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Algorithms and Data Structures for External Memory

Jeffrey Scott Vitter - Nama Orang;

Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. Algorithms and Data Structures for External Memory surveys the state of the art in the design and analysis of external memory (or EM) algorithms and data structures, where the goal is to exploit locality in order to reduce the I/O costs. A variety of EM paradigms are considered for
solving batched and online problems efficiently in external memory.

Algorithms and Data Structures for External Memory describes several useful paradigms for the design and implementation of efficient EM algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, databases, geographic information systems, and text and string processing.

Algorithms and Data Structures for External Memory is an invaluable reference for anybody interested in, or conducting research in the design, analysis, and implementation of algorithms and data structures.


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Informasi Detail
Judul Seri
-
No. Panggil
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Penerbit
Boston : now Publishers Inc.., 2008
Deskripsi Fisik
xiv, 174 Hlm.
Bahasa
English
ISBN/ISSN
978-1-60198-106-6
Klasifikasi
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Tipe Isi
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Tipe Media
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Tipe Pembawa
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Edisi
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Subjek
MATEMATIKA
Info Detail Spesifik
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Pernyataan Tanggungjawab
agus
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Lampiran Berkas
  • FRONT MATTER
  • CONTENTS
  • 1 Introduction
  • 2 Parallel Disk Model (PDM)
  • 3 Fundamental I/O Operations and Bounds
  • 4 Exploiting Locality and Load Balancing
  • 5 External Sorting and Related Problems
  • 6 Lower Bounds on I/O
  • 7 Matrix and Grid Computations
  • 8 Batched Problems in Computational Geometry
  • 9 Batched Problems on Graphs
  • 10 External Hashing for Online Dictionary Search
  • 11 Multiway Tree Data Structures
  • 12 Spatial Data Structures and Range Search
  • 13 Dynamic and Kinetic Data Structures
  • 14 String Processing
  • 15 Compressed Data Structures
  • 16 Dynamic Memory Allocation
  • 17 External Memory Programming Environments
  • 18. Conclusions
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