Search Results for "parallel programming frameworkc++" - Page 2
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Showing 140 open source projects for "parallel programming frameworkc++"
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Proximus NUMA
Proximus is an Electronic System Level (ESL) design environment.
Proximus-FOSS stands as an innovative platform that fosters the convergence of hardware design and software programming, enabling concurrent development across both disciplines. Its collaborative environment empowers developers to concurrently address hardware and software aspects of a project. The Proximus Open Source version boasts robust support for multi-threaded programming with a C++ implementation. This capability allows developers to harness the full potential of C++ for crafting... -
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CAMPARI
Software for molecular simulations and trajectory analysis
We are proud to introduce version 5 of CAMPARI. We have added a number of new features, most notably a Python interface for interpreting user-supplied code (with the help of ForPy), a novel trajectory storage standard (with the help of libpqxx/PostgreSQL), and a module for performing transition path theory. Naturally, CAMPARI continues to provide the reference implementation of the ABSINTH force field paradigm and implicit solvation model. CAMPARI is a joint package for performing and... -
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GASNet is a language-independent, networking middleware layer that provides network-independent, high-performance communication primitives including Remote Memory Access (RMA) and Active Messages (AM). It has been used to implement parallel programming models and libraries such as UPC, UPC++, Co-Array Fortran, Legion, Chapel, and many others.
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FortranBSD
FortranBSD is DragonflyBSD-based OS with built-in GNU Fortran
I'm excited to introduce the first release of FortranBSD, a new operating system designed specifically for Fortran developers who demand high-performance and seamless multithreading support. FortranBSD is based on DragonflyBSD which is an outstanding OS for HPC application and: 🔹 Superior parallel computing capabilities beat Linux/MS Windows over the performance. 🔹 Optimized for Fortran programming 🔹 Built on a robust, efficient foundation 🔹 Ideal for scientific computing, simulations... -
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Alain is a symbolic, homoiconic programming language that employs parallel SLD resolution and pattern matching (unification). Data is represented using CONS lists of Unicode characters, while input and output operations make use of the file API. Please see FAQ.gmi and LICENSE.TXT in the source code bundle for more details.
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eCxx
A C++ library for AVR and NodeMCU
NOTE: This project is marked with 'Status: Abandoned' on SourceForge because not enough time can be dedicated to this project. However it may still get sporadic commits to the repository. eCxx is a library for AVR and NodeMCU tailored for micro LED displays and lighting effects. eCxx is utilizing Makefile build system. Java and Python based applications/tools are also included to ease the development and debugging process using the host PC. On one side, eCxx supports the original... -
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BMDFM
Binary Modular DataFlow Machine (BMDFM)
Binary Modular DataFlow Machine (BMDFM) is a software package that enables running an application in parallel on shared memory symmetric multiprocessing (SMP) computers using the multiple processors to speed up the execution of single applications. BMDFM automatically identifies and exploits parallelism due to the static and mainly dynamic scheduling of the dataflow instruction sequences derived from the formerly sequential program. The BMDFM dynamic scheduling subsystem performs a symmetric... -
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Classdesc is a system for adding reflection to C++, ie the ability to query an object's structure at runtime.
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o'scopepy
Oscilloscope using PC sound card and Python 3
Version 6 uses a programming paradigm based on workcells which communicate with each other using text based signals. This creates a parallel programming environment with autonomous virtual machines communicating over a peer to peer network. The workcells are instantiated anonymously, therefore all methods and variables are completely private. Tkinter is used for both GUIs and for creating a second event loop used for synchronizing workcell to workcell communication. Three classes, Hub... -
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webotron
Using industrial automation techniques for creating web scraping tools
Industry uses machines that can easily maim or kill their operators and is also used in very adverse environments. In spite of this, production quality must be close to perfect without reliance on operator skill or attentiveness. Control programs must be robust, yet simple enough to be understood and maintained by non programmer skilled trades like electricians . The main programming model is the PLC which implements double buffering and an event loop. The most advanced production model... -
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
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The Practice of Parallel Programming
A book on parallel programming and a C++ library
An online edition of the book "The Practice of Parallel Programming" and examples from it. The examples include a parallel programming framework of production quality, that has been used in another project, Triceps. -
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ROBOOP
Object oriented library in C++ for robotics simulation
This library (ROBOOP) is a C++ robotics object oriented programming toolbox suitable for synthesis, and simulation of robotic manipulator models in an environment that provides ``MATLAB like'' features for the treatment of matrices. Its is a portable tool that does not require the use of commercial software. A class named Robot provides the implementation of the kinematics, the dynamics and the linearized dynamics of serial robotic manipulators. A class named Stewart provides the implementation... -
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YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
... 20.04. We also provide branches that work under ROS Melodic, ROS Foxy and ROS2. 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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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 approaches... -
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PyBitBanger
Python controlled hardware.
