Search Results for "parallel computing datamaning" - Page 3
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Showing 220 open source projects for "parallel computing datamaning"
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Version2. to cite this collection: DOI: http://dx.doi.org/10.12785/ijcds/100161 title={A Combined Method of Naïve-Bayes and Pooling Strategy for Building Test Collection for Arabic/English Information Retrieval}, author={Mazari, Ahmed Cherif and Djeffal, Abdelhamid}, journal={International Journal of Computing and Digital Systems}, volume={10}, year={2021}, publisher={University of Bahrain} }
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Cuda Simulated Annealing GPU Route Plan
An Optimized GPU-Accelerated Route Planning of Multi-UAV Systems Using
An Optimized GPU-Accelerated Route Planning of Multi-UAV Systems Using Simulated Annealing Article CUDA CODE Usage of multiple unmanned aerial vehicles (UAV) in a certain mission makes flight route planning more complicated and slower. In order to obtain better performance, in the literature, most of the researchers propose using evolutionary algorithms and artificial intelligence approaches based on heuristics as optimization techniques. In addition to this, parallel programming... -
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splitjob
Reads from stdin, splits and sends to parallel invocations of commands
Useful to split up jobs over multiple CPU cores or even multiple computers. Examples: tar -cf - /bigdirectory | splitjob -j 4 gzip > big.tar.gz splitjob "ssh h1 bzip2" "ssh h2 bzip2" < f > f.bz2 -
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PeMSyn
Matlab/Scilab-FEMM based GUI to Assist the Design of Permanent Magnet
Release: PeMSyn 2.4 - 03.Sep.21 Requirements: - Matlab 2018a or later (with Parallel Computing Toolbox ) - Scilab 6.1.0 or later - FEMM 4.2 (21Apr2019 or later) Matlab/Scilab-FEMM based GUI to Assist the Design of Permanent Magnet Machines: - Surface Mounted PMSM: Inner Rotor / Outer Rotor - Inset Mounted PMSM: Inner Rotor / Outer Rotor - Spoke-Type PMSM: Inner Rotor - Coreless Machine - Different Slot types available - Permeance Coefficient Assistant --- No-Load and On-Load estimation for PC during the design process - Winding Wizard Assistant - Performance Simulator (FEMM Based) --- No-Load and On-Load parameters assessment considering armature reaction and saturation effects --- Torque Curve Capability assessment --- Parallel Processing (Matlab only) TUTORIAL included! ... -
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YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
...Darknet on the CPU is fast (approximately 1.5 seconds on an Intel Core i7-6700HQ CPU @ 2.60GHz × 8) but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. The CMakeLists.txt file automatically detects if you have CUDA installed or not. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. -
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Accelerate
Embedded language for high-performance array computations
Data.Array.Accelerate defines an embedded language of array computations for high-performance computing in Haskell. Computations on multi-dimensional, regular arrays are expressed in the form of parameterized collective operations (such as maps, reductions, and permutations). These computations are online-compiled and executed on a range of architectures. Accelerate is a free, general-purpose, open-source library that simplifies the process of developing software that targets massively parallel architectures including multicore CPUs and GPUs. ... -
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CloudTest-Cloud java unit test framework
A redefined framework with new approach and methodology for unit test
CloudTest is a redefined unit testing approach and methodology, which can make your testing jobs become much more easy and efficient. It is a pure java lightweight framework integrated test cases management, test data management, assert management, automation regression, performance monitor and test report in one. -
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CAELinux
Dedicated to computer-aided engineering Linux distribution
CAELinux is an installable live (USB) Linux distribution dedicated to open source engineering with a focus on Computer Aided Engineering and Scientific Computing. Based on Ubuntu, it features a ready to use workstation environment for open source product development, makers and scientist with many CAD/CAM/CAE applications for mechanical design, stress analysis, heat transfer, flow simulation and CNC manufacturing / 3D printing as well as electronic design tools and a complete development environment for scientific computing & mathematical modeling. ... -
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PMCGPU
Parallel simulators for Membrane Computing on the GPU
Membrane Computing is a new research area (within Natural Computing) that aims to provide computing devices abstracted from the functioning and structure of living cells. These devices are called P systems. The objective of this project (PMCGPU) is to bring together all the researchers working on the development of parallel simulators for P systems, specially those using the GPU (e.g. -
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dupost
Dual Porosity Stokes model implemented with FEniCS
A coupled dual porosity Stokes model implemented with FEniCS. References: 1. C. Douglas, X. Hu, B. Bai, X. He, M. Wei and J. Hou, "A Data Assimilation Enabled Model for Coupling Dual Porosity Flow with Free Flow," 2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), Wuxi, 2018, pp. 304-307. doi: 10.1109/DCABES.2018.00085 2. Hu X., Douglas C.C. (2019) An Implementation of a Coupled Dual-Porosity-Stokes Model with... -
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NUGKit
Numerical Unstrcuted Grid Kit for scientific computing
This project is providing some part of scientific computing for doing finite element method about grid or mesh information. It is designed for handling grid information in parallel computing. And it also provides some modules for boundary conditions and data file formats. -
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Avian Parallel Computing
Develop parallel programs. Try various thread configs. GUI front-end.
