Search Results for "gpu-z" - Page 2
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60 programs for "gpu-z" with 2 filters applied:
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Aquila
Software Architecture for Cognitive Robotics
Aquila 2.0, an open-source cross-platform software architecture for cognitive robotics that makes use of independent heterogeneous CPU-GPU modules with loosely coupled dynamically generated graphical user interfaces. -
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KEMP
A FDTD solver for electromagnetic wave simulations on a GPU cluster
KEMP is a fast FDTD solver on a GPU-based cluster. The FDTD (Finite-Difference Time-Domain) method is a popular numerical method for electromagnetic field simulations. KEMP enables hardware accelerations suitable for multi-GPU, multi-core CPU and GPU cluster. KEMP also provide easy configuration by using Python scripting language. -
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SOAP3-DP
Fast, Accurate and Sensitive GPU-based Short Read Aligner
Latest Code on GitHub: https://github.com/aquaskyline/SOAP3-dp SOAP3-dp, through leveraging the computational power of both CPU and GPU with optimized algorithms, delivers high speed and sensitivity simultaneously. Compared with widely adopted aligners including BWA, Bowtie2, SeqAlto, CUSHAW2, GEM and GPU-based aligners BarraCUDA and CUSHAW, SOAP3-dp was found to be two to tens of times faster, while maintaining the highest sensitivity and lowest false discovery rate (FDR) on Illumina reads... -
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MICA-aligner
Next-generation sequencing short reads aligner based on Intel® MIC
Latest Code in GitHub: https://github.com/aquaskyline/MICA-aligner To better utilize MIC-enabled computers for NGS data analysis, we developed a new short-read aligner MICA that is optimized in view of MIC’s limitation and the extra parallelism inside each MIC core. Experiments on aligning 150bp paired-end reads show that MICA using one MIC board is ~4.85 times faster than the CPU-(multi-core)-based BWA-MEM and about the same speed as the GPU-based SOAP3-dp. Furthermore, MICA’s simplicity... -
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LGML
LGPL GML parser
LGML is a GML parser under the LGPL license. The aim is to parse a GML document or fragment in order to get a WKT output. 2D and 3D inputs are both handled, but it is not permitted to have mixed geometries. The caller can choose if the input coordinates are parsed as X, Y, Z (if present) order, or Y, X, Z (if present) order. The willing of the project is to be a starting point useful for developers that need to parse GML objects in order to use them, for example, in the context of OGC... -
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==================================== ***** ATTENTION!!! WE HAVE MOVED!!! ***** 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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CoDeCZ
Derive copy number status from targeted sequencing data
CoDeCZ derives copy number state from targeted sequencing data on gene or exon level. Results are NOT true copy number however, but they are semi-quantitative: It uses the modified z-score to calculate deviation in normalized coverage per specified region. The higher the Z-score, the higher the copy number. The final z-score depends on the quality of the data and the makeup of the reference pool. -
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Block Matrix library
Highly efficient implementation of BLAS for sparse block matrices.
Highly efficient implementation of BLAS for sparse block matrices. Accelerated using heavy-duty C++ meta-programming, SIMD instructions and GPU. -
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gcr_convert
converts cosmic-ray files from GALPROP for viewing / plotting.
The GALPROP program (http://galprop.stanford.edu) computes cosmic-ray propagation in the Galaxy, in 2D or 3D. The ouput cosmic-ray distribution is in the form of FITS files which however are not convenient for viewing or plotting with the standard ftools program fv, since the files have 4 or 5 dimensional arrays (due to the momentum and species axes) while fv handles only 3 dimensional arrays. This program converts to fv-compatible FITS files, either from 2D to (R,z) or from 3D to (x,z) at y... -
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FreDec
Parallelized FREquency DEComposer algorithm
.... 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. Please go to the project forum to report any bugs. -
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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... -
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libcerf
Complex error functions, Dawson, Faddeeva, and Voigt function
A self-contained C library providing complex error functions, based on Faddeeva's plasma dispersion function w(z). Also provides Dawson's integral and Voigt's convolution of a Gaussian and a Lorentzian. -
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rfMaxima is an RF toolbox for the wxMaxima computer algebra system.
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DecGPU: CUDA-based Error Correction
The first distributed and parallel short-read error corrector on GPUs
DecGPU (Distributed Error correction on GPUs) is a parallel and distributed error correction algorithm for large-scale short read assembly. It is implemented using CUDA C++ and MPI, running on a GPU cluster. -
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ViennaFEM
A finite element solver using state-of-the-art programming techniques.
ViennaFEM is a library-centric implementation of the finite element method in C++. It features a symbolic math kernel, which manipulates the strong or weak form of the problem and automatically derives the discrete form. ViennaFEM is built on top of the following libraries: ViennaMath provides the symbolic math kernel, ViennaGrid (with ViennaData) allows for a generic grid handling and quantity storage, while ViennaCL provides the linear solvers and GPU acceleration. -
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Java Decision Diagram Libraries (BDD)
Java Decision Diagrams (BDD) libraries: JDD and JBDD
This project has been moved to bitbucket.org: - https://bitbucket.org/vahidi/jbdd/wiki/Home - https://bitbucket.org/vahidi/jdd/wiki/Home It includes two libraries for working with decision diagrams: - JBDD: a Java interface to two popular BDD libraries, CUDD and BuDDy - JDD: a native Java library supporting BDD, Z-BDD -
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A program for exploring complex functions, much like the now out-dated f(z). Domain colored plots of complex functions. Click evaluate. Uses reflection so you can code almost anything for your formula. All java. Please help.
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This project aims at providing a user package for the molecular dynamics software LAMMPS, which allows the complete simulation to run on a GPU. Additional information and svn access to "bleeding etch" code can be found on the project website below.
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An Interactive Fiction Player written for Java Virtual Machine. It implements the Z-machine and Glulx specifications and can be used either standalone or as an applet. The Z-Code/Glulx interpreter runs adventures made by Infocom and contemporary Inte
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This Python 3.1 tool manipulates the coordinate system of CNC GCODE for machining or engraving. It can Flip X, Y, or Z coordinates, mirror X, Y, or Z coordinates, flip or Mirror both XY coordinates, or insert Z motions into a GCODE file devoid of them.
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The project is aiming to do two things: track the total transit time it takes a news story to travel from site A to site Z across the net and we'll be indexing the content of the article at each hop and tracking the morphing of the content as it goes
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simple game of life use gpu cuda
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BLAS (Basic Linear Algebra Subprograms) is used to perform operations such as vector and matrix multiplication. LAPACK is buit using BLAS. This project is a beginning of BLAS functions and procedures for OpenCL language on GPU.
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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.