Showing 12 open source projects for "parallel language"

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  • 1
    The Julia Programming Language

    The Julia Programming Language

    High-level, high-performance dynamic language for technical computing

    Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers of every level and background. Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose computing. ...
    Downloads: 2 This Week
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  • 2
    Numaflow

    Numaflow

    Kubernetes-native platform to run massively parallel data/streaming

    Numaflow is a Kubernetes-native tool for running massively parallel stream processing. A Numaflow Pipeline is implemented as a Kubernetes custom resource and consists of one or more source, data processing, and sink vertices. Numaflow installs in a few minutes and is easier and cheaper to use for simple data processing applications than a full-featured stream processing platform.
    Downloads: 3 This Week
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  • 3
    text-dedup

    text-dedup

    All-in-one text de-duplication

    ...This is especially useful for NLP tasks where duplicated training data can skew model performance. text-dedup scales to billions of documents and offers tools for chunking, hashing, and comparing text efficiently with low memory usage. It supports Jaccard similarity thresholding, parallel execution, and flexible deduplication strategies, making it ideal for cleaning web-scraped data, language model training datasets, or document archives.
    Downloads: 0 This Week
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  • 4
    Transducers.jl

    Transducers.jl

    Efficient transducers for Julia

    Transducers are transformations of "sequence" of input that can be composed very efficiently. The interface used by transducers naturally describes a wide range of processes that is expressible as a succession of steps. Furthermore, transducers can be defined without specifying the details of the input and output (collections, streams, channels, etc.) and therefore achieves a full reusability. Transducers are introduced by Rich Hickey, the creator of the Clojure language. His Strange Loop...
    Downloads: 0 This Week
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  • 5
    Cubature.jl

    Cubature.jl

    One- and multi-dimensional adaptive integration routines for Julia

    This module provides one- and multi-dimensional adaptive integration routines for the Julia language, including support for vector-valued integrands and facilitation of parallel evaluation of integrands, based on the Cubature Package by Steven G. Johnson. Adaptive integration works by evaluating the integrand at more and more points until the integrand converges to a specified tolerance (with the error estimated by comparing integral estimates with different numbers of points). ...
    Downloads: 0 This Week
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  • 6
    SPar: Stream Parallelism in Multi-Cores

    SPar: Stream Parallelism in Multi-Cores

    An Embedded C++ Domain-Specific Language

    SPar is an internal C++ Domain-Specific Language (DSL) suitable to model and implement classical stream parallel patterns. The DSL uses standard C++ attributes to introduce annotations tagging the notable components of stream parallel applications: stream sources and stream processing stages. Latest version can be downloaded from the SVN using the following command: svn checkout svn://svn.code.sf.net/p/spar-dsl-compiler/svn/ spar
    Downloads: 0 This Week
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  • 7

    PRADA

    PRADA : Pipeline for RNA-Sequencing Data Analysis

    Massively parallel sequencing of cDNA reverse transcribed from RNA (RNASeq) provides an accurate estimate of the quantity and composition of mRNAs. To characterize the transcriptome through the analysis of RNA-seq data, we developed PRADA. PRADA focuses on the processing and analysis of gene expression estimates, supervised and unsupervised gene fusion identification, and supervised intragenic deletion identification. PRADA currently supports 7 modules to process and identify...
    Downloads: 0 This Week
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  • 8
    Toolsverse ETL Framework

    Toolsverse ETL Framework

    Open source Extract Transform Load engine written in Java

    ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements *...
    Downloads: 0 This Week
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  • 9

    Workflow Execution Engine

    High performance workflow with strong support for parallel tasks

    The Workflow Execution Engine (WEE) is a domain specific language created by the University of Vienna in Austria. The primary goals of the language are to provide a simple, lightweight, and powerful alternative to existing workflow specifications. This project contains an implementation of this language using the Erlang programming language. Please see the project Wiki for more detailed information.
    Downloads: 0 This Week
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  • 10
    A scripting language and reference implementation to allow command line tools to be chained into complex parallel workflows.
    Downloads: 0 This Week
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  • 11
    cca-forum
    Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
    Downloads: 53 This Week
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  • 12
    Sanchay
    Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
    Downloads: 4 This Week
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