Showing 15 open source projects for "nvidia cuda"

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  • 1
    GSvit

    GSvit

    Fast FDTD solver with graphics card support

    Fast FDTD solver with graphics card support. Optimized for nanoscale optics - scanning near field optical microscopy, rough surface scattering and solar cells. Uses CUDA environment for graphics card operation.
    Downloads: 10 This Week
    Last Update:
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  • 2

    CUDALucas

    A program that uses CUDA to accelerate the Lucas Lehmer test.

    CUDALucas is a program implementing the Lucas-Lehmer primality test for Mersenne numbers using the Fast Fourier Transform implemented by nVidia's cuFFT library. You need a CUDA-capable nVidia card with compute compatibility >= 1.3 up to CUDA 6.5, 2.x up to 7.0 and 3.x for >=CUDA 8.0 . The program is run from the command line, however it can be configured without using a terminal. See the Wiki for more details. README for new users available at the Files/Downloads page.
    Downloads: 5 This Week
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  • 3

    CUDASW++: Smith-Waterman Algorithm

    The fastest Smith-Waterman protein database search algorithm on GPUs

    CUDASW++ software is a public open source software for Smith-Waterman protein database searches on Graphics Processing Units with CUDA. This software have been added to the NVIDIA Tesla Bio Workbench (http://www.nvidia.com/object/swplusplus_on_tesla.html
    Downloads: 1 This Week
    Last Update:
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  • 4

    viewpix

    A Landsat 8 scene viewer

    ...Each Landsat 8 scene is roughly 190 X 180 kilometers. Viewpix was originally written as a simple platform to test GPU software on low end computer systems. This is the "lite" version of Viewpix as it has no cuda filters installed. Viewpix is written in C. It is tested on Ubuntu and Centos. It should work with most current Linux distributions. Viewpix runs efficiently on computers with modest CPU's such as low power mini-ITX boards. It is known to work nicely on Intel NUC, AMD A6 SOC , and NVIDIA TX2. A multiple core cpu, 8 GB ram, and a large capacity hard drive are suggested.
    Downloads: 0 This Week
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  • 5
    BarraCUDA Fast Short Read Aligner
    Barracuda is a high-speed sequence aligner based on Sanger's BWA and utilizes the latest Nvidia CUDA architecture for accelerating alignments of sequence reads generated by next-generation sequencers.
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    Downloads: 12 This Week
    Last Update:
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  • 6
    ofxKuZed-zedExample

    ofxKuZed-zedExample

    Compiled example for ofxKuZed addon

    ...This example shows depth map, masked color image and point cloud from StereoLabs ZED. Requirements: - Windows - ZED SDK 1.0 or later (https://cloud.mail.ru/public/8Luw/yPxdYh91A) - CUDA 7.5 (and NVidia card) https://cloud.mail.ru/public/79z4/164HTQkeq - Visual Studio 2015 Community C++ (or its redistributables https://cloud.mail.ru/public/AgYD/r9JLgBc9y) See details on installation and example usage at GitHub: https://github.com/kuflex/ofxKuZed
    Downloads: 0 This Week
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  • 7

    Accelerated Feature Extraction Tool

    A fast GPU accelerated feature extraction software for speech analysis

    ...It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present. The output files are stored in HTK format. The software is developed at Department of Cybernetics at University of West Bohemia in Pilsen.
    Downloads: 0 This Week
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  • 8
    MXLib is a C++ wrapper around the Intel® Integrated Performance Primitives (IPP) library and NVidia NPP CUDA library. You can use either IPP code (or a subset of functions that do not require IPP) on the CPU side, or use NPP/CUDA on the GPU side, or use both together. The function syntax is similar to that found in MatLab and the library is designed to make it easy to port your code from MatLab to C++. The idea is to provide Scientists, Engineers, Researchers and other non full-time programmers an easy to use, high performance library of functions.
    Downloads: 0 This Week
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  • 9
    GeNN
    ...***** You will find all future GeNN updates on GitHub at: https://github.com/genn-team/genn THIS PAGE WILL NO LONGER BE MAINTAINED! ==================================== GeNN is a GPU enhanced Neuronal Network simulation environment based on code generation for NVidia CUDA.
    Downloads: 0 This Week
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  • 10
    GPU Edge Detector

    GPU Edge Detector

    GPU Interactive Program For Edge detection

    ...(The code section is currently close until our article gets published) Commiting publicly to the project is currently closed but feel free to email us. The source code is dependant on CUDA 5.0 Samples now available as part of the CUDA Toolkit. "This software contains source code provided by NVIDIA Corporation."
    Downloads: 0 This Week
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  • 11

    GPUmat

    GPUmat is a C/C++ GPU engine for Matlab based on NVIDIA CUDA.

    Please download Windows and Linux version by clicking on "Browse All Files". GPUmat allows standard MATLAB code to run on GPUs. The engine is written in C/C++ and based on NVIDIA CUDA. Please contact gpyougroup@gmail.com for any questions. Unfortunately GPUmat was compiled for CUDA 5.0 and we basically stopped any support for other CUDA version because we don't have the resources to do it. But you can compile the source code if you want. Instructions to compile the source code: You need to download a SVN client and then from command line: svn export http://svn.code.sf.net/p/gpumat/code/trunk ....
    Downloads: 1 This Week
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  • 12

    CUDA-SPHERE-FWD-MEEG

    CUDA accelerated spherical model forward solution for EEG/MEG

    CUDA-SPHERE-FWD-MEEG is a CUDA C based toolkit which provides a GPU based implementation of the spherical model forward solution for the 306 channel Elekta Neuromag MEG system and the EEG. The 1-Sphere forward solution for the MEG and the 4-Sphere forward solution for the EEG is implemented in CUDA C and an accelerated solution is obtained using the NVIDIA GPU when the solution is calculated for a large number of dipoles (on the order of 15000 and above) and sensor locations. ...
    Downloads: 0 This Week
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  • 13
    This project shows how to integrate NVIDIA CUDA GPU programming API into ITK (Insight Segmentation and Registration Toolkit) library
    Downloads: 0 This Week
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  • 14
    A fast parallel error correction tool for short reads. This software have been added to the NVIDIA Tesla Bio Workbench (http://www.nvidia.com/object/ec_on_tesla.html)
    Downloads: 0 This Week
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  • 15
    Using the CUDA API this project modifies the AutoDock software to run in parallel on NVIDIA GPUs. Users will be able to download and compile the code and use AutoDock on CUDA capable Graphics Cards. Autodock is located at http://autodock.scripps.edu/
    Downloads: 0 This Week
    Last Update:
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