SHMEM (from Cray Research's “shared memory” library) is a family of parallel programming libraries, providing one-sided, RDMA, parallel-processing interfaces for low-latency distributed-memory supercomputers. The SHMEM acronym was subsequently reverse engineered to mean "Symmetric Hierarchical MEMory”. Later it was expanded to distributed memory parallel…
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SHMEM topic overview
The analysis highlights OpenSHMEM implementations, Disadvantages and Overview as prominent areas in the source structure around SHMEM.
Related topics
9
Source areas
3
Connected nodes
12
Extracted relationships
50
Related term clusters
8
Bridge connections
12
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 · 5 topics
OpenSHMEM implementations · 3 topics
Disadvantages · 1 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.
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SHMEM
9Remote direct memory access · Distributed memory · Partitioned global address space
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.
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Advanced semantic analysis
How SHMEM 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 SHMEM shows recurring relationship patterns in the source. For example, SHMEM → Altix, Cray Inc, Cray Research, Cray Research PVP, Cray T3D, Cray T3E, Cray XT3, GPUs, Inc, InfiniBand, LC-SHMEM, Linux, MP-SHMEM, NUMAlink, OpenSHMEM API, Original SHMEM, Q-SHMEM, QsNet, Quadrics, SGI-SHMEM Another extracted example is SHMEM → APIsOpenSHMEM, Florida, Gator SHMEMOpen MPI, Houston, Inc, MPI, Open Source Software Solutions, OpenSHMEM, OpenSHMEMAdapteva Epiphany CoprocessorSandia OpenSHMEM, OSHMPI, Portals, Python, Reference OpenSHMEMMellanox ScalableSHMEMPortals-SHMEM, SGI, SOS, University. 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 50 structured relationships around SHMEM. Examples in this analysis include SHMEM → related to Disadvantages → Cray Research and SHMEM → related to Disadvantages → SGI. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
SHMEM
related to Disadvantages
Cray Research
0.60
section
SHMEM
related to Disadvantages
SGI
0.60
section
SHMEM
related to Disadvantages
MPI
0.60
section
SHMEM
related to Disadvantages
Libraries
0.60
section
SHMEM
related to Disadvantages
PEs
0.60
section
SHMEM
related to Disadvantages
PE
0.60
section
SHMEM
related to List of SHMEM implementations
Cray Research
0.60
section
SHMEM
related to List of SHMEM implementations
Original SHMEM
0.60
section
SHMEM
related to List of SHMEM implementations
Cray T3D
0.60
section
SHMEM
related to List of SHMEM implementations
Cray T3E
0.60
section
SHMEM
related to List of SHMEM implementations
Cray Research PVP
0.60
section
SHMEM
related to List of SHMEM implementations
SGI-SHMEM
0.60
section
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters 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 SHMEM bring nearby vocabulary together. In this analysis, examples include Research, Openshmem and Operations. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
SHMEM
Research
Openshmem
Operations
Address
Remote
Sgi
Pes
Interface
Mpi
Several
Sub-microsecond
Used
shmem
Research
Openshmem
Operations
Address
Remote
Sgi
Pes
Interface
Mpi
Several
Sub-microsecond
Used
distributed memory
Shared
One-sided
Parallel
Programming
Using
Shmem
Remote
Operations
Interfaces
Interface
Symmetric
Address
partitioned global address space
Research
Interface
Parallel
Programming
T3e
Used
Cray
Sgi
Openshmem
Shmem
Computer
Interfaces
portals interface
Parallel
Programming
Address
Research
One-sided
Openshmem
Interfaces
Mpi
T3e
Used
Memory
Communication
openshmem implementations
Sgi
Research
T3e
Communication
Shmem
Mpi
Parallel
Programming
Sub-microsecond
Use
Functions
Pe
open mpi
Shmem
Research
Sgi
One-sided
Openshmem
mpi
Shmem
Research
Sgi
One-sided
Openshmem
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 SHMEM, one of the stronger structural bridges in this analysis connects SHMEM 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.
SHMEM
Nodes13
Edges12
Triples50
Avg. degree1.85
Density0.153846
Components1
Source & methodology
TTTA analyzes the structure around SHMEM to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as OpenSHMEM implementations, Disadvantages & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — SHMEM · EN edition · Analysis: TopicsToTalkAbout
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