Search Results for "cuda" - Page 8
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Showing 309 open source projects for "cuda"
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Sol-R
Open-source CUDA/OpenCL speed of light ray-tracer
Sol-R is a CUDA/OpenCL-based real-time ray-tracer compatible with Oculus Rift DK1, Kinect, Razor Hydra and Leap Motion devices. Sol-R was written as a hobby project in order to understand and learn more about CUDA and OpenCL. Most of the code was written at night and during weekends, meaning that it's probably not the best quality ever. The idea was to produce a Ray-Tracer that has its own "personality". -
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cocolib / light field suite
CUDA library for continuous optimization and light field analysis
Library for continuous convex optimization in image analysis, together with a command line tool and Matlab interface. Implements several recent algorithms for inverse problems and image segmentation with total variation regularizers and vectorial multilabel transition costs. Also included is a suite for variational light field analysis, which ties into the HCI light field benchmark set and givens reference implementations for a number of our recently published algorithms. *** NOTE: ... -
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Simple program that displays information about CUDA-enabled devices. The program is equipped with GPU performance test.
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VideoMan Library
C++ library for image acquisition and visualization
Library for capturing video from cameras, 3d sensors, frame-grabbers, video files and image sequences. It can also display multiple images using OpenGL with different layouts. Easy integration with OpenCV, CUDA... Perfect for computer vision. Keywords: video capture, computer vision, machine vision, opencv, opengl, cameras, video input devices, firewire, usb, gige -
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xmrMiner
A CUDA based miner for Monero
An optimized Monero miner designed to maximize GPU mining efficiency. -
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GPU MrBayes implements MrBayes MC(3) on the GPU using CUDA. When using our program in your article, please cite our paper "Efficient Implementation of MrBayes on multi-GPU" (http://mbe.oxfordjournals.org/content/early/2013/03/14/molbev.mst043.abstract.html?papetoc).
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Ethereum Mining NVIDIA Graph Card Ubuntu
USB flash drive ISO image for Ethereum, Zcash and Monero mining
USB flash drive ISO image for Ethereum mining with NVIDIA graphics cards and Ubuntu GNU/Linux (64-bit Intel/AMD (x86_64)). Other cryptocurrencies, such as Monero or Zcash, can also be mined. With this ISO image, you can immediately mine Ethereum (ETH). Do not spend long time searching and researching. If you do not trust me and do not want to use the image, you will find all configuration files and scripts in the files folder. You only have to install an Ubuntu Linux with all the drivers and... -
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ffp
A 3D Free Finite element Program
A 3D Free Finite element Program. Still under development but already working: solves the steady state Navier-Lamé and the Laplace equation in 3D on tetrahedrons. It uses the Intel MKL and NVIDIA CUDA library for solving. GSL support needs to be improved. Open CL is still missing. In addition to the numerical core (which can be used stand-alone), another project called mcf exists for using ffp as a FEFLOW plug-in. -
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This project, initially developed at University College London, contains programs to perform rigid, affine and non-linear registration of nifti or analyse images. Two versions of the algorithms are included, a CPU- and a GPU- (using CUDA) based implementation.
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...The program can be invoked within MATLAB and any other scripting language. It can export the results in different formats including ASCII text “.txt” and MATLAB “.mat” format. The program can also utilize the power of GPU via CUDA. With a modern gaming card “NVidia GTX TITAN”, a speed increase of a factor of 100 times can be achieved. This makes NPP a powerful tool especially for simulating long waveguides.
