Implementation level

Difference between revisions of "BFS, Ligra"

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(Created page with "Primary author of this description: I.V.Afanasyev. == Software implementation of the algorithm: Ligra == === Locality of data and computation...")
 
 
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Primary author of this description: [[:ru:Участник:Elijah|I.V.Afanasyev]].
 
Primary author of this description: [[:ru:Участник:Elijah|I.V.Afanasyev]].
  
== Software implementation of the algorithm: Ligra ==
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= Links =
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http://jshun.github.io/ligra/
  
=== Locality of data and computations ===
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= Locality of data and computations =
==== Locality of implementation ====
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== Locality of implementation ==
===== Structure of memory access and a qualitative estimation of locality =====
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=== Structure of memory access and a qualitative estimation of locality ===
===== Quantitative estimation of locality =====
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=== Quantitative estimation of locality ===
  
=== Scalability of the algorithm and its implementations ===
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= Scalability of the algorithm and its implementations =
==== Scalability of the algorithm ====
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== Scalability of the algorithm ==
==== Scalability of of the algorithm implementation ====  
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== Scalability of of the algorithm implementation ==
  
=== Dynamic characteristics and efficiency of the algorithm implementation ===
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= Dynamic characteristics and efficiency of the algorithm implementation =
=== Run results ===
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= Run results =
 
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{{Buttonlinkimp|39}}
  
 
[[Category:Articles in progress]]
 
[[Category:Articles in progress]]
  
[[Ru:Ligra]]
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[[Ru:BFS, Ligra]]

Latest revision as of 15:52, 4 July 2022


Primary author of this description: I.V.Afanasyev.

1 Links

http://jshun.github.io/ligra/

2 Locality of data and computations

2.1 Locality of implementation

2.1.1 Structure of memory access and a qualitative estimation of locality

2.1.2 Quantitative estimation of locality

3 Scalability of the algorithm and its implementations

3.1 Scalability of the algorithm

3.2 Scalability of of the algorithm implementation

4 Dynamic characteristics and efficiency of the algorithm implementation

5 Run results

Get perf. data