Search Results for "cuda" - Page 12
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Showing 309 open source projects for "cuda"
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Renderer for flam3 cosmic recursive fractal flames implemented on GPU. Requires a CUDA-capable graphics card.
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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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GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same.
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Small and easy to use implementation of CUDA-based hologram reconstruction for Fourier holograms (comes with an example program to reconstruct holograms together with aberrations, zero-padding, Gaussian input etc.)
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Parallel Reinforcement Evolutionary Artificial Neural Networks (PREANN) is a framework of flexible multi-layer ANN's with reinforcement learning based on genetic algorithms and a parallel implementation (using XMM registers and NVIDIA's CUDA).
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OpenMPagrep and CUDAagrep are respectively OpenMP and CUDA implementation of agrep algorithm for approximate DNA string matching. Both OpenMPagrep and CUDAagrep are free of charge and open source. Users can modify the source at their own risk.
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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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CUDAMemory is a memory management class for use with the CUDA architecture from nVidia. It makes transfering of host and device memory simple, and can behave very similar to host code.
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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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Model2GPU is a case tool for GPGPU applications. It doesn´t work directly with source code, it works with a visual representation of the application, i.e. a model. This approach is known as MDD (Model-Driven Development).
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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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Library for working with color morphologies, fuzzy integrals and color detection. Cuda version also included (under development).
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simple game of life use gpu cuda
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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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libida si library which implements Rabin's Information Dispersal Algorithm through various kernels (e.g. CUDA).
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Matlab CUDA wrappers. This project was part of GPUmat, a Freeware GPU Toolbox for Matlab(R) (http://gp.you.org). This program is free software (GPL).
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This project shows how to integrate NVIDIA CUDA GPU programming API into ITK (Insight Segmentation and Registration Toolkit) library
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multiDAC is intended to become a user-friendly tool for image- and videoprocessing in the field of deformation/movement analysis. It is written in C# with some C routines using CPU/GPU parallelization (e.g. CUDA) and features a plugin manager.
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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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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)
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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/