Search Results for "cuda gpu" - Page 6
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Showing 163 open source projects for "cuda gpu"
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FiberCrunch
Automatiza el proceso de Crackeo de Handshake de Redes Fibertel WiFi
FiberCrunch v3 es un software desarrollado para Windows que Automatiza el proceso de Crackeo de Handshake de Redes Fibertel WiFiXXX de Argentina. El mismo actualmente cuenta con la ayuda de Crunch para generar automáticamente los diccionarios para el Crackeo, sin requerimientos de espacio adicionales en disco. También posee precargados, todos los patrones actuales, un total de 24 patrones recompilados. Actualmente es un prototipo en desarrollo y seguramente pueda que este lleno de... -
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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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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
A fast feature extraction software tool for speech analysis and processing. 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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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). The working memory module is given inputs representing the task cue in... -
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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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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. ... -
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Cryptohaze
GPU accelerated password cracking tools
A CUDA & OpenCL accelerated rainbow table implementation from the ground up, and a CUDA hash brute forcing tool with support for many hash types including MD5, SHA1, LM, NTLM, and lots more! -
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The sequence alignment task in MAGI (magi.ucsd.edu) is based on the miRanda algorithm, but we redesign the miRanda algorithm on GPU by taking its advantages of massively parallel computing and extra high memory bandwidth using using NVIDIA’s Compute Unified Device Architecture (CUDA). The CUDA-miRanda implementation is a fast microRNA target identification algorithm that aligns short nucleotide sequences (i.e., < 32 nucleotides) against longer reference sequences (e.g., 20k nucleotides). ...
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FASTCUDA
Execution of CUDA programs on a Heterogeneous FPGA-based Architecture
FASTCUDA methodology proposes the use of CUDA, a Graphical Processing Unit (GPU) language which exposes parallelism at source code in a FPGA hardware acceleration environment.The FASTCUDA toolset splits, with minimal user intervention, application's code into two parts: one that will be compiled and executed as parallel software in an embedded Multi-core, and another that will be synthesized and implemented with multiple special-purpose accelerators in hardware. -
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HyCuda
Hybrid Framework Generator for CUDA
The HyCuda code-generator generates a template framework to easily compile different versions of a hybrid algorithm. When set up, you can switch between devices to execute part of the algorithm without having to worry about memory transfers. Based on a specification file that describes some properties of the algorithm, HyCuda generates C++11 header- and sourcefiles, only a few of which have to be modified by the programmer in order to implement the algorithm itself. The generated code... -
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FreDec
Parallelized FREquency DEComposer algorithm
...After selection of the initial frequency candidates, the algorithm passes through all their possible combinations and estimates their multi-frequency statistical significance. In the end, it prints out the set of largest frequency tuples that were still found significant. The GPU computing is implemented through CUDA and brings a significant performance increase. It is still possible to run FreDec solely on CPU, if no suitable GPU device is available in the system. See the details of the underlying theory in Baluev 2013, MNRAS, V. 436, P. 807 The description of the algorithm itself can be found in arXiv:1309.0100. ... -
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grn_inference_multigpu
This project is a exhaustive search algoritm for multiple GPUs
...Among the search algorithms already proposed, there is the exhaustive search where the best feature subset is returned, although its computational complexity is unfeasible in almost all situations. The objective of this work is the development of a low cost parallel solution based on GPU architectures for exhaustive search with a viable cost-benefit. We use CUDA , a general purpose parallel programming platform that allows the usage of NVIDIA GPUs to solve complex problems in an efficient way. -
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GPU Edge Detector
GPU Interactive Program For Edge detection
This is a standalone, all in one Edge Detector that is mainly running on GPU using the CUDA technology. Each algorithm also has an OpenCV counterpart which is the closest one in terms of speed. This project is partly based on the Sobel Filter sample available as part of the CUDA SDK. This project also partly uses the OpenCV library to load different types of image. This program includes: Prewitt filter, Roberts Cross, Canny edge detector and finally Sobel filter with the ability to modify some variables such as sigma in Canny and see the result in real-time. ... -
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Molecular Measurer
Parallel, Stochastic Measurement of Molecular Surface Area
A program to measure molecular surface area. The algorithm is GPU-accelerated using CUDA and is described in the research paper linked from the project home page. The input to the program is xyzr files, which can be generated from pdb files. -
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VolTK
A Lightweighted Toolkit For Volume Rendering
A Lightweighted Toolkit For Volume Rendering Project Started by Fei Yang Provide both CPU based and GPU (CUDA) based volume rendering. See http://www.fei-yang.org/?page_id=12 for complete descriptions and package downloads VolTK is a free C++ Toolkit that implements a tri-layer volume rendering framework, which is designed to meet the requirements of both algorithm research and application assemblage. Features * Tri-layer volume rendering * CPU implementation: multi-threading supported * GPU implementation: CUDA based implementation * CPU-GPU correspondance * Both low level interfaces and high level interfaces are provided * Replace the components easily with your own design * Various rendering modes: MIP/Isosurface/Full volume rendering * Endoscopy interaction mode implemented * Pre-integration supported * Cross platform (windows and RHEL tested) -
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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:... -
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birgHPCC
Rapid CUDA Cluster Deployment
...While retaining the major functions of the original birgHPC, including automated computing cluster conversion and auto slots detection, the new version (birgHPCC) is capable of creating and configuring a compute unified device architecture (CUDA) computing cluster, hence the extra “C” in the name. In addition to the increase in image size (less than 2 gigabytes) and a new Linux base (previously Debian, now Ubuntu), CUDA-capable bioinformatics software programs, such as NAMD, HOOMD-blue, VMD, GPU-HMMER and GPU-BLAST, are pre-installed in birgHPCC, along with the CUDA driver, libraries and software development kit (SDK). ... -
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GPU-based autocorrelator to run on VLBI disk based Data Recorders. Written in CUDA
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Vocale
Virtual CUDA Library Extension for Qemu
This is the source code of Vocale. Vocale is a software project written as part of a master thesis in GPU virtualization at the University of Oslo. Vocale is an extension to the Qemu hypervisor that emulates the CUDA library in Qemu's virtual machines. Applications in the virtual machines can thus use any GPU in the physical machine to accelerate their operation. Function calls and kernel launches are forwarded to the host and executed using the real CUDA library. ... -
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MSCashe
Bruteforce domain cached passwords on CUDA.
A application for bruteforce domain cached (MS Cashe) passwords on Windows. Work on CUDA. -
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Rozkład temperatury w pomieszczeniach
Symulacja procesów cieplnych zachodzących w pomieszczeniach
...Piotr Fiertek Celem projektu jest stworzenie środowiska symulacyjnego dla procesów termicznych zachodzących w pomieszczeniach. Integralną jego częścią jest implementacja algorytmów obliczeniowych na procesorach graficznych GPU przy użyciu standardów CUDA oraz OpenCL. Innymi ważnymi elementami są graficzna wizualizacja wyników z wykorzystaniem biblioteki graficznej OpenGL oraz stworzenie interfejsu użytkownika umożliwiającego zmianę parametrów symulacji. -
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This is a simple ray tracing algorithm implementation. The same algorithm is implemented on CPU and GPU with CUDA, and the performance of the GPU based ray tracing is much better than the naive CPU one. cuda and directx sdk are required.
