Showing 3 open source projects for "gpu max performance"

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    Megatron-LM

    Megatron-LM

    Ongoing research training transformer models at scale

    Megatron-LM is a GPU-optimized deep learning framework from NVIDIA designed to train extremely large transformer-based language models efficiently at scale. The repository provides both a reference training implementation and Megatron Core, a composable library of high-performance building blocks for custom large-model pipelines. It supports advanced parallelism strategies including tensor, pipeline, data, expert, and context parallelism, enabling training across massive multi-GPU and multi-node clusters. ...
    Downloads: 0 This Week
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  • 2

    OpenShader

    Open architecture GPU simulator and implementation

    Documentation, simulator, compiler, and Verilog implementation of a completely open-architecture graphics processing unit. This design is intended for academic and commercial purposes. The first step is to develop a detailed GPU simulator and compiler. The second step is to implement the GPU in synthesizable Verilog. The third step is to develop a feedback loop between the simulator and implementation, allowing power, performance, and reliability aspects of the hardware to feed back into ever more detailed and accurate simulations of a complete GPU. ...
    Downloads: 0 This Week
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  • 3
    wxArithmetic

    wxArithmetic

    Simple arithmetic game

    **Beta version binaries are up:** *Windows:* Just unpack the archive and run the exe. *Linux:* Download and run the binary. If it doesn't run, execute "chmod +x wxArithmetic_32bit_linuxTestBinary" and run again. Trouble getting your mind up to speed in the morning? Does every morning at the office seem like monday morning? Calculate 100 arithmetic operations in the morning to warm up for the day. wxArithmetic is a simple arithmetic practice game. It generates random operations...
    Downloads: 0 This Week
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