BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250626T234543Z
LOCATION:B302
DTSTART;TZID=America/New_York:20241117T155500
DTEND;TZID=America/New_York:20241117T162000
UID:submissions.supercomputing.org_SC24_sess744_ws_memo106@linklings.com
SUMMARY:Multi-Level Memory-Centric Profiling on ARM Processors with ARM SP
 E
DESCRIPTION:Samuel Miksits and Ruimin Shi (KTH Royal Institute of Technolo
 gy); Maya Gokhale (Lawrence Livermore National Laboratory (LLNL)); and Jac
 ob Wahlgren, Gabin Schieffer, and Ivy Peng (KTH Royal Institute of Technol
 ogy)\n\nHigh-end ARM processors are emerging in data centers and HPC syste
 ms, posing as a strong contender to x86 machines. Memory-centric profiling
  is an important approach for dissecting an application’s bottlenecks on m
 emory access and guiding optimizations. Many existing memory profiling too
 ls leverage hardware performance counters and precise event sampling, such
  as Intel PEBS and AMD IBS, to achieve high accuracy and low overhead. In 
 this workshop, we present a multi-level memory profiling tool for ARM proc
 essors, leveraging the Statistical Profiling Extension (SPE). We evaluate 
 the tool using both HPC and cloud workloads on the ARM Ampere processor. O
 ur results provide the first quantitative assessment of time overhead and 
 sampling accuracy of the ARM SPE for memory-centric profiling at different
  sampling periods and aux buffer sizes.\n\nTag: Data Movement and Memory, 
 Emerging Technologies\n\nRegistration Category: Workshop Reg Pass\n\nSessi
 on Chairs: Ron Brightwell (Sandia National Laboratories), Maya Gokhale (La
 wrence Livermore National Laboratory (LLNL)), Kyle Hale (Oregon State Univ
 ersity), and Ivy Peng (KTH Royal Institute of Technology)\n\n
END:VEVENT
END:VCALENDAR