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DTSTAMP:20250626T233532Z
LOCATION:B302-B305
DTSTART;TZID=America/New_York:20241121T100000
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UID:submissions.supercomputing.org_SC24_sess534_post181@linklings.com
SUMMARY:Bringing It HOME: Analyzing Contention Hotspots Across the Memory 
 Hierarchy with Low Overhead
DESCRIPTION:Dhruv Gajaria and Andrés Márquez (Pacific Northwest National L
 aboratory (PNNL))\n\nThe increasing demand for computing in scientific res
 earch has given rise to memory contention and performance bottlenecks. Exi
 sting solutions often carry high overheads or lack the necessary detail fo
 r effective contention mitigation. To tackle these challenges, we are deve
 loping a powerful tool, HOME (Hierarchy-Oriented Memory Evaluation), which
  can efficiently identify contention by capturing detailed load-store trac
 es and passing them to configurable memory hierarchy models.  \n\nHOME hel
 ps programmers identify the code regions that create contention at various
  memory hierarchy levels. This enables developers to redesign applications
  and optimize memory hierarchy designs efficiently. Our preliminary assess
 ments indicate that HOME can save time by up to 50x compared to the state-
 of-the-art, with an average error rate of 6.51%. We also provide solutions
  for mitigating the impact of sample drops on contention analysis, a commo
 n issue in trace-based analysis.\n\nRegistration Category: Tech Program Re
 g Pass, Exhibits Reg Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-Alexa
 nder University, Erlangen-Nuremberg; Erlangen National High Performance Co
 mputing Center); Sally Ellingson (University of Kentucky); and Alan Sussma
 n (University of Maryland)\n\n
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