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Platform Computing was a privately held software company primarily known for its job scheduling product, Load Sharing Facility (LSF). It was founded in 1992 in Toronto, Ontario, Canada and headquartered in Markham, Ontario with 11 branch offices across the United States, Europe and Asia.
The analysis highlights Standards, History, Members and Regions as prominent areas in the source structure around Platform Computing.
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.
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.
The extracted context around Platform Computing shows recurring relationship patterns in the source. For example, Platform Computing → Bing Wu, Canadian Advanced Network, CANARIE, Education, Industry, Its, Jingwen Wang, LSF, Platform's, Research, Revenue, Songnian Zhou, The LSF, Toronto, University, US, Utopia, YoY Another extracted example is Platform Computing → Computing, Platform, Platform Computing HPC Management, SoftwareUser, The Official Website. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
platform computing software acquired lsf ibm toronto founded 1992 cluster mpi revenue million website ontario canada markham project scali lava
TTTA extracted 35 structured relationships around Platform Computing. Examples in this analysis include Platform Computing → Fate → Acquired by IBM and Platform Computing → Founded → Toronto, Ontario, Canada (1992). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Platform Computing | Fate | Acquired by IBM | 1.00 | infobox |
| Platform Computing | Founded | Toronto, Ontario, Canada (1992) | 1.00 | infobox |
| Platform Computing | Headquarters | Markham, Ontario, Canada | 1.00 | infobox |
| Platform Computing | Industry | Cloud computing, High performance computing, Distributed computing, Grid computing, Computer software | 1.00 | infobox |
| Platform Computing | Key people | Leadership team | 1.00 | infobox |
| Platform Computing | Number of employees | 530 | 1.00 | infobox |
| Platform Computing | Products | Platform ISF, Platform LSF, Platform Symphony, Platform Cluster Manager, Platform Manager, Platform MPI | 1.00 | infobox |
| Platform Computing | Revenue | $71.6 million USD (2010) | 1.00 | infobox |
| Platform Computing | Type | Private | 1.00 | infobox |
| Platform Computing | Website | www.platform.com | 1.00 | infobox |
| Platform Computing | related to External links | Platform | 0.60 | section |
| Platform Computing | related to External links | The Official Website | 0.60 | section |
The concept neighborhoods around Platform Computing bring nearby vocabulary together. In this analysis, examples include Platform, Acquired and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Platform Computing, one of the stronger structural bridges in this analysis connects Platform Computing with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Platform Computing to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards, History, Members & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Platform Computing · EN edition · Analysis: TopicsToTalkAbout