Algorithm Engineering and Experimentation (Record no. 188280)
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001 - CONTROL NUMBER | |
control field | 978-3-540-48518-6 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240423132503.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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fixed length control field | 121227s1999 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783540485186 |
-- | 978-3-540-48518-6 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1007/3-540-48518-X |
Source of number or code | doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | QA76.6-76.66 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UM |
Source | bicssc |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | COM051000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UM |
Source | thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.11 |
Edition number | 23 |
245 10 - TITLE STATEMENT | |
Title | Algorithm Engineering and Experimentation |
Medium | [electronic resource] : |
Remainder of title | International Workshop ALENEX'99 Baltimore, MD, USA, January 15-16, 1999, Selected Papers / |
Statement of responsibility, etc | edited by Michael T. Goodrich, Catherine C. McGeoch. |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 1999. |
264 #1 - | |
-- | Berlin, Heidelberg : |
-- | Springer Berlin Heidelberg : |
-- | Imprint: Springer, |
-- | 1999. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | VIII, 356 p. |
Other physical details | online resource. |
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-- | computer |
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-- | rdamedia |
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-- | online resource |
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-- | rdacarrier |
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-- | text file |
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-- | rda |
490 1# - SERIES STATEMENT | |
Series statement | Lecture Notes in Computer Science, |
International Standard Serial Number | 1611-3349 ; |
Volume number/sequential designation | 1619 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Combinatorial Algorithms -- Efficient Implementation of the WARM-UP Algorithm for the Construction of Length-Restricted Prefix Codes -- Implementing Weighted b-Matching Algorithms: Insights from a Computational Study -- Designing Practical Efficient Algorithms for Symmetric Multiprocessors -- Circular Drawings of Biconnected Graphs -- Heuristics and Experimental Design for Bigraph Crossing Number Minimization -- Binary Space Parititions in Plücker Space -- Practical Point-in-Polygon Tests Using CSG Representations of Polygons -- Software and Applications -- Accessing the Internal Organization of Data Structures in the JDSL Library -- Object-Oriented Design of Graph Oriented Data Structures -- A Case Study on the Cost of Geometric Computing -- Design and Implementation of the Fiduccia-Mattheyses Heuristic for VLSI Netlist Partitioning -- Algorithms for Restoration Planning in a Telecommunications Network -- Computing the n × m Shortest Paths Efficiently -- Image Watermarking for Copyright Protection -- Algorithms for NP-Hard Problems -- A Self Organizing Bin Packing Heuristic -- Finding the Right Cutting Planes for the TSP -- Obstacle-Avoiding Euclidean Steiner Trees in the Plane: An Exact Algorithm -- Data Structures -- Adaptive Algorithms for Cache-efficient Trie Search -- Fast Priority Queues for Cached Memory -- Efficient Bulk Operations on Dynamic R-trees. |
520 ## - SUMMARY, ETC. | |
Summary, etc | Symmetric multiprocessors (SMPs) dominate the high-end server market and are currently the primary candidate for constructing large scale multiprocessor systems. Yet, the design of e cient parallel algorithms for this platform c- rently poses several challenges. The reason for this is that the rapid progress in microprocessor speed has left main memory access as the primary limitation to SMP performance. Since memory is the bottleneck, simply increasing the n- ber of processors will not necessarily yield better performance. Indeed, memory bus limitations typically limit the size of SMPs to 16 processors. This has at least twoimplicationsfor the algorithmdesigner. First, since there are relatively few processors availableon an SMP, any parallel algorithm must be competitive with its sequential counterpart with as little as one processor in order to be r- evant. Second, for the parallel algorithm to scale with the number of processors, it must be designed with careful attention to minimizing the number and type of main memory accesses. In this paper, we present a computational model for designing e cient al- rithms for symmetric multiprocessors. We then use this model to create e cient solutions to two widely di erent types of problems - linked list pre x com- tations and generalized sorting. Both problems are memory intensive, but in die rent ways. Whereas generalized sorting algorithms typically require a large numberofmemoryaccesses, they areusuallytocontiguousmemorylocations. By contrast, prex computation algorithms typically require a more modest qu- tity of memory accesses, but they are are usually to non-contiguous memory locations. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer programming. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data structures (Computer science). |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Information theory. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Application software. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Algorithms. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial intelligence |
General subdivision | Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer graphics. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Programming Techniques. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data Structures and Information Theory. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer and Information Systems Applications. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Algorithms. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data Science. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer Graphics. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Goodrich, Michael T. |
Relator term | editor. |
Relator code | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | McGeoch, Catherine C. |
Relator term | editor. |
Relator code | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY | |
Title | Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Display text | Printed edition: |
International Standard Book Number | 9783540662273 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Display text | Printed edition: |
International Standard Book Number | 9783662166796 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Lecture Notes in Computer Science, |
-- | 1611-3349 ; |
Volume number/sequential designation | 1619 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://doi.org/10.1007/3-540-48518-X">https://doi.org/10.1007/3-540-48518-X</a> |
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942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks-CSE-Springer |
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