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DTSTART;TZID=America/New_York:20241118T163900
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UID:submissions.supercomputing.org_SC24_sess756_ws_worksp113@linklings.com
SUMMARY:Laminar 2.0: Serverless Stream Processing with Enhanced Code Searc
 h and Recommendations
DESCRIPTION:Daniel Rotchford and Samuel Evans (University of St Andrews, S
 cotland) and Rosa Filgueira (EPCC, The University of Edinburgh)\n\nThis pa
 per presents Laminar 2.0, an enhanced serverless framework for running dis
 pel4py streaming workflows. Building on Laminar, this version introduces i
 mproved dependency management, client-server functionality, and advanced d
 eep learning models for semantic search. Key innovations include a structu
 ral code-to-code search using simplified parse\nsyntax trees (SPTs) for de
 tecting similar Processing Elements (PEs) or workflows, even from incomple
 te code. Additionally, Laminar 2.0 optimizes text-to-code search through b
 etter pre-\nprocessing of PEs. Our evaluation shows significant performanc
 e improvements over the previous version.\n\nTag: Applications and Applica
 tion Frameworks, Distributed Computing, Middleware and System Software\n\n
 Registration Category: Workshop Reg Pass\n\nSession Chairs: Silvina Caino-
 Lores (French Institute for Research in Computer Science and Automation (I
 NRIA)) and Anirban Mandal\n\n
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