Search Results for "parallel programming frameworkc++" - Page 3

Showing 163 open source projects for "parallel programming frameworkc++"

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  • 1
    Pipelines

    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.
    Downloads: 2 This Week
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  • 2
    Tensorpack

    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...
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  • 3
    Quasar

    Quasar

    Fibers, channels and actors for the JVM

    Quasar is a library that provides high-performance lightweight threads, Go-like channels, Erlang-like actors, and other asynchronous programming tools for Java and Kotlin. Quasar is developed by Parallel Universe and released as free software, dual-licensed under the Eclipse Public License and the GNU Lesser General Public License. Quasar fibers rely on bytecode instrumentation. This can be done at classloading time via a Java Agent, or at compilation time with an Ant task. Quasar’s lightweight...
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  • 4
    FastFlow: programming multi-core

    FastFlow: programming multi-core

    Pattern-based multi/many-core parallel programming framework

    FastFlow is a C/C++ programming framework supporting the development of pattern-based parallel programs on multi/many-core, GPUs and distributed platforms. FastFlow run-time is built upon non-blocking threads and lock-free queues. Thanks to its very efficient CAS-free communication/synchronization support (e.g. few clock cycles core-to-core latency), FastFlow effectively supports the exploitation of fine grain parallelism, e.g. parallel codes managing very high frequency streams on commodity...
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    Downloads: 9 This Week
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  • 5
    Downloads: 0 This Week
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  • 6
    Virtual Laboratory Environment

    Virtual Laboratory Environment

    A multi-modeling and simulation environment to study complex systems

    VLE is a multi-modeling and simulation environment to study complex dynamic systems. VLE is based on the discrete event specification DEVS. and it implements the DSDE formalism (A merge of Dynamic Structure DEVS, DSDEVS, with Parallel DEVS, PDEVS). VLE provides a complete set of C++ libraries, called VFL (VLE Foundation Libraries), to develop DEVS models, to gets results of simulations, to launch simulation on cluster. The models can be developed with the DEVS formalism or with the classical...
    Downloads: 41 This Week
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  • 7

    MarDRe

    MapReduce-based tool to remove duplicate DNA reads

    MarDRe is a de novo MapReduce-based parallel tool to remove duplicate and near-duplicate DNA reads through the clustering of single-end and paired-end sequences from FASTQ/FASTA datasets. This tool allows bioinformatics to avoid the analysis of not necessary reads, reducing the time of subsequent procedures with the dataset. MarDRe is the Big Data counterpart of ParDRe (link above), which employs HPC technologies (i.e., hybrid MPI/multithreading) to reduce runtime on multicore systems...
    Downloads: 0 This Week
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  • 8

    Avian Parallel Computing

    Develop parallel programs. Try various thread configs. GUI front-end.

    ...) that simplifies parallel programming by providing a GUI frontend to setup, start, and monitor each bird (thread) in the program. ConcX allows you to start or stop one bird (thread) or the whole flock. The birds in the flock are loosely coupled & cooperate to accomplish your goal. ConcX offers many built-in info resources, such as by-thread logging, real-time display of individual thread activity, post mortem diagnostic information, saving of flock setups, parallel database access and more.
    Downloads: 0 This Week
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  • 9
    Extended Memory Semantics (EMS)

    Extended Memory Semantics (EMS)

    Persistent shared object memory and parallelism for Node.js and Python

    EMS makes possible persistent shared memory parallelism between Node.js, Python, and C/C++. Extended Memory Semantics (EMS) unifies synchronization and storage primitives to address several challenges of parallel programming. A modern multi-core server has 16-32 cores and nearly 1TB of memory, equivalent to an entire rack of systems from a few years ago. As a consequence, jobs formerly requiring a Map-Reduce cluster can now be performed entirely in shared memory on a single server without using...
    Downloads: 0 This Week
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  • 10

    popt4jlib

    Parallel Optimization Library for Java

    popt4jlib is an open-source parallel optimization library for the Java programming language supporting both shared memory and distributed message passing models. Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known...
    Downloads: 1 This Week
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  • 11
    xc3sprog is a suite of utilities for programming Xilinx FPGAs, CPLDs, and EEPROMs with the Xilinx Parallel Cable and other JTAG adapters under linux. Originally based on code written by Andrew Rogers (http://www.rogerstech.co.uk/ ).
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    Downloads: 2 This Week
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  • 12
    OpenHCPP

