Open Source C# Symmetric Multiprocessing (SMP) Software

C# Symmetric Multiprocessing (SMP) Software

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Browse free open source C# Symmetric Multiprocessing (SMP) Software and projects below. Use the toggles on the left to filter open source C# Symmetric Multiprocessing (SMP) Software by OS, license, language, programming language, and project status.

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  • 1
    Brahma is an open-source library written for the .NET 3.5 framework (in C# 3.0), to provide high-level access to parallel streaming computations on a variety of processors, including GPUs.
    Downloads: 0 This Week
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  • 2
    This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.
    Downloads: 0 This Week
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  • 3
    Hangfire

    Hangfire

    An easy way to perform background job processing

    An easy way to perform background processing in .NET and .NET Core applications. No Windows Service or separate process required. Backed by persistent storage. Open and free for commercial use. Easy to set up, easy to use. No Windows Service, no Windows Scheduler, no separate applications required. Background jobs are regular static or instance .NET methods with regular arguments, no base class or interface implementation required. Once a background job was created without any exception, Hangfire takes the responsibility to process it with the at least once semantics. Although the default installation uses SQL Server and polling technique to fetch jobs, you can leverage MSMQ or Redis extensions to reduce the processing latency to minimum. Background method calls and their arguments are serialized and may overcome the process boundaries. Job filters allow you to add custom features to the background processing in a way similar to ASP.NET MVC action filters.
    Downloads: 0 This Week
    Last Update:
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  • 4

    Rozkład temperatury w pomieszczeniach

    Symulacja procesów cieplnych zachodzących w pomieszczeniach

    Program tworzony w ramach przedmiotu "Projekt Grupowy" na Politechnice Gdańskiej. Skład: inż. Adam Banaś inż. Maciej Gajdzica inż. Adam Lasota inż. Damian Pawlus inż. Włodzimierz Kaoka Opiekun projektu: mgr inż. Piotr Fiertek Celem projektu jest stworzenie środowiska symulacyjnego dla procesów termicznych zachodzących w pomieszczeniach. Integralną jego częścią jest implementacja algorytmów obliczeniowych na procesorach graficznych GPU przy użyciu standardów CUDA oraz OpenCL. Innymi ważnymi elementami są graficzna wizualizacja wyników z wykorzystaniem biblioteki graficznej OpenGL oraz stworzenie interfejsu użytkownika umożliwiającego zmianę parametrów symulacji.
    Downloads: 0 This Week
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  • 5
    SirVer
    SirVer is an C# Web Server with a script language supported by the Framework .Net and Mono
    Downloads: 0 This Week
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