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UID:submissions.supercomputing.org_SC24_sess533_post197@linklings.com
SUMMARY:Scalable Performance and Accuracy Analysis for Distributed and Ext
 reme-Scale Systems
DESCRIPTION:Heike Jagode (University of Tennessee, Innovative Computing La
 boratory (ICL); University of Tennessee); Shirley Moore (University of Tex
 as at El Paso); Vincent Weaver (University of Maine); Anthony Danalis (Uni
 versity of Tennessee, Innovative Computing Laboratory (ICL)); and Christop
 h Lauter (University of Texas at El Paso)\n\nThe Scalable Performance and 
 Accuracy analysis for Distributed and Extreme-scale systems (SPADE) projec
 t focuses on advancing monitoring, optimization, evaluation, and decision-
 making capabilities for extreme-scale systems. This poster presents effort
 s targeting several advanced monitoring capabilities, including developing
  support for AMD's new RocProfiler SDK to enable the analysis of hardware 
 performance counters on AMD APUs, such as the MI300, which will be integra
 ted into El Capitan. Another effort involves extending the PAPI library fo
 r heterogeneous CPU support, allowing users to simultaneously monitor the 
 performance of chips that support both high-end and low-end processors, en
 abling more effective tuning between various cores. Additionally, the proj
 ect includes the development of a Python version of PAPI (cyPAPI), specifi
 cally for use with frameworks and tools being developed for Python in HPC 
 environments. This effort extends to exploring beta versions of cyPAPI wit
 h PyTorch to advance decision-making capabilities for mixed-precision tuni
 ng of machine learning applications.\n\nRegistration Category: Tech Progra
 m Reg Pass, Exhibits Reg Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-A
 lexander University, Erlangen-Nuremberg; Erlangen National High Performanc
 e Computing Center); Sally Ellingson (University of Kentucky); and Alan Su
 ssman (University of Maryland)\n\n
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