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Realistic Computer Models
Author(s)
Date Issued
2010-01-01
Date Available
2019-04-11T08:07:09Z
Abstract
Many real-world applications involve storing and processing large amounts of data. These data sets need to be either stored over the memory hierarchy of one computer or distributed and processed over many parallel computing devices or both. In fact, in many such applications, choosing a realistic computation model proves to be a critical factor in obtaining practically acceptable solutions. In this chapter, we focus on realistic computation models that capture the running time of algorithms involving large data sets on modern computers better than the traditional RAM (and its parallel counterpart PRAM) model.
Other Sponsorship
German Science Foundation (DFG) Research Training Group GK-693 of the Paderborn Institute for Scientific Computation (PaSCo)
MADALGO - Center for Massive Data Algorithmics, a Center of the Danish National Research Foundation
Type of Material
Conference Publication
Publisher
Springer
Start Page
194
End Page
236
Series
Lecture Notes in Computer Science (LNCS, volume 5971)
Copyright (Published Version)
2010 Springer
Language
English
Status of Item
Peer reviewed
Journal
Muller-Hannemann, M., Schirra, S. (eds.). Algorithm Engineering: Bridging the Gap between Algorithm Theory and Practice
ISBN
978-3-642-14865-1
ISSN
0302-9743
This item is made available under a Creative Commons License
File(s)
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ajwani_realistic_computer_models.pdf
Size
814.34 KB
Format
Adobe PDF
Checksum (MD5)
98dfd22f810c5c751e2e31774bc7353d
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