Search Results for "gpu" - Page 5
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Showing 111 open source projects for "gpu"
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The GWO library is numerical calculation library for the diffraction integrals using a GPU (Graphics Processing Unit). If optics engineers and researchers have no knowledge of GPU, the GWO library provides them with the GPU calculation power easily.
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This project shows how to integrate NVIDIA CUDA GPU programming API into ITK (Insight Segmentation and Registration Toolkit) library
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This project implements several famous fractals, on GPU-Shaders. This enables the fractals to be calculated in real-time.
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A GPU GLSL implementation of a Uniform-Grid accelerated Ray Tracer. Basic test boxes and Stanford bunny are currently renderable. Tested on ATI X1600 mobile, FireGL V3400, and 8800gt.
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Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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OpenSARSim is builded for the simulation of synthetic aperture radar image. This software use the principle of electromagnetic field scattering to get the SAR image. Most of the computation work is based on GPU.
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Astrog is a library for performing astronomical calculations, accelerated by using a graphics processing unit (GPU).
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FFFF is the fastest Win32/OSX/Linux/IRIX Mandelbrot generator. Features OpenGL, realtime zoom, SSE/AltiVec QuadPixel, SSE2/3DNow! DualPixel calc, FPU per pixel calc, GPU asm (Fragment/Vertex) calc, multiprocessor support, and benchmarking. Opt asm code!
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Jorik is about using graphics processing units in general purpose (GPGPU) computations: parallel sorting, dynamic PDE and image processing. Jorik is written on C++/DirectX/HSLS, supports both ATI and nVidia cards. It suits for not-gaming GPU benchmarking.
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Particular filter CUDA
Improvements of positioning algorithms using CUDA
Our project consist in porting positioning algorithms on a GPU. We will improve programs which are already working on CPU in order to make them compatible with the CUDA technology offered by Nvidia. The advantage of this technology is that it allows us to use massive multithreading and so make calculations go faster. Algorithms will be implemented in C++. -
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Orseis is a general-purpose GPU simulation engine designed to manage graphical resources and to hide the underlying graphics API.
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