Avian Computing seeks to efficiently create parallel programs by changing how we think about parallel programs. Avian Computing discourages thinking about lines of code and encourages us to use a new model: flocks of birds. Changing the model to flocks of birds makes it easier to think about the actions that we want to perform concurrently, which leads to simpler and quicker development of working parallel programs. -
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MarDRe
MapReduce-based tool to remove duplicate DNA reads
...Instead, MarDRe takes advantage of the MapReduce programming model to significantly improve ParDRe performance on distributed systems, especially on cloud-based infrastructures. Written in pure Java to maximize cross-platform compatibility, MarDRe is built upon the open-source Apache Hadoop project, the most popular distributed computing framework for Big Data processing. -
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HSRA
Hadoop spliced read aligner for RNA-seq data
HSRA is a MapReduce-based parallel tool for mapping reads from RNA sequencing (RNA-seq) experiments. RNA-seq analyses typically begin by mapping reads to a reference genome in order to determine the location from which the reads were originated, which is a very time-consuming step. This tool allows bioinformatics researchers to efficiently distribute their mapping tasks over the nodes of a cluster by combining a fast multithreaded spliced aligner (HISAT2) with Apache Hadoop, which is a distributed computing framework for scalable Big Data processing. ... -
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Incanter
Clojure-based, R-like statistical computing and graphics environment
Incanter is a Clojure-based, R-like statistical computing and visualization library running on the JVM. It integrates core numerical libraries like Parallel Colt and JFreeChart to deliver data manipulation, modeling, statistical tests, and charting in a REPL-friendly environment. Start by visiting the Incanter website for an overview, check out the documentation page for a listing of HOW-TOs and examples, and then download either an Incanter executable or a pre-built version of the latest build of Incanter, which includes all the necessary dependencies, and unpack the file (if you would like to build it from source, read Building Incanter). ... -
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A framework to run MATLAB programs as batch jobs. Features a structured input description, integrity constraints and GUI.Independent parts of a job can execute in parallel on a cluster computer. Developed at Freiburg Brain Imaging (FBI) - http://fbi.uniklinik-freiburg.de/
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UmUTracker
A MATLAB program for 2D particle tracking or 3D DHM based tracking.
We present a versatile and fast MATLAB program (UmUTracker) that automatically detects and tracks particles by analyzing long video sequences acquired by either light microscopy or digital holography microscopy (DHM). Our program finds the 2D particle center position using an isosceles triangle transform and the axial position by a fast implementation of Rayleigh-Sommerfeld numerical reconstruction algorithm using a one dimensional radial intensity profile. *Updates v1.1: 2017/11/21- Bug... -
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CUDA-MEME
Ultrafast scalable motif discovery algorithm using GPU computing
mCUDA-MEME is a well-established ultrafast scalable motif discovery algorithm based on MEME (version 4.4.0) algorithm for multiple GPUs using a hybrid combination of CUDA, MPI and OpenMP parallel programming models. This algorithm is a further extension of CUDA-MEME (based on MEME version 3.5.4) with respect to accuracy and speed and has been tested on a GPU cluster with eight compute nodes and two Fermi-based Tesla S2050 (and Tesla-based Tesla S1070) quad-GPU computing systems, running the Linux OS with the MPICH2 library. ... -
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Chapel
a Productive Parallel Programming Language
Chapel is an emerging parallel programming language whose design and development are being led by HPE in collaboration with academia, computing labs, and industry. Chapel's goal is to improve the productivity of parallel programmers, from laptops to supercomputers. **Please note that Chapel development has moved to GitHub** -
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Parallel MILC
Parallel decompression for the MILC algorithm
The MILC compression has been developed specifically for medical images and proven to be effective. This algorithm is a parallel version for the decompression phase, meant to exploit the parallel computing potential of the modern hardware. Developed with OpenCL framework (version 1.2), runs on CPU and GPU OpenCL devices. -
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QuickRNASeq
A pipeline for large scale RNA-seq data analysis
We have implemented QuickRNASeq, an open-source based pipeline for large scale RNA-seq data analysis. QuickRNASeq takes advantage of parallel computing resources, a careful selection of previously published algorithms for RNA-seq read mapping, counting and quality control, and a three-stage strategy to build a fully automated workflow. We also implemented built-in functionalities to detect sample swapping or mislabeling in large-scale RNA-seq studies. Our pipeline significantly lifts large-scale RNA-seq data analysis to the next level of automation and visualization. ... -
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PyCNN
Image Processing with Cellular Neural Networks in Python
Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high frame-rate (>10,000 frame/s) processing unachievable by digital processors. -
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Advanced Simulation Library
Free multiphysics simulation software package
...Its computational engine is based, among others, on the Lattice Boltzmann Methods (http://en.wikipedia.org/wiki/Lattice_Boltzmann_methods) and is written in OpenCL (http://en.wikipedia.org/wiki/OpenCL) which enable extraordinarily efficient deployment (http://asl.org.il/benchmarks) on a variety of massively parallel architectures, ranging from inexpensive FPGAs, DSPs and GPUs up to heterogeneous clusters and supercomputers. The engine is hidden entirely behind C++ classes, so that no OpenCL knowledge is required from application programmers. ASL can be utilized to model various coupled physical and chemical phenomena and employed in a multitude of fields: computational fluid dynamics, virtual sensing, industrial process data validation and reconciliation, image-guided surgery, computer-aided engineering, high-performance scientific computing, etc.. -
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4. Bagging Nadaraya Watson Estim. (HPC)
Shell/R program to perform Bagging of the Nadaraya Watson Estimator
Shell/R program which performs bagging of the Nadaraya Watson Kernel estimator by parallel computing -
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Parallel Quicksort with MPI
Parallel Quicksort with MPI
...It was invented by C.A.R Hoare in 1961and is using the divide-and-conquer strategy for solving problems [3]. Its partitioning aspects make QuickSort amenable to parallelization using task parallelism. MPI is a message passing interface library allowing parallel computing by sending codes to multiple processors, and can therefore be easily used on most multi-core computers available today. The main aim of this study is to implement the QuickSort algorithm using the Open MPI library and therefore compare the sequential with the parallel execution.