Search Results for "cuda" - Page 2
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Showing 34 open source projects for "cuda"
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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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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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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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This project is for CUDA bindings in F95/2003 using the Fortran 2003 ISO_C_BINDINGS module. It is intended to give near native call syntax to the CUDA SDK in Fortran 2003. Currently, most Fortran compilers are supporting the ISO_C_BINDINGS module.
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This project is a Neural Network Training Library implemented on CUDA. It's compatible with the most used libraries but allows to exploit the full power of NVIDIA graphic cards. Experimental results show speed ups over 100 times against CPU libraries
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Allows CUDA developers to deploy kernels requiring more global GPU memory than is available by transparently mapping pinned CPU memory into the GPU memory map. Works behind the scenes and is easily added to existing projects with minimal effort.
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cudaHashMap provides a insert-only hash map on CUDA. It is part of the MAPP project (https://sourceforge.net/projects/mapp/).
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A fast JPEG2000 encoder running on CUDA-capable GPUs. Supports lossless and lossy encoding. Both commandline tool with GUI and CUDA/C++ library. Visit >> http://cuj2k.sourceforge.net << for further information.
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nVidia CUDA and MPI python wrappers. These wrappers are written in pure C no swig or boost necessary. The CUDA wrapper exposes the CUDA runtime and Driver API's.
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