Search Results for "gpu" - Page 3
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Showing 111 open source projects for "gpu"
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DualSPHysics
C++/CUDA/OpenMP based Smoothed Particle Hydrodynamics (SPH) Solver
DualSPHysics is based on the Smoothed Particle Hydrodynamics method and can be downloaded from the official website (www.dual.sphysics.org). 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... -
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Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters, implemented in OpenCL. The framework was mainly designed as a toolkit for the rapid development of interactive art projects that explore dynamics of complex environments. The Scene GUI runs and compiles under Windows, Linux, and MacOS X, and is available in both 32 bit and 64 bit versions.
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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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LightSpMV
lightweight GPU-based sparse matrix-vector multiplication (SpMV)
...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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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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CUDAlign
CUDAlign is a tool that aligns huge DNA sequences in CUDA capable GPUs
...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. IEEE Transactions on Parallel and Distributed Systems, vol. 99, PrePrints, 2012 [2] Edans Sandes, Alba Melo. Smith-Waterman Alignment of Huge Sequences with GPU in Linear Space. IPDPS 2011: 1199-1211 [3] Edans Sandes, Alba Melo. CUDAlign: using GPU to accelerate the comparison of megabase genomic sequences. PPOPP 2010: 137-146 The latest source code can be found in Github. ... -
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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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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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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 with different lengths. ... -
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mapgraph
Massively Parallel Graph processing on GPUs -- now part of Blazegraph
...The early work was co-developed with the University of Utah SCI Institute and has its pedigree in the UINTAH software running on over 750M cores on the TITAN Super Computer. Today, SYSTAP has commercialized this technology into it’s Blazegraph Accelerator and Blazegraph HPC products. Checkout our options for GPU acceleration of graphs or contact us to learn more: https://www.blazegraph.com/product/gpu-accelerated/. The early work was released under the Apache 2 open source license and is available on here at Sourceforge. This work was (partially) funded by the DARPA XDATA program under AFRL Contract #FA8750-13-C-0002 and DARPA Contract #D14PC00029. -
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MICA-aligner
Next-generation sequencing short reads aligner based on Intel® MIC
...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 allows very efficient scale-up when multiple MIC boards are used in a node (3 cards gives a 14-fold speedup over 6-core BWA-MEM). -
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LDNI-based Solid Modeling
Solid Modeling Framework in GPU
This project provides a set of solid modeling tools which aims to help processing 3D objects with complex topology and geometry that are widely used in many industrial applications (e.g., microstructure design and manufacturing, biomedical products and applications, jewelry products, reverse engineering). The system is completely GPU-based and heavily based on an implicit representation named LDNI. -
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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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Ezys
Ezys 3D medical image registration program
Ezys is a non-linear 3D medical image registration program. Ezys fully exploits the parallel computing power of inexpensive commercial graphics processing units (GPU), resulting in a very fast and accurate program capable of running on desktop PCs and even some laptops. On these systems, non-linear image registrations take less than a minute to complete. Ezys implements a diffeomorphic inverse consistent image registration algorithm with a demons-style regularization based on a non-parametric free form deformation model. ... -
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SIMBUCA (before called Simonion) is a simulation package that simulates the motion of charged particles under the influence of Electric and/or Magnetic fields. What makes Simbuca unique is that you can choose to calculate the Coulomb interaction between ions on a Graphics cards which is much faster than calculating this on the conventional CPU (reducing the simulation time from years to days). Therefore Simbuca has been applied in various projects which required to understand the...
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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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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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GENIE (GEne-geNe IntEraction)
GPU based Parallel Gene-Gene Interaction Analysis
...However, currently there are no genetic analysis software packages that allow users to fully utilize the computing power of these multi-core devices for genetic interaction analysis for binary traits. Here we present a novel software package GENIE, which utilizes the power of multiple GPU or CPU processor cores to parallelize the interaction analysis. Citation: Chikkagoudar, S., Wang, K., & Li, M. (2011). GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores. BMC research notes, 4(1), 158. -
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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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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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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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Hierachical_DNAcoder
An Hierachical Approach to Multi-Reference Genome compression
...Our approach works for the de facto standard alignment format (i.e., BAM) compression that is the pressing need at present. We align new sequences to a reference sequence using SOAP3, a GPU-based aligning software, and summarize mapping properties and information for exact mapped reads. To increase the exact aligning rate, we also realign the approximately mapped and unmapped reads by changing the reference sequence or shortening the read length. Meanwhile, we further the study using “lossy” quality values through k-means clustering scheme and find its minute effect on downstream applications. ... -
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A shareware for build realtime photoacoustic tomography image using NVidia Geforce GPU. Can work in both offline mode or online mode.
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GPU Frequent Items
Frequent items mining exploiting sorting on GPU http://goo.gl/HYBFl
In this project, we tackle the calculation of frequent items in a data stream, and show how it can be implemented using GPUs. -
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LBP in multiple platforms
LBP implementation in multiple computing platforms (ARM,GPU, DSP...)
...When selecting a suitable LBP implementation platform, the specific application and its requirements in terms of performance, size, energy efficiency, cost and developing time has to be carefully considered. This is a software toolbox that collects software implementations of the Local Binary Pattern operator in several platforms: - OpenCL for CPU & GPU - OpenCL for GPU (branchless) - C code optimized for ARM - OpenGL ES 2.0 shaders mobile GPUs - C code for TI C64x DSP core (branchless) - C code for TTA processor synthesis If you use the code somewhere, please cite: Bordallo López M., Nieto A., Boutellier J., Hannuksela J., and Silvén O. "Evaluation of real-time LBP computing in multiple architectures," Journal of Real Time Image Processing, 2014