    OpenHCPP

    A Directive-Based Heterogeneous Parallel Programming Framework

    OpenHCPP is a high-level directive-based parallel programming framework.
    Downloads: 0 This Week
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  • 13
    ParaFEM

    ParaFEM

    Parallel finite element analysis

    ParaFEM is an open source platform for parallel finite element analysis. The source code and philosophy are documented in the text book Smith, Griffiths and Margetts, "Programming the Finite Element Method", 5th Edition, Wiley, 2014. The software is written in modern Fortran and uses MPI for message passing.
    Downloads: 0 This Week
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  • 14
    FreeMat
    Freemat is an interpreted, matrix-oriented development environment for engineering and scientific applications, similar to the commercial package MATLAB. Freemat provides visualization, image manipulation, and plotting as well as parallel programming.
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    Downloads: 185 This Week
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  • 15

    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...
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  • 16
    Chapel

    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**
    Downloads: 0 This Week
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  • 17

    Xn

    A parallel, nodal language protocol

    Xn project tries to develop a three-in-one 'language'. Xn is capable of almost all kinds of data storage, communication, even executable scripts. Applicable cases are therefore very general. Take a larger imaginable one as example, an AI-network (even alive) can't be far away. But all the important thing is that Xn is itself simple. Most usecases, not so ambitious, various average programming tasks or tools can use Xn to shorten their development time. 蘄天元計劃(Xn project, 取此中文名另含圍棋天元佈局+未知...
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  • 18
    ProgramNet Designer

    ProgramNet Designer

    C++ cross plattform functional block programming

    With the help of the ProgramNet the user can develop plug-ins(called units) which can be connected with other units forming a net. The net has a form of a flow diagram. The resulted net can be executed in the ProgramNet for testing purposes or independently in the target platform as a final release. In order to execute a net the ProgramNet uses the kernel. The kernel executes automatically each unit in a separate thread and manages the data exchange between the units.
    Downloads: 1 This Week
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  • 19
    GMaVis: A DSL for Geo-Visualization

    GMaVis: A DSL for Geo-Visualization

    It is a domain-specific language for large data geo-visualizations

    GMaVis is an external domain-specific language (DSL) that facilitates the creation of visualization of geospatial information by using multi-core architectures to process data in parallel. Its compiler abstracts complexities from the whole visualization creation process, even in the data pre-processing phase. Also, it allows domain users with low-level knowledge in computer programming to create these visualizations through a high-level description language. These users can easily do...
    Downloads: 0 This Week
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  • 20
    Genetic Programming Classifier is a distributed evolutionary data classification program. It uses the ensemble method implemented under a parallel co-evolutionary Genetic Programming technique.
    Downloads: 0 This Week
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  • 21
    Bat2015

    Bat2015

    Bachelor of Science (Informatik)

    The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores...
    Downloads: 0 This Week
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  • 22
    JPOP is a pure java parallel optimization package based on the Optimization Java Package. It supports analytical gradients and Hessians for non-linear optimization. JPOP is based on uncmin in Fortran but employs java arrays and object oriented code.
    Downloads: 1 This Week
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  • 23

    HpcTemplateLib

    HPC Template Library to supplement the STL

    This package is intended to provide the user with threadsafe containers and classes for applications in High Performance Computing (HPC) where parallel programming is commonplace. Today’s multi-core computers bring that parallelism into the realm of everyday use. It is important to provide thread safe containers and classes in this environment. The HPC Template Library (HTL) aims to replace certain portions of the STL. It is a merger and rewrite of classes from the STL, QT, Boost...
    Downloads: 0 This Week
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  • 24
    AVR HV Programmer

    AVR HV Programmer

    High voltage parallel programmer for AVR microcontrollers.

    AVR-HV is high voltage parallel programmer for Atmel AVR series microcontrollers. AVR-HV allows programming, reading, verifying and configuring AVR microcontrollers with its high voltage programming interface and it connected with PC using USB interface.
    Downloads: 2 This Week
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  • 25

    neuranep

    Neural Network Engineering Platform

    A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating...
    Downloads: 0 This Week
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