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X-WR-CALNAME:Computer Science and Engineering
X-ORIGINAL-URL:https://homecse.iitd.ac.in
X-WR-CALDESC:Events for Computer Science and Engineering
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TZID:Asia/Kolkata
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DTSTART:20260101T000000
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DTSTART;TZID=Asia/Kolkata:20260528T110000
DTEND;TZID=Asia/Kolkata:20260528T120000
DTSTAMP:20260922T093738
CREATED:20260515T060527Z
LAST-MODIFIED:20260515T060527Z
UID:2523-1779966000-1779969600@homecse.iitd.ac.in
SUMMARY:Faster Queries\, Smarter Execution: Factorization Meets Vectorization in Modern Data Systems
DESCRIPTION:Abstract:\n\nThis talk explores a novel approach to speeding up complex database queries by combining two powerful ideas: factorization and vectorized execution. Instead of processing large intermediate results (which can be slow and memory-intensive)\, the method represents data in a compact\, factorized form that avoids redundancy. It also applies vectorized processing techniques to process data efficiently at the hardware level.\n\nSpeaker Bio:\nSunny Yasser is a PhD student in Computer Engineering at Polytechnique Montréal\, in the Data and AI Systems (DAIS) Lab under Prof. Amine Mhedhbi. He is also associated with MILA\, the premier AI research lab started by Prof. Yoshua Bengio. His research centers on high-performance query processing\, with an emphasis on compression-aware execution on modern hardware.  His broader work explores low-level system optimizations for scalable analytical and AI-driven data workloads. He has published papers at VLDB and SIGMOD previously.
URL:https://homecse.iitd.ac.in/event/faster-queries-smarter-execution-factorization-meets-vectorization-in-modern-data-systems/
LOCATION:Bharti 501\, IIT Campus\, Hauz Khas\, New Delhi
CATEGORIES:Seminars
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