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DTSTART:19700308T020000
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DTSTAMP:20260202T201229Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251118T080000
DTEND;TZID=America/Chicago:20251118T170000
UID:submissions.supercomputing.org_SC25_sess537_drs103@linklings.com
SUMMARY:Structural Equation Modeling for Heterogeneous Platforms
DESCRIPTION:Steven Harris (Washington University in St. Louis)\n\nHeteroge
 neous platforms introduce new complexities into performance modeling and p
 rediction. The intrinsic performance asymmetries found in these platforms 
 require radically different approaches to manage the compute diversity of 
 this polymorphic architectural design space. Core heterogeneity augments o
 ur traditional notion of compute semantics, making simply defining the num
 ber of compute units of a given speed no longer sufficient. Workload adapt
 ation and complexity mitigation is no longer simply a question of volume (
 number of cores) but also constitution (types of cores). To ensure perform
 ance portability of workloads on these platforms requires an understanding
  of and investigation into the interactions of workloads, compute units, a
 nd parameters that create a spectrum of performance opportunities extendin
 g across classes of platforms. \n\nUsing the Orange Pi 5, a heterogeneous 
 asymmetric multiprocessing platform (AMP), to examine this prolific domain
 , we embark on a principled analysis journey into the performance implicat
 ions of classical workloads (i.e., matrix-matrix multiply) on these platfo
 rms. We demonstrate techniques enabling complexity mitigation and performa
 nce portability across compute unit groups. Finally, by applying structura
 l equation modeling (SEM) to this reference platform, we discover the most
  critical components impacting performance for these classical workloads, 
 revealing component interactions affecting platform performance, and artic
 ulating the impact of parameter effects on platform performance using a no
 vel and unprecedented approach in computer engineering.\n\nTag: Research &
  ACM SRC Posters\n\nRecording: Not Livestreamed, Not Recorded\n\nRegistrat
 ion Category: Technical Program Reg Pass\n\nSession Chairs: Kento Sato (RI
 KEN Center for Computational Science (R-CCS)); Chris Schlipalius (Pawsey S
 upercomputing Research Centre; Commonwealth Scientific and Industrial Rese
 arch Organisation (CSIRO), Australia); and Anja Gerbes (Georg-August-Unive
 rsität Göttingen)\n\n
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