The following research is about comparing index structures for large databases, both analytically and experimentally. The study is divided into two main parts. The first part is centered around hash-based indexing and B-trees. Both of which are set in the context of the widely known external memory model. The second part presents the cache-oblivious model, describing its implications on the design of algorithms for any arbitrary pair of memory levels...La siguiente investigación trata sobre comparar estructuras de índice para grandes bases de datos, tanto analíticamente, como experimentalmente. El estudio se encuentra dividido en dos partes principales. La primera parte se centra en índices de hash y B-trees. Ambas estructuras son e...
A recent trend in algorithm design consists of augmenting classic data structures with machine learn...
We present a data structure CORoBTS for storing a search tree with all leaves at the same depth and ...
Learned indexes, which use machine learning models to replace traditional index structures, have sho...
access method, cache consciousness, data locality, data structure, main-memory database The recent h...
Database systems research is an old and well-established field in computer science. Many of the key...
As random access memory gets cheaper, it becomes increasingly affordable to build computers with lar...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Designers of database management systems (DBMS) have traditionally focussed on alleviating the disk ...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Aquest projecte proposa optimitzacions per als algorismes de Machine Learning que es beneficien de l...
AbstractWe present the interpolation search B-tree (ISB-tree), a new cache-aware indexing scheme tha...
As memory becomes cheaper and larger in capacity, more and more databases are being stored entirely ...
© 2020, VLDB Endowment. All rights reserved. Recent advancements in learned index structures propose...
The demand of efficient data structures for query processing on massive data sets has grown tremendo...
We study indexing techniques for main memory, including hash indexes, binary search trees, T-trees, ...
A recent trend in algorithm design consists of augmenting classic data structures with machine learn...
We present a data structure CORoBTS for storing a search tree with all leaves at the same depth and ...
Learned indexes, which use machine learning models to replace traditional index structures, have sho...
access method, cache consciousness, data locality, data structure, main-memory database The recent h...
Database systems research is an old and well-established field in computer science. Many of the key...
As random access memory gets cheaper, it becomes increasingly affordable to build computers with lar...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Designers of database management systems (DBMS) have traditionally focussed on alleviating the disk ...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Aquest projecte proposa optimitzacions per als algorismes de Machine Learning que es beneficien de l...
AbstractWe present the interpolation search B-tree (ISB-tree), a new cache-aware indexing scheme tha...
As memory becomes cheaper and larger in capacity, more and more databases are being stored entirely ...
© 2020, VLDB Endowment. All rights reserved. Recent advancements in learned index structures propose...
The demand of efficient data structures for query processing on massive data sets has grown tremendo...
We study indexing techniques for main memory, including hash indexes, binary search trees, T-trees, ...
A recent trend in algorithm design consists of augmenting classic data structures with machine learn...
We present a data structure CORoBTS for storing a search tree with all leaves at the same depth and ...
Learned indexes, which use machine learning models to replace traditional index structures, have sho...