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Texture compression is a specialized form of image compression designed for storing texture maps in 3D computer graphics rendering systems. Unlike conventional image compression algorithms, texture compression algorithms are optimized for random access. Texture compression can be applied to reduce memory usage at runtime.
Adaptive scalable texture compression (ASTC) is a lossy block-based texture compression algorithm developed by Jørn Nystad et al. of ARM Ltd. and AMD. [1]Full details of ASTC were first presented publicly at the High Performance Graphics 2012 conference, in a paper by Olson et al. entitled "Adaptive Scalable Texture Compression".
Assembled Project VGA graphics board Open Graphics Project prototype. Project VGA aims to create a low-budget, open-source VGA-compatible video card. [104] The Open Graphics Project aims to create an open-hardware GPU. The Open Graphics Device v1 has dual DVI-I outputs and a 100-pin IDC connector.
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
A fractal landscape being rendered using the painter's algorithm on an Amiga. The painter's algorithm (also depth-sort algorithm and priority fill) is an algorithm for visible surface determination in 3D computer graphics that works on a polygon-by-polygon basis rather than a pixel-by-pixel, row by row, or area by area basis of other Hidden-Surface Removal algorithms.
Open Compute Project, an organization for sharing designs of data center products among companies; Open Graphics Project, a project that aims to design a standard open architecture for graphics cards; OpenCores, a loose community of designers that supports open-source cores (logic designs) for CPUs, peripherals and other devices.
The opposite of embarrassingly parallel problems are inherently serial problems, which cannot be parallelized at all. A common example of an embarrassingly parallel problem is 3D video rendering handled by a graphics processing unit, where each frame (forward method) or pixel (ray tracing method) can be handled with no interdependency. [3]
The first published complete example works on the following basic principle. [1] Starting with a seed point, fill left and right. Keep track of the leftmost filled point lx and rightmost filled point rx. This defines the span. Scan from lx to rx above and below the seed point, searching for new seed points to continue with.