Graphics processing unit
Specialized electronic circuit; graphics accelerator
Concept
A graphics processing unit (GPU) is a specialized electronic circuit designed for digital image processing and to accelerate computer graphics, being present either as a component on a discrete graphics card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles. GPUs are also increasingly being used for artificial intelligence (AI) processing and model training due to linear algebra acceleration, which is also used extensively in graphics processing. Although there is no single definition of the term, and it may be used to describe any video display system, in modern use a GPU includes the ability to internally perform the calculations needed for various graphics tasks, like rotating and scaling 3D images, and often the additional ability to run custom programs known as shaders. This contrasts with earlier graphics controllers known as video display controllers which had no internal calculation capabilities, or blitters, which performed only basic memory movement operations. The modern GPU emerged during the 1990s, adding the ability to perform operations like drawing lines and text without CPU help, and later adding 3D functionality. Graphics functions are generally independent and this lends these tasks to being implemented on separate calculation engines. Modern GPUs include hundreds, or thousands, of calculation units. This made them useful for non-graphic calculations involving embarrassingly parallel problems due to their parallel structure. The ability of GPUs to rapidly perform vast numbers of calculations has led to their adoption in diverse fields including artificial intelligence (AI) where they excel at handling data-intensive and computationally demanding tasks. Other non-graphical uses include the training of neural networks and cryptocurrency mining.
CardsKnowledge
Graphics processing unit
Specialized electronic circuit; graphics accelerator
A graphics processing unit (GPU) is a specialized electronic circuit designed for digital image processing and to accelerate computer graphics, being present either as a component on a discrete graphics card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles. GPUs are also increasingly being used for artificial intelligence (AI) processing and model training due to linear algebra acceleration, which is also used extensively in graphics processing. Although there is no single definition of the term, and it may be used to describe any video display system, in modern use a GPU includes the ability to internally perform the calculations needed for various graphics tasks, like rotating and scaling 3D images, and often the additional ability to run custom programs known as shaders. This contrasts with earlier graphics controllers known as video display controllers which had no internal calculation capabilities, or blitters, which performed only basic memory movement operations. The modern GPU emerged during the 1990s, adding the ability to perform operations like drawing lines and text without CPU help, and later adding 3D functionality. Graphics functions are generally independent and this lends these tasks to being implemented on separate calculation engines. Modern GPUs include hundreds, or thousands, of calculation units. This made them useful for non-graphic calculations involving embarrassingly parallel problems due to their parallel structure. The ability of GPUs to rapidly perform vast numbers of calculations has led to their adoption in diverse fields including artificial intelligence (AI) where they excel at handling data-intensive and computationally demanding tasks. Other non-graphical uses include the training of neural networks and cryptocurrency mining.
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Concept — Alters a rule of the game for as long as it stays in play.
Reach
Article length
95 / 120
Rigour
Reference density and count
51 / 120
Anchorage
Age and revision count
346 / 400
Currency
Recent edit activity and view trend
15 / 30
Diffusion
Language editions and incoming links
77 / 100
Article size
72 kB
Sources cited
103
Sections
21
Revisions
2,470
Revisions in 90 days
17
Incoming links
3,241
Language editions
66
Views over 12 months
298,364
Created on
December 6, 2003
Wikidata statements
43
Epic — 99.1th percentile of notability
Rarity ranks cards by how famous their subject is: readership, number of languages and incoming links. This tier appears in 4.50% of cards pulled from packs. It says nothing about the card’s power, which is 672 out of 1000 here.
Effect
This card does not fight on its own: it carries a single effect, chosen by its dominant measure.
Knowledge — type matchups
Strong against
Weak against
The source article
This card maps to the Wikidata item Q183484, present in 66 Wikipedia editions.
Illustration : file on Wikimedia Commons — ScotXW — licence CC0. Article text licensed under CC BY-SA 4.0.
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