-throughput and low-latency networkin
 g to effectively use the compute resources. While in the past such compute
  may have required hundreds, or even thousands of nodes, recent advances i
 n hardware capabilities allow for just a couple of nodes to deliver the ne
 cessary compute power. This paper presents our experience running CGYRO on
  NVIDIA A100 GPUs on InfiniBand-connected HPC resources in the Microsoft A
 zure Cloud. A comparison to older generation CPU and GPU Azure resources a
 s well as on-prem resources is also provided.\n\nRegistration Category: Te
 ch Program Reg Pass, Exhibit Hall Only
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