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Abstract: In the past decade, advances in speed of commodity CPUs have far out-paced advances in memory latency. Main-memory access is therefore increasingly a performance bottleneck for many computer applications, including database systems. In this article, we use a simple scan test to show the severe impact of this bottleneck. The insights gained are translated into guidelines for database architecture; in terms of both data structures and algorithms. We discuss how vertically fragmented... (Update)
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BibTeX entry: (Update)
S. Manegold P. A. Boncz and M. L. Kersten. Database architecture optimized for the new bottleneck: Memory access. In 25nd Intl. Conf. Very Large Databases, September 1999. http://citeseer.ist.psu.edu/boncz99database.html More
@inproceedings{ boncz99database,
author = "Peter A. Boncz and Stefan Manegold and Martin L. Kersten",
title = "Database Architecture Optimized for the New Bottleneck: Memory Access",
booktitle = "The {VLDB} Journal",
pages = "54-65",
year = "1999",
url = "citeseer.ist.psu.edu/boncz99database.html" }
Citations (may not include all citations):2003 The Art of Computer Programming (context) - Knuth - 1968
59 A Decomposition Storage Model (context) - Copeland, Khoshafian - 1985
43 A Study of Index Structures for Main Memory Database Managem.. (context) - Lehman, Carey - 1986
28 Flattening an Object Algebra to Provide Performance - Boncz, Wilschut et al. - 1998
13 DB: A Parallel Main Memory Relational DBMS (context) - Apers, van den Berg et al. - 1992
9 Monet and its Geographical Extensions: a Novel Approach to H.. (context) - Boncz, Quak et al. - 1996
5 The Drill Down Benchmark (context) - Boncz, Ruhl et al. - 1998
4 Modelling Costs for a MM-DBMS (context) - Listgarten, Neimat - 1996
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