Showing 7 open source projects for "per linux"

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  • 1
    Proximus for Ryzen AI

    Proximus for Ryzen AI

    Runtime extension of Proximus enabling Deployment on AMD Ryzen™ AI

    This project extends the Proximus development environment to support deployment of AI workloads on next-generation AMD Ryzen™ AI processors, such as the Ryzen™ AI 7 PRO 7840U featured in the Lenovo ThinkPad T14s Gen 4 ,one of the first true AI PCs with an onboard Neural Processing Unit (NPU) capable of 16 TOPS (trillion operations per second). Originally designed for use with Windows 11 Pro, this runtime was further enhanced to work under Linux environments, allowing developers and researchers to fully utilize the AMD AI Engine across both platforms. This cross-platform support is a major innovation, enabling AI workload portability, integration into CI environments, and deployment into Linux-based research and production pipelines.
    Downloads: 0 This Week
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  • 2
    OpenFrames

    OpenFrames

    Real-time interactive 3D graphics API for scientific simulations

    OpenFrames has moved its primary development repository to GitHub! Everything else will follow. Get it at https://github.com/ravidavi/OpenFrames/wiki OpenFrames is an Application Programming Interface (API) that allows developers to provides the ability to add interactive 3D graphics to any scientific simulation. A simulation developer can use OpenFrames to specify what they want to visualize, without having to know any details of computer graphics programming. OpenFrames is currently...
    Downloads: 0 This Week
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  • 3
    progrep

    progrep

    Utility to show live progress, status & stats for running simulations

    progrep is a command-line tool (Linux) to show live progress report, status & stats of a running simulation or compute job that executes a given number of iterations. It shows % completed, time remaining, time elapsed, number of threads, MPI_Rank(if any), CPU usage & speed (FPS). The FPS measures may be used in benchmarking, e.g. while optimizing HPC algorithms for performance. progrep supports both single-threaded and parallel (multicore/multinode - e.g. OpenMP/MPI) jobs. progrep can...
    Downloads: 0 This Week
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  • 4

    OpenRTDynamics

    A framework for implementing real-time control systems

    - - - T H I S P R O J E C T M O V E D T O G I T H U B - - - A framework for the implementation of advanced real-time control systems which uses signal/block-based schematics (like Simulink) extended by several features like state machines and online-exchangeable sub-simulations. Besides, this framework properly handles multiple threads, their communication, allows to synchronise control systems to external events (e.g. variable timers or incoming network packages) and provides...
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  • 5
    NOTE: This project was moved to: https://github.com/eetorres The BPANNA is a flexible Back propagation neural network, which include the Conjugate Gradient and the Levenberg-Marquardt. You can change the number of inputs, number of layers, number of neurons per layer and outputs. It included an structure editor.
    Downloads: 0 This Week
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  • 6

    NoCTweak

    a Parameterizable Simulator for Early Exploration of Networks On-Chip

    A networks-on-chip (NoC) simulator allows designers to early estimate performance (latency and throughput), energy efficiency (average/peak power, average energy per packet) and area of several networks on-chip configurations at different CMOS nodes. This tool is a cycle-accurate simulator and is open-source using SystemC, a C++ plugin, which is used to quickly model complex systems at a higher level but less details than RTL. NoCTweak was developed by Dr. Anh Tran and Dr. Bevan Baas at UC...
    Downloads: 0 This Week
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  • 7
    Omnet++ EPON Module

    Omnet++ EPON Module

    1G-EPON modules for OMNet++

    This is a basic implementation of (1G) Ethernet Passive Optical Network (EPON) for OMNet++ 4.1. OLT and ONU modules are provided. MPCP protocol has been implemented to assign LLIDs dynamically based on a global service configuration module. Service differentiation is based on 802.1Q VLANs (included). Basic implementation for both polling and non-polling DBAs is included (fixed allocation per ONU in both cases). An example .ned for each case can be found under "PON/simulations" folder.
    Downloads: 3 This Week
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