Search Results for "gpu-z" - Page 9
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Showing 298 open source projects for "gpu-z"
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NanoEngine
3D Engine technology with partial tools developing kit.
... performance products with using DirectX technology and GPU Geometrics Shaders. The Engine is supported different platform (Windows - Xbox - Web - PSP - Mac) -
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This screensaver shows ripples on the desktop. The main aim of this project is using GPU for calculations.
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This project aims at providing a user package for the molecular dynamics software LAMMPS, which allows the complete simulation to run on a GPU. Additional information and svn access to "bleeding etch" code can be found on the project website below.
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lmesh is a 3D render implemented local illumination such as Gouraud and Phong. Currently it is written by C++ and does not depend on the GPU instructions or any exsiting 3D libraries. It plans to achieve more realistic effects in the future
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Random Password generator for kde Generates a set of random passwords of any length that can include the letter a-z, A-Z any number and symbols and any other character that QString can handle or hex values.
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cppgpgpu is a compile-in library of functions designed to aide users in writing applications that make heavy use of the GPU for computing in an OpenGL environment. This cuts through the boiler plate so you don't have to.
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GPUmat User Modules are extensions for the Matlab Toolbox GPUmat (http://gp-you.org). The purpose is to enable users to add new features to GPUmat and to develop GPU applications on Matlab. Wiki: http://sourceforge.net/apps/mediawiki/gpumatmodules/
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ZLang is a high level scripting language specialized for the DCC domain. it's DCC engine provides geometric primitives, mesh modifiers, key-framed animation and Physics Simulations. ZLang is interpreted and can be extended in C++
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A small, simple open-source rendering engine that uses OpenGL ES 2.0 - OpenGL 3.0> API, providing support for mobile and desktop platforms. Driven by the latest shader pipeline and GPU buffers, it supports fast next generation rendering techniques.
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GPUBench2 is a cross platform suite to analyze the performance of GPU( Graphics Processing Unit). GPUBench2 will gather of state-of-the-art parameters from different interfaces ( OpenGL, Cg, CUDA) available.
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Qaquarelle is the opensource Qt4-based graphical editor, whose goal is to provide the native way of painting with emulated traditional instruments, including the full support of tablet input and OpenGL-based processing in GPU.
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Brook+ is a high level C-like language with extensions for stream programming on different compute devices such as CPUs and GPUs. Supports an ATI CAL and x86 CPU backend. Keywords : GPGPU, GPU Computing, HPC
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The CUDA wrapper library provides means for an efficient resource sharing and resource protection on multi-user GPU clusters.It implements the following functionality: 1) Virtualization of the physical GPU devices 2) Ensuring NUMA affinity for GPUs
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Uma poderosa Engine para games.
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A simple rendering, image processing engine. Includes a framework width (multiplatform) event handling, plugin management, a templated based math library and some exotic features like general linear camera, gpu based (OpenGL) image process...
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VizStack is a framework to run GPU-enabled applications. You may set up tiled displays, and run popular applications on them. VizStack can convert nodes into a shared remote visualization farm. Individual GPUs can be allocated to users too.
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Simonion does not exist anymore; the package name is changed into Simbuca and is updated on the Simbuca webpage: https://sourceforge.net/projects/simbuca/
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An interactive fiction manager and interpreter for Android, aimed to be a comprehensive multi-interpreter similar to Gargoyle, with metadata and story management support. Currently Z-Code stories are supported and metadata is fetched from IFDb.
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StoreGPU is a library that accelerates hashing functions (MD5 and SHA1) by offloading the hashing computation to the GPU. StoreGPU provides two hashing modes: standard hashing mode, and sliding window hashing mode.
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CrystalGPU is an execution framework that transparently enables applications to exploit a number of high-level GPU capabilities such as overlapping communication and computation, short lived buffer reuse, and harnessing multi-GPU systems.
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