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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20220812T074334Z
LOCATION:Samarkand Room
DTSTART;TZID=Europe/Stockholm:20220627T143000
DTEND;TZID=Europe/Stockholm:20220627T150000
UID:submissions.pasc-conference.org_PASC22_sess129_msa106@linklings.com
SUMMARY:Building Smart and Fast Systems using Machine Learning and Compute
 r Vision
DESCRIPTION:Minisymposium\n\nBuilding Smart and Fast Systems using Machine
  Learning and Computer Vision\n\nDoudali\n\nNowadays, high performance com
 puting platforms use a mix of different hardware technologies, as a way to
  scale application performance, resource capacities and achieve cost effec
 tiveness. However, this heterogeneity, along with the greater irregularity
  in the behavior of emerging workloads, render existing resource managemen
 t approaches ineffective. In the first part of this talk, I will describe 
 how we can use machine learning methods at the operating system-level, in 
 order to make smarter resource management decisions and speed up applicati
 on performance. In the second part of the talk, I will present how we can 
 accelerate certain components of such systems using visualization and comp
 uter vision methods. Finally, I will conclude with my vision of coupling m
 achine learning and computer vision at the operating system-level and pres
 ent open problems and opportunities at the intersection of these research 
 areas.\n\nDomain: Computer Science and Applied Mathematics, Engineering
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