<--- Back to Details
First PageDocument Content
Imaging / Video cards / Graphics processing units / PowerVR / Tiled rendering / Image processing / Rasterisation / Rendering / Z-buffering / 3D computer graphics / Computer graphics / Computer hardware
Date: 2009-05-13 10:32:07
Imaging
Video cards
Graphics processing units
PowerVR
Tiled rendering
Image processing
Rasterisation
Rendering
Z-buffering
3D computer graphics
Computer graphics
Computer hardware

Imagination Technologies Copyright POWERVR MBX

Add to Reading List

Source URL: www.imgtec.com

Download Document from Source Website

File Size: 521,29 KB

Share Document on Facebook

Similar Documents

CORRECT AND EFFICIENT ACCELERATOR PROGRAMMING CARP Mission Statement Massively parallel accelerator processors, primarily graphics processing units (GPUs), have become widely available to end-users. Accelerators

DocID: 1tTHO - View Document

Proc. of the 17th Int. Conference on Digital Audio Effects (DAFx-14), Erlangen, Germany, September 1-5, 2014 STREAMING SPECTRAL PROCESSING WITH CONSUMER-LEVEL GRAPHICS PROCESSING UNITS Victor Lazzarini, John ffitch, Joe

DocID: 1sVgY - View Document

Parallel Processing Architectures of Graphics Processing Units (GPUs): Applications in Geocomputational Geodemographics 1 Adnan, M., 1Longley, P.A., 2Singleton, A.D., 3Turton, I.

DocID: 1sBKW - View Document

Mathematical analysis / Computer architecture / Computing / Graphics hardware / Discrete geometry / Diagrams / Computational geometry / Voronoi diagram / Multivariate interpolation / General-purpose computing on graphics processing units / Natural neighbor / Pi

TerraNNI: Natural Neighbor Interpolation on 2D and 3D Grids Using a GPU PANKAJ K. AGARWAL, Duke University ALEX BEUTEL, Carnegie Mellon University THOMAS MØLHAVE, SCALGO USA

DocID: 1ru58 - View Document

Computing / Concurrent computing / Parallel computing / Computer programming / GPGPU / Application programming interfaces / Graphics hardware / Video cards / OpenCL / General-purpose computing on graphics processing units / Compute kernel / Stream processing

A Portable High-Productivity Approach to Program Heterogeneous Systems

DocID: 1rqSu - View Document