Results 241 to 250 of about 2,049,708 (294)

Beyond Blind Trust in Hospital Data Warehouses: Evaluating Real-World Data Accountability. [PDF]

Learn Health Syst
Morohashi A, Yamashita S, Imaizumi T, Sano T, Kuwatsuka Y, Ando M, Shiratori Y.   +6 more
europepmc   +1 more source

Native sparse attention: co-designing algorithms and hardware for practical long-context efficiency. [PDF]

Natl Sci Rev
Yuan J, Zhang M.
europepmc   +1 more source

Underwater biological target detection algorithm based on DVS-YOLO11. [PDF]

Sci Rep
Jia C, Wang L, Gao S, Wang G, Wang X, Han X.   +5 more
europepmc   +1 more source

Multi-query optimization for subgraph isomorphism search

Proceedings of the VLDB Endowment, 2016
Existing work on subgraph isomorphism search mainly focuses on a-query-at-a-time approaches: Optimizing and answering each query separately. When multiple queries arrive at the same time, sequential processing is not always the most efficient.
Junhu Wang, Xuguang Ren
exaly   +2 more sources

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The Vertica Query Optimizer: The case for specialized query optimizers

2014 IEEE 30th International Conference on Data Engineering, 2014
The Vertica SQL Query Optimizer was written from the ground up for the Vertica Analytic Database. Its design and the tradeoffs we encountered during its implementation argue that the full power of novel database systems can only be realized with a carefully crafted custom Query Optimizer written specifically for the system in which it operates.
Nga Tran 0001, Andrew Lamb, Lakshmikant Shrinivas, Sreenath Bodagala, Jaimin Dave   +4 more
openaire   +2 more sources

Query scheduling in multi query optimization

Proceedings 2001 International Database Engineering and Applications Symposium, 2002
Complex queries are becoming commonplace, with the growing use of decision support systems. Decision support queries often have a lot of common sub-expressions within each query, and queries are often run as a batch. Multi query optimization aims at exploiting common sub-expressions, to reduce the evaluation cost of queries, by computing them once and ...
GUPTA, A, SUDARSHAN, S, VISHWANATHAN, S
openaire   +2 more sources

Learned Query Optimizers

Foundations and Trends in Databases
This survey presents recent progress on using machine learning techniques to improve query optimizers in database systems. Centering around a generic paradigm of learned query optimizers, this survey covers several lines of effort on rebuilding or aiding important components in query optimizers (i.e., cardinality estimators, cost models, and plan ...
Bolin Ding, Rong Zhu, Jingren Zhou 0001
openaire   +3 more sources

An architecture for query optimization

Proceedings of the 1982 ACM SIGMOD international conference on Management of data - SIGMOD '82, 1982
We describe an optimizer for relational queries to databases stored as flat files and Codasyl networks. We include sophisticated manipulations on a broad range of direct access structures (DAS's). To achieve this with minimum additional code, we allow operations like sort, scan, and join to apply to DAS's, and categorize indexes and other DAS's in ...
Arnon Rosenthal, David S. Reiner
openaire   +2 more sources

Multiobjective query optimization

Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2001
The optimization of queries in distributed database systems is known to be subject to delicate trade-offs. For example, the Mariposa database system allows users to specify a desired delay-cost tradeoff (that is, to supply a decreasing function u(d), specifying how much the user is willing to pay in order to receive the query results within time d ...
Christos H. Papadimitriou, Mihalis Yannakakis   +1 more
openaire   +1 more source