With the demise of the parallel port, a simple way for a Python script to control external hardware has disappeared. The goal of this project is to use relatively simple hardware like an Arduino Nano and the Microchip MCP23S17 port expander as an extensible bit banger. Ideally, all hardware should be leaded and breadboard friendly for easy project prototyping. The ELEGOO Nano is used as an USB RS232 to SPI controller to control the port expander. This fits nicely on a breadboard and has... -
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gluon
A static, type inferred and embeddable language written in Rust
Gluon is a static, type inferred and embeddable language written in Rust. Gluon is a small, statically-typed, functional programming language designed for application embedding. Static typing makes it easier to write safe and efficient interfaces between gluon and the host application. Type inference ensures that types rarely have to be written explicitly giving all the benefits of static types with none of the typing. Marshalling values to and from gluon requires next to no boilerplate... -
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HamsterLab
education, children, course, C programming language, maze, 2d graphic
This project is meant to particularly support children in learning the C programming language by developing different kinds of hamster-based games in a 2D graphics environment. It is designed to be used for teaching classes and contains a possible lesson plan (currently only in German). Special thanks to Oliver Saalfeld for drawing the texture graphics. Please note that the software is not finished, yet, since it is developed right now in parallel to my current course. Also a user... -
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Accelerate
Embedded language for high-performance array computations
... architectures including multicore CPUs and GPUs. Embedded in the advanced functional programming language Haskell, Accelerate programs are declarative, statically-typed, pure, functional, and ready to exploit all of the performance of modern parallel hardware. The combination of a strong type system, high-level code, and interactive development environment, allows you to develop code quickly with the confidence that it is correct. -
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The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.
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Gap-SPH
Basic SPH solver for 3D subsonic fluid flow models
This solver programmed in C applies the Smoothed Particle Hydrodynamics method to subsonic incompressible 3d fluid flow. Viscosity is updated every half-time step to account for nonlinear behavior of one of the phases and all solid boundaries are modeled using the virtual particle method. A basic all-pair search algorithm is used to determine pair lists. The purpose of this self-contained solver is to further develop the code to optimize it to the case of river bedload dynamics. Parallel... -
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DSPatch
The Refreshingly Simple C++ Dataflow Framework
Webite: http://flowbasedprogramming.com DSPatch, pronounced "dispatch", is a powerful C++ dataflow framework. DSPatch is not limited to any particular domain or data type, from reactive programming to stream processing, DSPatch's generic, object-oriented API allows you to create virtually any dataflow system imaginable. *See also:* DSPatcher ( https://github.com/MarcusTomlinson/DSPatcher ): A cross-platform graphical tool for building DSPatch circuits. DSPatchables ( https... -
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coarrays
A free Fortran 2008, 2018 coarrays course with notes and exercises
Coarrays are native Fortran means for SPMD parallel programming. At runtime multiple copies of the executable (called images) are executing asynchronously. The F2008 standard provides coarray syntax, remote calls, coarray data objects, allocatable coarrays, syncronisation, atomics, etc. F2018 adds new functionality, e.g. collectives, teams, events, more atomics. Coarrays are used extensively in CASUP library for HPC (https://cgpack.sourceforge.io). The course is aimed at experienced... -
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Pipelines
An experimental programming language for data flow
Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing. -
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Tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed
Tensorpack is a neural network training interface based on TensorFlow v1. Uses TensorFlow in the efficient way with no extra overhead. On common CNNs, it runs training 1.2~5x faster than the equivalent Keras code. Your training can probably gets faster if written with Tensorpack. Scalable data-parallel multi-GPU / distributed training strategy is off-the-shelf to use. Squeeze the best data loading performance of Python with tensorpack.dataflow. Symbolic programming (e.g. tf.data) does not offer...
