FliX flips the indexing paradigm by mapping GPU compute to data buckets and using batch binary search, delivering up to 6.5x lower query latency and 4x better throughput per memory than leading GPU B-trees and LSM-trees.
27th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2020) Technical program,
2 Pith papers cite this work. Polarity classification is still indexing.
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Lumina is a Python informatics framework that unifies multiscale material data using a hierarchical XML schema and dynamic parsing, with an integrated AI assistant for retrieval in extreme regime applications.
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FliX: Flipped-Indexing for Scalable GPU Queries and Updates
FliX flips the indexing paradigm by mapping GPU compute to data buckets and using batch binary search, delivering up to 6.5x lower query latency and 4x better throughput per memory than leading GPU B-trees and LSM-trees.
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Lumina: An AI-Augmented Multiscale Material Informatics Framework for Extreme Aero-Chemo-Thermo-Mechanical Regimes
Lumina is a Python informatics framework that unifies multiscale material data using a hierarchical XML schema and dynamic parsing, with an integrated AI assistant for retrieval in extreme regime applications.