Search Results for "cuda" - Page 9
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Showing 309 open source projects for "cuda"
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cphcttoolbox
Cph CT Toolbox is a selection of Computed Tomography tools
Copenhagen Computed Tomography Toolbox is a collection of applications and libraries for flexible and efficient CT reconstruction. The toolbox apps generally take a set of projections (X-ray intensity measurements) and filter and back project them in order to recreate the image or volume that the projections represent. The project includes both mostly informative CPU implementations and highly efficient GPU implementations. Regular releases are hosted at the Python Package Index. -
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videoMagnification
Video magnification
Parallel implementation of Video Magnification aiming Nvidia CUDA platform. Based on http://people.csail.mit.edu/mrub/vidmag/ -
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DualSPHysics
C++/CUDA/OpenMP based Smoothed Particle Hydrodynamics (SPH) Solver
...The code is developed to study free-surface flow phenomena where Eulerian methods can be difficult to apply, such as waves or impact of dam-breaks on off-shore structures. DualSPHysics is a set of C++, CUDA and Java codes based on the SPHysics FORTRAN project (www.sphysics.org) that are designed to deal with real-life engineering problems and are provided along with pre-compiled binaries and source for Windows/Linux/Unix as well as a number of example test cases. -
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OpenCV CUDA Binaries
OpenCV Pre-built CUDA binaries
... - https://www.nuget.org/packages/opencvcuda-release/ - https://www.nuget.org/packages/opencvcuda-debug/ Packages for Release and Debug configurations (due to file size limitations on nuget.org) built with CUDA Toolkit 7.0.0 targeting architectures 2.0, 2.1, 3.0, 3.5, 3.7, 5.0, 5.2 suitable for Visual Studio 2013. -
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The GPU-BH tree solver is a FLASH4 module to calculate the gravitational potential using a CUDA device.
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ViennaCL
Linear algebra and solver library using CUDA, OpenCL, and OpenMP
ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects. -
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This project, developed at UCL London, provides code for tomographic reconstruction. NiftyRec is written in C and has Python and Matlab extensions. Computationally intensive functions have a GPU accelerated version based on CUDA.
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CUDA-Quicksort
CUDA-Quicksort: A GPU-based implementation of the quicksort algorithm
CUDA-quicksort is a GPU-based implementation of the quicksort algorithm. CUDA-quicksort is designed to exploit the power computing of modern NVIDIA GPUs. "Two GPU-based implementations of the quicksort were presented in literature: the GPU-quicksort, a compute-unified device architecture (CUDA) iterative implementation, and the CUDA dynamic parallel (CDP) quicksort, a recursive implementation provided by NVIDIA Corporation."[*]. -
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LightSpMV
lightweight GPU-based sparse matrix-vector multiplication (SpMV)
LightSpMV is a novel CUDA-compatible sparse matrix-vector multiplication (SpMv) algorithm using the standard compressed sparse row (CSR) storage format. We have evaluated LightSpMV using various sparse matrices and further compared it to the CSR-based SpMV subprograms in the state-of-the-art CUSP and cuSPARSE. Performance evaluation reveals that on a single Tesla K40c GPU, LightSpMV is superior to both CUSP and cuSPARSE, with a speedup of up to 2.60 and 2.63 over CUSP, and up to 1.93 and 1.79 over cuSPARSE for single and double precision, respectively. -
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libCudaOptimize
A Parallel Optimization library with CUDA
LibCudaOptimize is a GPU-based open source library that allows you to run state-of-the-art bio-inspired optimization heuristics in parallel to optimize a fitness function, introduce a new optimization algorithm, or easily modify/extend existing ones. -
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SVMBenchmark
CUDA SVM training benchmark
This application can train SVM using LibSVM and several CUDA implementations. Supported input file formats are LibSVM text file and Bottou's LaSVM binary file. Wanted implementation can be chosen using command line parameter. Training, input data loading and output data saving times are measured and reported. Output model is saved in LibSVM text format. -
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RapidCFD
CFD solvers running on CUDA platform
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CUDAlign
CUDAlign is a tool that aligns huge DNA sequences in CUDA capable GPUs
CUDAlign is a tool able to align pairwise DNA sequences of unrestricted size in CUDA GPUs, using the Smith-Waterman algorithm combined with Myers-Miller. It produces the optimal alignment of 1 million base sequences in 45 seconds using a GTX 560 Ti. Many optimizations are being developed for this software. Look at the following papers for detailed information: [1] Edans Sandes, Alba Melo. Retrieving Smith-Waterman Alignments with Optimizations for Megabase Biological Sequences using GPU. ... -
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The goal of this project is to develop a high-performance black-box fast multipole method (bbFMM) that can run very fast on a CUDA-capable GPU. Our prime objective is to offload the multipole-to-local operation (M2L) and the particle-to-particle computation (P2P) efficiently onto GPU. The bbFMM is the primary target, but other FMM variants can work with our high-performance M2L codes.
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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. -
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OpenGL Mathematics (GLM) is a C++ mathematics library for 3D software based on the OpenGL Shading Language (GLSL) specification.
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Cognitive Stability and Flexibility FIT
GPU Accelerated Fitting of Behavioral Data by a Physiological Model
Using the NVIDIA-CUDA framework, mcmc_min is able to efficiently sample the Bayesian posterior distribution over the parameters of a physiologically derived model of a task-switching and distractor inhibition paradigm. The model features a working-memory module, implementing the currently active task rule in terms of a two-dimensional stochastic dynamical system with three attractor states (rule 1, rule 2, spontaneous). -
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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.
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MDcore is an Open-Source library implementing the core functionality of a Molecular Dynamics engine. The engine is inherently multi-threaded and runs efficiently on multi-processor/multi-core shared-memory architectures.
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CURRENNT
CUDA-enabled machine learning library for recurrent neural networks
CURRENNT is a machine learning library for Recurrent Neural Networks (RNNs) which uses NVIDIA graphics cards to accelerate the computations. The library implements uni- and bidirectional Long Short-Term Memory (LSTM) architectures and supports deep networks as well as very large data sets that do not fit into main memory. -
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...***** 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.
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Boson Graphical Neural Network
A 128-bit Neural Network Graphics and Physics Engine for Mac OS X
Boson Graphical Neural Network A 128-bit Neural Network Graphics and Physics Engine for Mac OS X 10.10. Built with Metal and Swift. Must be a registered Mac Developer with Yosemite installed. Required to build: Quartz Composer, Nvidia CUDA SDK, Max 6.1 or Max 7, Swift Compiler and Metal Compilers. Written by Eli Hutton in 2014. Subject to APSL (see LICENSE). -
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gxLibrary : C++ (CUDA+AMP+CPU)
C++ library for easy simulations on any CUDA/AMP/CPU or remote PC
...Easily write C++ code that is same as single-threaded ( or shorter and simpler) , and gxLibrary will compile and run that code as massive multi-threaded on any available GPU (CUDA/AMP) or CPU, either on local or remote PC. Write code functions once, just like they would be written for regular single-threaded cases - no need to write separate code for CUDA or AMP or CPU, or to modify code for parallel execution. No need for *any* knowledge about CUDA or AMP or even CPU multi-threading. gxLibrary is source only ( 4 files ), intended to be included in Visual Studio 2012+ projects , primarily geared for non-production projects (proofs of concepts, testing, individual problem solutions) on Visual C++ Win32 Console applications, but can be used in other environments also. ...