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LOCATION:B309
DTSTART;TZID=America/New_York:20241118T142700
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UID:submissions.supercomputing.org_SC24_sess753_ws_whpc107@linklings.com
SUMMARY:SimPoint++: Less Simulation Points
DESCRIPTION:Si Chen (Emory University); Simon Garcia De Gonzalo (Sandia Na
 tional Laboratories); and Avani Wildani (Cloudflare, Emory University)\n\n
 SimPoint has a wide-ranging impact on computer architecture research for a
 utomatically finding a small set of simulation points to represent the com
 plete execution of a program for efficient and accurate simulations. While
  many studies have used SimPoint as part of their methodology, there's bee
 n little consideration of whether the set of Simulation Points that Simpoi
 nt provides is as small as possible. We propose SimPoint++, which replaces
  the BIC method by combining WCSS and Silhouette to find the optimal clust
 er number. The new Python framework of SimPoint++ also provides a dimensio
 n reduction pipeline for effective clustering and supports multi-thread ap
 plication analysis.\nWe evaluate SimPoint++ with Spec CPU 2017 benchmarks.
  SimPoint++ achieves comparable or higher accuracy with significantly fewe
 r simulation points, resulting in a 5x speed-up in simulation time compare
 d to state-of-the-art solutions.\n\nTag: Broader Engagement, HPC in Societ
 y, Inclusivity\n\nRegistration Category: Workshop Reg Pass\n\nSession Chai
 rs: Elsa J. Gonsiorowski (Lawrence Livermore National Laboratory (LLNL)) a
 nd Mozhgan Kabiri chimeh (NVIDIA Corporation)\n\n
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