2019Unpublished venueRequires access

The Graphics Processing Unit

Tomas Akenine-Möller, Eric Haines, Naty Hoffman

Open publisher page 2 citations

Abstract

Historically, hardware graphics acceleration has started at the end of the pipeline, first performing rasterization of a triangle’s scanlines. Successive generations of hardware have then worked back up the pipeline, to the point where some higher level application-stage algorithms are being committed to the hardware accelerator. Dedicated hardware’s only advantage over software is speed, but speed is critical.

About this research paper

What this paper is about

Historically, hardware graphics acceleration has started at the end of the pipeline, first performing rasterization of a triangle’s scanlines. Successive generations of hardware have then worked back up the pipeline, to the point where some higher level application-stage algorithms are being committed to the hardware accelerator. Dedicated hardware’s only advantage over software is speed, but speed is critical.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Available abstract

Historically, hardware graphics acceleration has started at the end of the pipeline, first performing rasterization of a triangle’s scanlines. Successive generations of hardware have then worked back up the pipeline, to the point where some higher level application-stage algorithms are being committed to the hardware accelerator. Dedicated hardware’s only advantage over software is speed, but speed is critical.

Key concepts: Graphics, Computer graphics (images), Unit (ring theory), Computer science, Psychology, Mathematics education

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