Topic orientation
Floating point operations per second at a glance
The strongest research directions include Performance records and Floating-point arithmetic. Use the connected concepts below as starting points, not as a keyword checklist.
Research this topic
Explore the main themes, entities and connections around Floating point operations per second. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Explore this topic
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
Performance records
Floating-point arithmetic
Overview
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
- Computer performance
- Compute Compute (machine learning)
- Computing
- Floating-point
- Instructions per second
Floating-point arithmetic
- Floating-point arithmetic
- Real numbers Real number
- Base two Binary number
- Base ten Decimal
- Exponent
- VAX
- IEEE floating point
- IBM Floating Point Architecture IBM hexadecimal floating-point
- Significand
- Radix point
- ANSI/IEEE Std. 754-1985 IEEE 754-1985
- MIPS Million instructions per second
- Machine learning
- Scientific computation
- David Kuck
- TOP500
- Double-precision floating-point format
- 32-bit Single-precision floating-point format
- 16-bit Half-precision floating-point format
Performance records
- NEC SX-2
- Supercomputer
- NEC
- Billion
- Intel Corporation Intel
- ASCI Red
- SX-9 NEC SX-9
- Vector processor
- RIKEN
- MDGRAPE-3
- Pipelines Pipeline (computing)
- Multi-core
- POLARIS Teraflops Research Chip
- IBM Blue Gene/L Blue Gene
- Cray XT4
- IBM
- SX-9
- NSF National Science Foundation
- University of Texas at Austin
- AMD
- Sun Sun Microsystems
- Roadrunner IBM Roadrunner
- Grid computers Grid computing
- Greater roadrunner
- Radeon R770 Radeon HD 4000 series
- Jaguar supercomputer Jaguar (supercomputer)
- Open research
- Kraken
- Cray
- Tianhe-1
Advanced semantic analysis
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
Important terminology Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Important terminology
supercomputer petaflops top500 computer performance june computing floating-point per teraflops list world's second operations first one fastest powerful flops national
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| scientific computational research | instance of | Floating-point operations are typically used in fields | 0.80 | text |
| as well as in machine learning | instance of | Floating-point operations are typically used in fields | 0.80 | text |
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.