Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Find first set: Applications, Software emulation & Properties and relations

In computer software and hardware, find first set (ffs) or find first one is a bit operation that returns the index or position of the least significant 'one' bit in its argument, counting from the least significant bit. A related operation is count trailing zeros (ctz) or number of trailing zeros (ntz), which counts the number of zero bits following the…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Find first set topic overview

The analysis highlights Applications, Software emulation and Properties and relations as prominent areas in the source structure around Find first set.

Related topics
40
Source areas
5
Connected nodes
45
Extracted relationships
21
Concept neighborhoods
16
Bridge connections
45

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.

Software emulation · 14 topics
Applications · 12 topics
Overview · 8 topics
Properties and relations · 5 topics
Hardware support · 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.

Explore all related topics Closing gaps

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.

Overview

Hardware support

Properties and relations

Software emulation

Applications

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 Find first set connects Entity context

The extracted context around Find first set shows recurring relationship patterns in the source. For example, Find first set → Alpha, CTLZ, CTTZ, Many, On, Properties, The Another extracted example is Find first set → As, Given, If, The. Use these groups to spot repeated connection types before inspecting the individual relationships.

Find first set

Top relations

related to Hardware support · 7
Find first set → Alpha, CTLZ, CTTZ, Many, On, Properties, The
related to Properties and relations · 4
Find first set → As, Given, If, The
related to Examples · 2
Find first set → Given, The

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

bit count zeros zero ctz clz set leading first operation bits ffs find trailing number one algorithm operations time significant

Find first set relationships Subject–Predicate–Object triples

TTTA extracted 21 structured relationships around Find first set. Examples in this analysis include M68000 → instance of → The reverse is also true.On platforms with an efficient log2 operation and ARM → instance of → so that the most- and least-significant 1 bit are the same.On platforms with an efficient count leading zeros operation. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
M68000instance ofThe reverse is also true.On platforms with an efficient log2 operation0.80text
ctz can be computed byinstance ofThe reverse is also true.On platforms with an efficient log2 operation0.80text
ARMinstance ofso that the most- and least-significant 1 bit are the same.On platforms with an efficient count leading zeros operation0.80text
PowerPCinstance ofso that the most- and least-significant 1 bit are the same.On platforms with an efficient count leading zeros operation0.80text
ffs can be computed byinstance ofso that the most- and least-significant 1 bit are the same.On platforms with an efficient count leading zeros operation0.80text
the binary GCD algorithminstance ofThis technique is quite practical in applications0.80text
where the x values are uniformly distributedinstance ofThis technique is quite practical in applications0.80text
so the iterative loop is not needed .mw-parser-output .fracinstance ofThis technique is quite practical in applications0.80text
Find first setrelated to ExamplesGiven0.60section
Find first setrelated to ExamplesThe0.60section
Find first setrelated to Hardware supportMany0.60section
Find first setrelated to Hardware supportThe0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Find first set bring nearby vocabulary together. In this analysis, examples include First, Set and Operations. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Find first set
    • First
    • Set
    • Operations
    • Ffs
    • Trailing
    • Zero
    • Related
    • Operation
    • Count
    • Return
    • Word
    • Zeros
  • find first set
    • First
    • Set
    • Operations
    • Ffs
    • Trailing
    • Bits
    • Zero
    • Related
    • Operation
    • Count
    • Return
    • Word
  • bit operation
    • Count
    • Zeros
    • Leading
    • Significant
    • One
    • Return
    • Ctz
    • Position
    • Efficiently
    • Log2
    • Set
    • Trailing
  • instruction set architectures
    • Ffs
    • Operations
    • Zero
    • Related
    • Bits
    • Operation
    • Trailing
    • Return
    • Word
    • One
    • Zeros
    • Count
  • bit arrays
    • Significant
    • One
    • Ffs
    • Clz
    • Ctz
    • Zeros
    • Operations
    • Count
    • Bits
    • Operation
    • First
    • Related
  • binary gcd algorithm
    • Table
    • Branches
    • Time
    • Lookup
    • Using
    • Algorithm
    • Binary
    • Significant
    • Number
    • Zeros
    • 32-bit
    • Count
  • population count
    • Zeros
    • Leading
    • Trailing
    • Zero
    • Operation
    • Clz
    • Ctz
    • Number
    • 32-bit
    • Bits
    • Ffs
    • Find
  • gosper's loop-detection algorithm
    • Branches
    • Time
    • Using
    • Binary
    • Number
    • Zeros
    • Count
    • Ctz
    • Hardware
    • Table
    • Bit
    • Operations

Connections between topic areas Semantic bridges

For Find first set, one of the stronger structural bridges in this analysis connects Find first set with Software emulation. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Find first set — Software emulation · splits 31 ⟂ 15
Find first set — Applications · splits 33 ⟂ 13
Find first set — Overview · splits 37 ⟂ 9
Find first set — Properties and relations · splits 40 ⟂ 6

Map overview Semantic statistics

Find first set

Nodes46
Edges45
Triples21
Avg. degree1.96
Density0.043478
Components1

Source & methodology

TTTA analyzes the structure around Find first set to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Software emulation & Properties and relations, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Find first set · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.