Implementation level

Difference between revisions of "BFS, C++, MPI, Boost Graph Library"

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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: BFS, C++, MPI, Boost Graph Library ==
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= Links =
 
 
 
The <code>[http://www.boost.org/libs/graph_parallel/doc/html/breadth_first_search.html breadth_first_search] function</code>.
 
The <code>[http://www.boost.org/libs/graph_parallel/doc/html/breadth_first_search.html breadth_first_search] function</code>.
  
=== 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 =
 
{{Buttonlinkimp|11}}
 
{{Buttonlinkimp|11}}
  

Latest revision as of 10:44, 2 July 2022


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

1 Links

The breadth_first_search function.

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