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Merlin.jl
Deep Learning for Julia
Merlin is a deep learning framework written in Julia. It aims to provide a fast, flexible and compact deep learning library for machine learning. Merlin is tested against Julia 1.0 on Linux, OS X, and Windows (x64). -
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Deepo
Set up deep learning environment in a single command line
Deepo is a series of Docker images that allows you to quickly set up your deep learning research environment, supports almost all commonly used deep learning frameworks, supports GPU acceleration (CUDA and cuDNN included), also works in CPU-only mode, and works on Linux (CPU version/GPU version), Windows (CPU version) and OS X (CPU version). Their Dockerfile generator that allows you to customize your own environment with Lego-like modules, and automatically resolves the dependencies for you. For users in China who may suffer from slow speeds when pulling the image from the public Docker registry, you can pull deepo images from the China registry mirror by specifying the full path, including the registry, in your docker pull command. ... -
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udprog
The Yearbook of the Programmers of University of Debrecen
This is an exercise workbook. It contains programming examples in C,C++ and Java in the following areas: Linux kernel, MINIX kernel, Android, C++11, Qt, Open CV, OGRE, Pthreads, Open MP and CUDA. But, this is more than a book because it includes source codes, photos and information about the students. -
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CUBiBit
Tool to search binary biclusters on CUDA-enabled GPUs
CUBiBit is a parallel tool to accelerate the search of biclusters on binary datasets using CUDA-enabled GPUs. This data mining procedure is especially useful for gene expression data. This tool receives as input a file with ARFF extension that contais the binary values of m attributes and n samples and returns a file with the biclustering information. It is able to exploit the parallel capabilities of manycore NVIDIA GPUS. It also makes use of C++11 multithreading support to accelerate one phase of the algorithm on several CPU cores. -
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SMlocalizer
CUDA based ImageJ plugin for single molecule localization microscopy
SMLocalizer is a CUDA enabled ImageJ plugin for single molecule localization microscopy. The plugin aims to be a user friendly and powerful alternative to currently availible softwares where most settings are iteratively obtained by the software, not the user. The current version handles 3D multichannel data in any format that can be loaded into ImageJ/ Fiji. 3D modalities supported are PRILM, Biplane, Double helix and astigmatism. -
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Deep Photo Style Transfer
Code and data for paper "Deep Photo Style Transfer"
Deep Photo Style Transfer is an implementation of the algorithm described in the paper “Deep Photo Style Transfer” (arXiv 1703.07511). The software allows users to transfer the style of one photograph to another while preserving photorealism and semantic consistency. It relies on semantic segmentation masks to guide style transfer (so that e.g. sky maps to sky, building maps to building), and uses a matting Laplacian regularization term to ensure smooth transitions. The repository provides... -
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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. -
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...This library aims to provide machine learning researchers and practitioners with a high performance library by taking advantage of the GPU enormous computational power. The library is developed in C++ and CUDA.
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QtAV
A cross-platform multimedia framework based on Qt and FFmpeg
...It provides a flexible API for decoding, encoding, and rendering media streams, supporting a wide variety of formats through FFmpeg integration. The framework supports hardware acceleration technologies such as DXVA, VAAPI, and CUDA, ensuring efficient playback even for high-resolution or complex video formats. QtAV includes features like subtitle handling, video filters, frame-by-frame playback, and customizable rendering pipelines using OpenGL and other backends. It integrates seamlessly with Qt Widgets and QML, allowing developers to build modern user interfaces while maintaining performance. ... -
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CUDA-MEME
Ultrafast scalable motif discovery algorithm using GPU computing
mCUDA-MEME is a well-established ultrafast scalable motif discovery algorithm based on MEME (version 4.4.0) algorithm for multiple GPUs using a hybrid combination of CUDA, MPI and OpenMP parallel programming models. This algorithm is a further extension of CUDA-MEME (based on MEME version 3.5.4) with respect to accuracy and speed and has been tested on a GPU cluster with eight compute nodes and two Fermi-based Tesla S2050 (and Tesla-based Tesla S1070) quad-GPU computing systems, running the Linux OS with the MPICH2 library. ... -
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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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GPU3SNP
Exhaustive search for third order epistatic interactions using CUDA
GPU3SNP is a multi-GPU tool that exhaustively analyzes case-control datasets looking for 3-SNP combinations that present epistatic interaction. It provides a list with the combinations that have higher Mutual Information, which is used as measure for interaction. It is parallelized using CUDA and can exploit several GPUs in the same node/system. -
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waifu2x-cpu-torch-vks
waifu2x fork without CUDA
The original is here: https://github.com/nagadomi/waifu2x Differences: - CPU only, no CUDA needed; - double-precision version; - GPU and CPU-trained models (on the fly conversion in memory); - adapted for Lua v5.2 (works with Torch 7 on x32 Ubuntu). 31-12-2016: - removed unneeded data copies, left from CUDA processing; - removed large duplicate files (see "ReadMe" before use). -
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SW#
smith waterman, gpu, cuda, alignment
SW# (swsharp) is a library for sequence alignment based on CUDA enabled GPUs. It utilizes Hirschbergs and Ukkonens algorithm for memory efficiency and additional speed up. The library is scalable for use with multiple GPUs. Some parts of the library utilize MPI for CUDA enabled clusters. This work has been supported in part by Croatian Science Foundation under the project UIP-11-2013-7353. -
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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