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Compiler Construction

Overview of attention for book
Cover of 'Compiler Construction'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Virtual Classes and Their Implementation
  3. Altmetric Badge
    Chapter 2 Alias Analysis by Means of a Model Checker
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    Chapter 3 Points-to and Side-Effect Analyses for Programs Built with Precompiled Libraries
  5. Altmetric Badge
    Chapter 4 A Novel Probabilistic Data Flow Framework
  6. Altmetric Badge
    Chapter 5 Imperative Program Transformation by Rewriting
  7. Altmetric Badge
    Chapter 6 Compiler Transformation of Pointers to Explicit Array Accesses in DSP Applications
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    Chapter 7 User-Extensible Simplification—Type-Based Optimizer Generators
  9. Altmetric Badge
    Chapter 8 A Practical, Robust Method for Generating Variable Range Tables
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    Chapter 9 Efficient Symbolic Analysis for Optimizing Compilers
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    Chapter 10 Interprocedural Shape Analysis for Recursive Programs
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    Chapter 11 Design-Driven Compilation
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    Chapter 12 Software Pipelining of Nested Loops
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    Chapter 13 A First Step Towards Time Optimal Software Pipelining of Loops with Control Flows
  15. Altmetric Badge
    Chapter 14 Comparing Tail Duplication with Compensation Code in Single Path Global Instruction Scheduling
  16. Altmetric Badge
    Chapter 15 Register Saturation in Superscalar and VLIW Codes
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    Chapter 16 Directly-Executable Earley Parsing
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    Chapter 17 A Bounded Graph-Connect Construction for LR-regular Parsers
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    Chapter 18 Array Unification: A Locality Optimization Technique
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    Chapter 19 Optimal Live Range Merge for Address Register Allocation in Embedded Programs
  21. Altmetric Badge
    Chapter 20 Speculative Prefetching of Induction Pointers
  22. Altmetric Badge
    Chapter 21 Constant-Time Root Scanning for Deterministic Garbage Collection
  23. Altmetric Badge
    Chapter 22 Goal-Directed Value Profiling
  24. Altmetric Badge
    Chapter 23 A Framework for Optimizing Java Using Attributes
  25. Altmetric Badge
    Chapter 24 SmartTools: A Generator of Interactive Environments Tools
  26. Altmetric Badge
    Chapter 25 Visual Patterns in the VLEli System
  27. Altmetric Badge
    Chapter 26 The A sf +S df Meta-environment: A Component-Based Language Development Environment
Attention for Chapter 6: Compiler Transformation of Pointers to Explicit Array Accesses in DSP Applications
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Chapter title
Compiler Transformation of Pointers to Explicit Array Accesses in DSP Applications
Chapter number 6
Book title
Compiler Construction
Published in
Lecture notes in computer science, March 2001
DOI 10.1007/3-540-45306-7_6
Book ISBNs
978-3-54-041861-0, 978-3-54-045306-2
Authors

Franke, Björn, O’Boyle, Michael, Björn Franke, Michael O’Boyle

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 63%
Professor 1 13%
Researcher 1 13%
Student > Master 1 13%
Readers by discipline Count As %
Computer Science 8 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2012.
All research outputs
#7,476,657
of 22,856,968 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,127 outputs
Outputs of similar age
#13,188
of 40,774 outputs
Outputs of similar age from Lecture notes in computer science
#5
of 15 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% of its peers.
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We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.