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DTSTART:19700308T020000
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DTSTAMP:20260522T150119Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess322_post134@linklings.com
SUMMARY:A Locality and Memory Congestion-Aware Thread Mapping Method for M
 odern NUMA Systems
DESCRIPTION:Mulya Agung, Muhammad Alfian Amrizal, Ryusuke Egawa, and Hiroy
 uki Takizawa (Tohoku University)\n\nOn modern NUMA systems, the memory con
 gestion problem could degrade performance more than the memory access loca
 lity problem because a large number of processor cores in the systems can 
 cause heavy congestion on memory controllers. In this work, we propose a t
 hread mapping method that considers the spatio-temporal communication beha
 vior of multi-threaded applications to improve the locality and to reduce 
 the memory congestion on modern NUMA systems. We evaluate the proposed met
 hod using NPB applications on a NUMA system. Experiments show that our pro
 posed method can achieve up to 20% performance improvement compared with l
 ocality-based and balance-based methods.\n\nRegistration Category: Tech Pr
 ogram Reg Pass, Exhibits Reg Pass\n\n
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