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Coremark: Measurement & Standards

CoreMark is a benchmark that measures the performance of central processing units (CPU) used in embedded systems. It was developed in 2009 by Shay Gal-On at EEMBC and is intended to become an industry standard, replacing the Dhrystone benchmark. The code is written in C and contains implementations of the following algorithms: list processing (find and…

Language: English [EN]
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Coremark topic overview

The analysis highlights Measurement and Standards as prominent areas in the source structure around Coremark.

Related topics
12
Source areas
4
Connected nodes
16
Extracted relationships
14
Related term clusters
15
Bridge connections
16

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 · 8 topics
Issues addressed by CoreMark · 2 topics
CoreMark tests · 1 topics
Results · 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.

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Coremark

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

Issues addressed by CoreMark

CoreMark tests

Results

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Coremark connects Entity context

The extracted context around Coremark shows recurring relationship patterns in the source. For example, Coremark → CRC, Furthermore, Specifically, The CRC Another extracted example is Coremark → CoreMark-PRO, GitHub, Source. Use these groups to spot repeated connection types before inspecting the individual relationships.

Coremark

Top relations

related to Issues addressed by CoreMark · 4
Coremark → CRC, Furthermore, Specifically, The CRC
related to CoreMark tests · 3
Coremark → CoreMark-PRO, GitHub, Source
related to CoreMark versus Dhrystone · 3
Coremark → Dhrystone, Major, Unlike Dhrystone
is a · 1
Coremark → benchmark that measures the performance of central processing units
related to Results · 1
Coremark → Results

Important terminology

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

Important terminology

benchmark dhrystone code results used library run performance processing crc data embedded intended tests also eembc operation calls coremark-pro standard

Coremark relationships Subject–Predicate–Object triples

TTTA extracted 14 structured relationships around Coremark. Examples in this analysis include Coremark → is a → benchmark that measures the performance of central processing units and data → instance of → C Compiler version and flagsP Parameters. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Coremarkis abenchmark that measures the performance of central processing units0.90text
datainstance ofC Compiler version and flagsP Parameters0.80text
code allocation specificsMinstance ofC Compiler version and flagsP Parameters0.80text
Coremarkrelated to CoreMark testsSource0.60section
Coremarkrelated to CoreMark testsCoreMark-PRO0.60section
Coremarkrelated to CoreMark testsGitHub0.60section
Coremarkrelated to CoreMark versus DhrystoneDhrystone0.60section
Coremarkrelated to CoreMark versus DhrystoneUnlike Dhrystone0.60section
Coremarkrelated to CoreMark versus DhrystoneMajor0.60section
Coremarkrelated to Issues addressed by CoreMarkThe CRC0.60section
Coremarkrelated to Issues addressed by CoreMarkSpecifically0.60section
Coremarkrelated to Issues addressed by CoreMarkCRC0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Coremark bring nearby vocabulary together. In this analysis, examples include Run, Dhrystone and Results. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Coremark
    • Run
    • Dhrystone
    • Results
    • Embedded
    • Performance
    • Code
    • Algorithm
    • Consortium
    • Free
    • Issues
    • Number
    • Use
  • coremark
    • Run
    • Dhrystone
    • Results
    • Embedded
    • Performance
    • Code
    • Algorithm
    • Consortium
    • Free
    • Issues
    • Number
    • Use
  • benchmark
    • Coremark
    • Dhrystone
    • Results
    • Performance
    • Used
    • Code
    • Embedded
    • Intended
    • Tests
    • Library
    • Run
    • Algorithm
  • dhrystone
    • Issues
    • Made
    • Run
    • Results
    • Algorithm
    • Available
    • Compiler
    • Correct
    • Eembc
    • Free
    • Number
    • Portion
  • issues addressed by coremark
    • Run
    • Algorithm
    • Correct
    • Dhrystone
    • Results
    • Embedded
    • Performance
    • Also
    • Operation
    • Tests
    • Code
    • Consortium
  • coremark tests
    • Intended
    • Performance
    • Run
    • Dhrystone
    • Results
    • Embedded
    • Algorithm
    • Correct
    • Issues
    • Benchmark
    • Code
    • Also
  • parallel algorithm
    • Embedded
    • Compiler
    • Consortium
    • Correct
    • Eembc
    • Following
    • Issues
    • Number
    • Standard
    • Results
    • Also
    • Crc
  • embedded systems
    • Algorithm
    • Processing
    • Performance
    • Used
    • Compiler
    • Consortium
    • Correct
    • Eembc
    • Following
    • Issues
    • Number
    • Results

Connections between topic areas Semantic bridges

For Coremark, one of the stronger structural bridges in this analysis connects Coremark 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.

Min side: 3
Coremark — Overview · splits 8 ⟂ 9
Coremark — Issues addressed by CoreMark · splits 14 ⟂ 3

Map overview Semantic statistics

Coremark

Nodes17
Edges16
Triples14
Avg. degree1.88
Density0.117647
Components1

Source & methodology

TTTA analyzes the structure around Coremark to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Coremark · EN edition · Analysis: TopicsToTalkAbout

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