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DTSTAMP:20250626T234541Z
LOCATION:B302-B305
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UID:submissions.supercomputing.org_SC24_sess487_post110@linklings.com
SUMMARY:Hardware-Independent Sampling Library for CPUs and (Multi-)GPUs: h
 ws
DESCRIPTION:Marcel Breyer (University of Stuttgart, Germany; Institute for
  Parallel and Distributed Systems) and Alexander Van Craen and Dirk Pflüge
 r (University of Stuttgart, Germany; University of Stuttgart, Institute fo
 r Parallel and Distributed Systems)\n\nTo be energy efficient and fully ut
 ilize modern hardware, it is important to gain as much insight as possible
  into the performance and efficiency of an application. Especially in the 
 age of artificial intelligence, it gets more and more important to keep, e
 .g., track of the total energy consumption of an application. However, gat
 hering this hardware information in a vendor-independent and portable way 
 is far from trivial. \n\nTherefore, we propose the small, easy-to-use hard
 ware sampling library "hws" for Python and C++, which makes it extremely e
 asy to gather hardware information like CPU/GPU utilization, clock frequen
 cies, power and memory consumption, or temperatures for CPUs as well as GP
 Us from NVIDIA, AMD, and Intel. \n\nWe further demonstrate the usefulness 
 of our sampling library on the example of PLSSVM, a (multi-)GPU LS-SVM imp
 lementation.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg
  Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-Alexander University, Erl
 angen-Nuremberg; Erlangen National High Performance Computing Center); Sal
 ly Ellingson (University of Kentucky); and Alan Sussman (University of Mar
 yland)\n\n
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