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DTSTART;TZID=America/Denver:20231112T093000
DTEND;TZID=America/Denver:20231112T095000
UID:submissions.supercomputing.org_SC23_sess414_ws_hust114@linklings.com
SUMMARY:NPAT - A Power Analysis Tool at NERSC
DESCRIPTION:Andy Zhang (University of California, Los Angeles (UCLA); Lawr
 ence Berkeley National Laboratory (LBNL)) and Sridutt Bhalachandra, SiQi D
 eng, and Zhengji Zhao (Lawrence Berkeley National Laboratory (LBNL))\n\nPo
 wer has recently become a significant limiting factor in supercomputing. I
 t is imperative that future high-performance computing (HPC) systems are e
 nergy-efficient. Efficient system designs necessitate understanding the po
 wer signature of current supercomputing workloads. Additionally, that unde
 rstanding will enable power efficiency improvements in existing systems. W
 ith advancements in power measurement and data collection techniques, many
  computing centers, including NERSC, collect a vast amount of data every s
 econd, including power usage and other performance metrics. However, acces
 s is not straightforward, being a time-consuming process.\n\nWe propose NP
 AT, a power analysis tool that aims to provide easy access to power usage 
 data on the web. It provides a quick and accessible way to view the power 
 usage data of NERSC systems, jobs, and applications. Being implemented in 
 PHP, Javascript, and Python with open-source libraries and modules, it pro
 mises effortless portability to other sites.\n\nTag: Programming Framework
 s and System Software\n\nRegistration Category: Workshop Reg Pass\n\nSessi
 on Chairs: Chris Bording (University of Western Australia); Elsa J. Gonsio
 rowski (Lawrence Livermore National Laboratory (LLNL)); Lev Gorenstein (Gl
 obus, University of Chicago); and Karen Tomko (Ohio Supercomputer Center)\
 n\n
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