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Pixelsat Scale: High-Performance Computer Graphics and Vision - David Luebke and John Owens
Pages 3-6

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From page 3...
... Modern consumer hardware has made ubiquitous • powerful computer graphics hardware, continuously increasing the per formance and quality of graphics; • high-resolution displays, approaching the native resolution of the eye; and • high-resolution low-cost digital cameras, generating trillions of digital photos for analysis and training. These advances provide traction on two long-standing challenges that center on the pixel: interactive, immersive, photorealistic computer graphics and ubiquitous, robust image analysis and understanding.
From page 4...
... Thus today's GPUs not only render video games but also accelerate computation for astrophysics, video transcoding, image processing, protein folding, seismic exploration, computational finance, heart surgery, self-driving cars -- the list goes on and on. Importantly, machine learning algorithms (particularly convolutional neural nets or "deep learning")
From page 5...
... The session concluded with Kayvon Fatahalian, an assistant professor of computer science at Carnegie Mellon University whose research couples a systems mindset with deep expertise in pixel-processing hardware and software. He discussed the challenges and opportunities of processing live pixel streams on vast scales, with applications ranging from personal to urban to societal.


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