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PICO is an Intel Cluster installed in the data center of Cineca. PICO is intended to enable new "BigData" classes of applications, related to the management and processing of large quantities of data, coming both from simulations and experiments. The cluster is made of an Intel NeXtScale server, designed to optimize density and performance, driving a…
The analysis highlights History and Works as prominent areas in the source structure around Pico (supercomputer). 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
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 Pico (supercomputer) shows recurring relationship patterns in the source. For example, Pico (supercomputer) → operational 2015 Another extracted example is Pico (supercomputer) → IBM NeXtScale Linux Infiniband Cluster Compute/login nodes 66, Intel Xeon E5 2670 v2 #2.5Ghz, 20 cores, 128 GB ram Visualization nodes 2, Intel Xeon E5 2670 v2 # 2.5Ghz, 20 core…. 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.
nodes data pico cineca large intel 128 cluster 20-core gb-mem applications gb big 512 hpc ram visualization node di compute
TTTA extracted 9 structured relationships around Pico (supercomputer). Examples in this analysis include Pico (supercomputer) → Active → operational 2015 and Pico (supercomputer) → Architecture → IBM NeXtScale Linux Infiniband Cluster Compute/login nodes 66, Intel Xeon E5 2670 v2 #2.5Ghz, 20 cores, 128 GB ram Visualization nodes 2, Intel Xeon E5 2670 v2 # 2.5Ghz, 20 core…. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pico (supercomputer) | Active | operational 2015 | 1.00 | infobox |
| Pico (supercomputer) | Architecture | IBM NeXtScale Linux Infiniband Cluster Compute/login nodes 66, Intel Xeon E5 2670 v2 #2.5Ghz, 20 cores, 128 GB ram Visualization nodes 2, Intel Xeon E5 2670 v2 # 2.5Ghz, 20 core… | 1.00 | infobox |
| Pico (supercomputer) | Location | Cineca, Casalecchio di Reno, Italy | 1.00 | infobox |
| Pico (supercomputer) | Memory | 128 GB/Compute node 1080 (2 viz nodes with 512 GB) | 1.00 | infobox |
| Pico (supercomputer) | Operators | The Members of the Consortium | 1.00 | infobox |
| Pico (supercomputer) | Purpose | Big data | 1.00 | infobox |
| Pico (supercomputer) | Sponsors | Ministry of Education, Universities and Research (Italy) | 1.00 | infobox |
| Pico (supercomputer) | Storage | high throughput disks (based on GSS technology) for a total amount of about 4 PB, connected with a large capacity tape library for a total actual amount of 12 PByte (expandible… | 1.00 | infobox |
| Pico (supercomputer) | Website | www.hpc.cineca.it/content/pico-user-guide | 1.00 | infobox |
The concept neighborhoods around Pico (supercomputer) bring nearby vocabulary together. In this analysis, examples include Casalecchio, Consortium and Reno. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pico (supercomputer), one of the stronger structural bridges in this analysis connects Pico (supercomputer) 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.
TTTA analyzes the structure around Pico (supercomputer) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Works, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Pico (supercomputer) · EN edition · Analysis: TopicsToTalkAbout