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Message Passing Interface: History & Standards
The Message Passing Interface (MPI) is a portable message-passing standard designed to function on parallel computing architectures. The MPI standard defines the syntax and semantics of library routines that are useful to a wide range of users writing portable message-passing programs in C, C++, and Fortran. There are several open-source MPI…
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Message Passing Interface topic overview
The analysis highlights History and Standards as prominent areas in the source structure around Message Passing Interface. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Related topics
133
Source areas
9
Connected nodes
143
Extracted relationships
156
Concept neighborhoods
45
Bridge connections
143
What this topic covers Research coverage
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.
Overview · 39 topics
Language bindings · 26 topics
Official implementations · 17 topics
History · 14 topics
Functionality · 11 topics
Concepts · 10 topics
Future · 10 topics
MPI-2 concepts · 4 topics
Example program · 3 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Message Passing Interface connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Message Passing Interface shows recurring relationship patterns in the source. For example, Message Passing Interface → Addison-Wesley ISBN, Advanced Features, Andrew, Anthony, Aoyama, Bill, Bruck, Building Parallel Programs, Cambridge, Chemistry, Cite, CiteSeerX, Computational Chemistry, Computing, CT Ho, Cypher, Daniweb, David, Designing, Distributed Systems Another extracted example is Message Passing Interface → After, April, Attendees, Austria, David, Distributed Memory Environment, Europe, In November, Jack Dongarra, June, Message Passing, Minneapolis, Most, MPI, MPI Forum, MPI1, November, Out, Standards, Supercomputing. Use these groups to spot repeated connection types before inspecting the individual relationships.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 156 structured relationships around Message Passing Interface. Examples in this analysis include computer clusters often run such programs.The principal MPI-1 model has no shared memory concept → instance of → Actual distributed memory supercomputers and parallel I/O → instance of → which includes new features. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
computer clusters often run such programs.The principal MPI-1 model has no shared memory concept
instance of
Actual distributed memory supercomputers
0.80
text
and MPI-2 has only a limited distributed shared memory concept
instance of
Actual distributed memory supercomputers
0.80
text
parallel I/O
instance of
which includes new features
0.80
text
dynamic process management
instance of
which includes new features
0.80
text
remote memory operations
instance of
which includes new features
0.80
text
and MPI-3.1
instance of
which includes new features
0.80
text
broadcast
instance of
where groups of processes cooperate on operations
0.80
text
reduction
instance of
where groups of processes cooperate on operations
0.80
text
the number of processes in the computing session
instance of
as well as obtaining network-related information
0.80
text
current processor identity that a process is mapped to
instance of
as well as obtaining network-related information
0.80
text
neighboring processes accessible in a logical topology
instance of
as well as obtaining network-related information
0.80
text
and so on
instance of
as well as obtaining network-related information
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Message Passing Interface bring nearby vocabulary together. In this analysis, examples include Passing, Interface and Message. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Message Passing Interface
Passing
Interface
Message
Portable
Parallel
Using
Programming
Standard
Process
Computing
Mpi-2
Example
message passing interface
Passing
Portable
Using
Interface
Message
Message-passing
Programming
Parallel
Mpi
Language
Standard
Mpi-2
parallel computing
Programming
Portable
Using
Passing
Parallel
Message
Standard
Functions
Communication
Programs
Mpi
Interface
implementations
Language
Mpi-2
Mpi
Example
Data
Communication
Process
Standard
Routines
Interface
Mpi-1
Bindings
parallel computers
Programming
Portable
Using
Passing
Standard
Communication
Programs
Routines
Mpi-1
Java
Memory
Language
de facto standard
Mpi-1
Message-passing
Passing
Message
Mpi
Parallel
Fortran
Mpi-2
Interface
Implementations
Routines
Computing
parallel program
Programming
Portable
Using
Passing
Standard
Communication
Programs
Routines
Mpi-1
Java
Memory
Language
open mpi
Parallel
Standard
Using
Implementations
Programming
Portable
Processes
Message-passing
Passing
Program
Data
Language
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Message Passing Interface, one of the stronger structural bridges in this analysis connects Message Passing Interface with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Message Passing Interface
Nodes144
Edges143
Triples156
Avg. degree1.99
Density0.013889
Components1
Source & methodology
TTTA analyzes the structure around Message Passing Interface to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
