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Functional Programming Languages and Computer Architecture

Overview of attention for book
Cover of 'Functional Programming Languages and Computer Architecture'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 26 Miranda: A non-strict functional language with polymorphic types
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    Chapter 27 Data flow graph optimization in if1
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    Chapter 28 Strictness analysis — a practical approach
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    Chapter 29 The categorical abstract machine
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    Chapter 30 High order programming in extended FP
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    Chapter 31 Secd-m: a virtual machine for applicative programming
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    Chapter 32 Cobweb — A combinator reduction architecture
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    Chapter 33 How to replace failure by a list of successes a method for exception handling, backtracking, and pattern matching in lazy functional languages
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    Chapter 34 Lazy memo-functions
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    Chapter 35 An architecture for fast data movement in the FFP machine
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    Chapter 36 An architecture that efficiently updates associative aggregates in applicative programming languages
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    Chapter 37 Lambda lifting: Transforming programs to recursive equations
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    Chapter 38 Optimizing almost-tail-recursive prolog programs
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    Chapter 39 Designing regular array architectures using higher order functions
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    Chapter 40 $$v\mathcal{F}\mathcal{P}$$ : An environment for the multi-level specification, analysis, and synthesis of hardware algorithms
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    Chapter 41 A distributed garbage collection algorithm
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    Chapter 42 Cyclic reference counting for combinator machines
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    Chapter 43 Design for a multiprocessing heap with on-board reference counting
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    Chapter 44 A functional language and modular architecture for scientific computing
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    Chapter 45 Practical polymorphism
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    Chapter 46 Program verification in a logical theory of constructions
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    Chapter 47 Transforming recursive programs for execution on parallel machines
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    Chapter 48 Compiling pattern matching
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    Chapter 49 Serial combinators: "optimal" grains of parallelism
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    Chapter 50 The G-machine: A fast, graph-reduction evaluator
Attention for Chapter 48: Compiling pattern matching
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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4 X users

Citations

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23 Dimensions

Readers on

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28 Mendeley
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Chapter title
Compiling pattern matching
Chapter number 48
Book title
Functional Programming Languages and Computer Architecture
Published in
Lecture notes in computer science, June 2005
DOI 10.1007/3-540-15975-4_48
Book ISBNs
978-3-54-015975-9, 978-3-54-039677-2
Authors

Lennart Augustsson

Editors

Jean-Pierre Jouannaud

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 7%
Denmark 2 7%
United States 1 4%
Unknown 23 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Student > Master 7 25%
Researcher 5 18%
Student > Bachelor 3 11%
Professor 1 4%
Other 2 7%
Readers by discipline Count As %
Computer Science 25 89%
Engineering 2 7%
Mathematics 1 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 April 2020.
All research outputs
#8,043,356
of 25,058,660 outputs
Outputs from Lecture notes in computer science
#2,428
of 8,153 outputs
Outputs of similar age
#23,222
of 67,463 outputs
Outputs of similar age from Lecture notes in computer science
#14
of 62 outputs
Altmetric has tracked 25,058,660 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 67,463 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.