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DTSTART;TZID=America/Denver:20231112T094000
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UID:submissions.supercomputing.org_SC23_sess421_ws_rsdha106@linklings.com
SUMMARY:Value-Based Resource Management at SoC Scale
DESCRIPTION:Serhan Gener, Sahil Hassan, and Ali Akoglu (University of Ariz
 ona)\n\nValue-based resource management heuristics, which are traditionall
 y deployed in heterogeneous HPC systems, maximize system productivity by a
 ssigning resources to each job based on its priority and estimated value g
 ain relative to each job's completion time. We investigate the utility of 
 value-based resource management at heterogeneous SoC scale and demonstrate
  its ability to make effective scheduling decisions for time-constrained j
 obs in oversubscribed systems where system resources are shared by multipl
 e users and applications arrive dynamically. The proposed value-based reso
 urce management approach drops tasks that are estimated to result with low
 er-value gain dynamically with the aim of completing more number of high-v
 alue jobs with a scheduling decision time at 120𝜇s scale. The value-based 
 resource management treats scheduling as a global optimization problem, th
 erefore this study sets a path forward for deploying a unified value-based
  resource management on a system composed of front-end SoC-based edge devi
 ces and a back-end HPC system.\n\nTag: Accelerators, Edge Computing, Heter
 ogeneous Computing\n\nRegistration Category: Workshop Reg Pass\n\nSession 
 Chairs: Ali Akoglu (University of Arizona), Mehmet E Belviranli (Colorado 
 School of Mines), and Seyong Lee (Oak Ridge National Laboratory (ORNL))\n\
 n
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