<--- Back to Details
First PageDocument Content
Information retrieval / Information science / Computing / Hashing / Sorting algorithms / Search algorithms / Database management systems / Hash join / Sort-merge join / Hash function / Merge algorithm / Hash table
Date: 2015-08-14 19:41:23
Information retrieval
Information science
Computing
Hashing
Sorting algorithms
Search algorithms
Database management systems
Hash join
Sort-merge join
Hash function
Merge algorithm
Hash table

Memory Footprint Matters: Efficient Equi-Join Algorithms for Main Memory Data Processing

Add to Reading List

Source URL: web.cse.ohio-state.edu

Download Document from Source Website

File Size: 223,16 KB

Share Document on Facebook

Similar Documents

F. Kordon - Sorbonne Université - CC2018  Building and verifying a Logging entity over Distributed Hash Tables Join work with X. Bonnaire, R. Cortes & O. Marin

F. Kordon - Sorbonne Université - CC2018 Building and verifying a Logging entity over Distributed Hash Tables Join work with X. Bonnaire, R. Cortes & O. Marin

DocID: 1u4Na - View Document

Memory Footprint Matters: Efficient Equi-Join Algorithms for Main Memory Data Processing

Memory Footprint Matters: Efficient Equi-Join Algorithms for Main Memory Data Processing

DocID: 1rmpD - View Document

Automatic selection of table areas in documents for information extraction Ana Costa e Silva1, Alípio Jorge2, Luís Torgo2 1  2

Automatic selection of table areas in documents for information extraction Ana Costa e Silva1, Alípio Jorge2, Luís Torgo2 1 2

DocID: 1r2A4 - View Document

Hyracks: A Flexible and Extensible Foundation for Data-Intensive Computing Vinayak Borkar, Michael Carey, Raman Grover, Nicola Onose, Rares Vernica Computer Science Department, University of California, Irvine Irvine, CA

Hyracks: A Flexible and Extensible Foundation for Data-Intensive Computing Vinayak Borkar, Michael Carey, Raman Grover, Nicola Onose, Rares Vernica Computer Science Department, University of California, Irvine Irvine, CA

DocID: 1qOF4 - View Document

Aggregating Information in Peer-to-Peer Systems for Improved Join and Leave∗ Keno Albrecht, Ruedi Arnold, Michael G¨ahwiler, Roger Wattenhofer Swiss Federal Institute of Technology Department of Computer Science 8092

Aggregating Information in Peer-to-Peer Systems for Improved Join and Leave∗ Keno Albrecht, Ruedi Arnold, Michael G¨ahwiler, Roger Wattenhofer Swiss Federal Institute of Technology Department of Computer Science 8092

DocID: 1qD3a - View Document