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High Performance Fortran (HPF) is an extension of Fortran 90 designed to support parallel computing, developed by the High Performance Fortran Forum (HPFF). The HPFF was convened and chaired by Ken Kennedy of Rice University. The first version of the HPF Report was published in 1993.
The analysis highlights Standards and Overview as prominent areas in the source structure around High Performance Fortran.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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TTTA extracted 2 structured relationships around High Performance Fortran. Examples in this analysis include Fortran D → instance of → influenced by prior efforts. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Fortran D | instance of | influenced by prior efforts | 0.80 | text |
| Vienna FortranDirectives for specifying processor arrangements | instance of | influenced by prior efforts | 0.80 | text |
The concept neighborhoods around High Performance Fortran bring nearby vocabulary together. In this analysis, examples include Computing, Forum and Performance. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the High Performance Fortran map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around High Performance Fortran to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — High Performance Fortran · EN edition · Analysis: TopicsToTalkAbout
