Showing 3 open source projects for "parallel"

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  • PeerGFS PEER Software - File Sharing and Collaboration Icon
    PeerGFS PEER Software - File Sharing and Collaboration

    One Solution to Simplify File Management and Orchestration Across Edge, Data Center, and Cloud Storage

    PeerGFS is a software-only solution developed to solve file management/file replication challenges in multi-site, multi-platform, and hybrid multi-cloud environments.
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  • Monitor production, track downtime and improve OEE. Icon
    Monitor production, track downtime and improve OEE.

    For manufacturing companies interested in OEE monitoring solutions

    Evocon is a visual and user-friendly OEE software that helps manufacturing companies improve productivity and remove waste as they become better.
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  • 1
    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
    Last Update:
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  • 2
    go-streams

    go-streams

    A lightweight stream processing library for Go

    ...In computing, a pipeline, also known as a data pipeline, is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion. Some amount of buffer storage is often inserted between elements.
    Downloads: 3 This Week
    Last Update:
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  • 3
    protoactor-go

    protoactor-go

    Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin

    ...The Actor Model provides a higher level of abstraction for writing concurrent and distributed systems. It alleviates the developer from having to deal with explicit locking and thread management, making it easier to write correct concurrent and parallel systems. Grain abstraction, which provides a straightforward approach to building distributed interactive applications, without the need to learn complex programming patterns for handling concurrency, fault tolerance, and resource management. This allows Proto.Actor to leverage in-process performance for realtime stream processing.
    Downloads: 3 This Week
    Last Update:
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