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DTSTART:19700308T020000
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DTSTAMP:20230124T171520Z
LOCATION:C146
DTSTART;TZID=America/Chicago:20221113T161500
DTEND;TZID=America/Chicago:20221113T170000
UID:submissions.supercomputing.org_SC22_sess424_misc131@linklings.com
SUMMARY:Invited Talk: Hybrid AI/HPC Approaches and Linear Algebra
DESCRIPTION:Workshop\n\nInvited Talk: Hybrid AI/HPC Approaches and Linear
Algebra\n\nEmad\n\nWe present a brief overview of machine learning techniq
ues and show that certain methods of linear algebra such as the eigenvalue
problem or more generally singular value decomposition constitute the fou
ndations of these techniques. We consider some examples of applications by
highlighting the essential role of these methods. The ever-increasing pro
duction of data requires new methodological and technological approaches t
o meet the challenge of their effective analyzes. A new machine learning a
pproach based on the Unite and Conquer methods will be presented. This int
rinsically parallel and scalable technique can be implemented with synchro
nous or asynchronous communications. Experimental results, demonstrating t
he interest of the approach for an effective analysis of data in the case
of clustering and anomaly detection will be presented.\n\nSession Format:
Recorded\n\nTag: Algorithms, Exascale Computing, Extreme Scale Computing,
Heterogeneous Systems, Post-Moore Computing, Quantum Computing\n\nRegistra
tion Category: Workshop Reg Pass
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