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Calendar of Events
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Arnab Nandi (OSU): Data Exploration in a Camera-first World: Query and Result Challenges
Arnab Nandi (OSU): Data Exploration in a Camera-first World: Query and Result Challenges
Prof. Arnab Nandi Associate Professor, Computer Science and Engineering The Ohio State University Friday, October 11, 2024 at 11 a.m. Donald Bren Hall 6011 Title: "Data Exploration in a Camera-first World: Query and Result Challenges" Abstract: The pervasive availability of cameras in smartphones, vehicles, drones and more has triggered a new "camera-first" data revolution across […]
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Nika Mansouri Ghiasi (ETH): Storage-Centric Computing for Genomics and Metagenomics
Nika Mansouri Ghiasi (ETH): Storage-Centric Computing for Genomics and Metagenomics
Title: Storage-Centric Computing for Genomics and Metagenomics Abstract Genomics and metagenomics applications have enabled significant advancements in many critical areas. The exponential growth of genomic data poses unprecedented challenges in genomics and metagenomic applications. These applications suffer from significant data movement overheads from the storage system. To fundamentally address these overheads, we make a case […]
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Yannis Papakonstantinou (Google): Vector Search and Databases
Yannis Papakonstantinou (Google): Vector Search and Databases
Yannis Papakonstantinou Distinguished Engineer, Query Processing and GenAI at Google Cloud Databases Abstract: Semantic search ability, via embedding (vectors) and vector indexing, has been added to Google Cloud Platform (GCP) databases in order to enable GenAI applications. The inclusion of vectors in databases confers many of the traditional benefits of databases: Developers can now develop […]
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Michael Jungmair (TU Munich): A Compiler-Centric Query Engine Design for Mixed Workloads and Modern Hardware
Michael Jungmair (TU Munich): A Compiler-Centric Query Engine Design for Mixed Workloads and Modern Hardware
A Compiler-Centric Query Engine Design for Mixed Workloads and Modern Hardware 11/1/2024, 1:00 PM 2 PM, DBH 3011 Michael Jungmair, Technical University of Munich, Germany Abstract: Relational query engines are increasingly expected to handle more than just relational queries and also run on modern hardware that is increasingly parallel and distributed. However, it is not clear how existing system designs can deal with these two challenges effectively. We propose a holistic, compiler-centric design for data processing systems that is designed for tightly integrated optimization and execution of relational queries, non-relational workloads and user-defined functions on modern hardware. Bio: Michael Jungmair is a third year PhD student at the Technical University of Munich. Supervised by Jana Giceva, he is performing research in the intersection of database engines and compiler technology. So far, this research culminated in the design and implementation of LingoDB (lingo-db.com), a novel query engine based on the MLIR compiler framework
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