Transcription of How GPUs Work - NVIDIA
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How GPUs Work - NVIDIA
96 ComputerHOW THINGS WORKIn the early 1990s, ubiquitousinteractive 3D graphics was stillthe stuff of science fiction. By theend of the decade, nearly everynew computer contained a graph-ics processing unit (GPU) dedicated toproviding a high-performance, visu-ally rich, interactive 3D dramatic shift was the in-evitable consequence of consumerdemand for videogames, advances inmanufacturing technology, and theexploitation of the inherent paral-lelism in the feed-forward graphicspipeline. Today, the raw computa-tional power of a GPU dwarfs that ofthe most powerful CPU, and the gap issteadily , gpus have movedaway from the traditional fixed-func-tion 3D graphics pipeline toward a flexible general-purpose compu-tational engine.
NVIDIA’s GeForce FX followed with both 16-bit and 32-bit floating point. Both vendors have announced plans to support 64-bit double-precision floating point in upcoming chips. To keep up with the relentless demand for graphics performance, GPUs have aggressively embraced parallel design. GPUs have long used four-wide vector registers much like
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