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LOCATION:605
DTSTART;TZID=America/Denver:20231112T105800
DTEND;TZID=America/Denver:20231112T111800
UID:submissions.supercomputing.org_SC23_sess414_ws_hust101@linklings.com
SUMMARY:CaRV – Accelerating Program Optimization through Capture, Replay, 
 Validate
DESCRIPTION:Parinaz Barakhshan and Rudolf Eigenmann (University of Delawar
 e)\n\nWe present a new methodology and tool that speeds up the process of 
 optimizing science and engineering programs. The tool, called CaRV (Captur
 e, Replay, and Validate), enables users to experiment quickly with large a
 pplications, comparing individual program sections before and after optimi
 zations in terms of efficiency and accuracy. Using language-level checkpoi
 nting techniques, CaRV captures the necessary data for replaying the exper
 imental section as a separate execution unit after the code optimization a
 nd validating the optimization against the original program. The tool redu
 ces the amount of time and resources spent on experimentation with long-ru
 nning programs by up to two orders of magnitude, making program optimizati
 on more efficient and cost-effective.\n\nTag: Programming Frameworks and S
 ystem Software\n\nRegistration Category: Workshop Reg Pass\n\nSession Chai
 rs: Chris Bording (University of Western Australia); Elsa J. Gonsiorowski 
 (Lawrence Livermore National Laboratory (LLNL)); Lev Gorenstein (Globus, U
 niversity of Chicago); and Karen Tomko (Ohio Supercomputer Center)\n\n
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