Showing 4 open source projects for "gpu max performance"

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  • 1
    Flash-MoE

    Flash-MoE

    Running a big model on a small laptop

    ...It likely includes support for GPU acceleration and parallel processing, enabling it to handle large-scale workloads effectively. The architecture emphasizes speed and efficiency, making it suitable for both research and production environments where performance is critical. It may also provide tools for benchmarking and tuning model behavior. Overall, flash-moe represents a technical advancement in making MoE models more practical and deployable.
    Downloads: 1 This Week
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  • 2
    ANE Training

    ANE Training

    Training neural networks on Apple Neural Engine via APIs

    ...The repository implements a from-scratch transformer training pipeline capable of running both forward and backward passes on ANE hardware without relying on CoreML, Metal, or GPU acceleration. It explores the internal software stack of the Apple Neural Engine by interfacing with private classes such as _ANEClient and compiling custom compute graphs in the MIL format. The project includes performance benchmarks and kernel breakdowns that show how different components of the training loop are distributed between the ANE and CPU. ...
    Downloads: 2 This Week
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  • 3
    MetalPetal

    MetalPetal

    A GPU accelerated image and video processing framework built on Metal

    MetalPetal is an image processing framework based on Metal designed to provide real-time processing for still images and video with easy-to-use programming interfaces. This chapter covers the key concepts of MetalPetal, and will help you to get a better understanding of its design, implementation, performance implications, and best practices. A MTIImage object is a representation of an image to be processed or produced. It does directly represent image bitmap data instead it has all the...
    Downloads: 0 This Week
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  • 4
    Mi A1: LuciferKernel

    Mi A1: LuciferKernel

    Linux 4.9 Kernel for Xiaomi Mi A1 aka Tissot

    Join official telegram group: https://t.me/luciferkernel Kernel stage Changed to Beta. Features: →Added F2FS Rapid Gc. → CPU OC to 3.1Mhz (OC Build Only) → GPU OC to 850Mhz (OC Build Only) → Reduced GPU idle time to 64ms → Added DTS-Eagle. → CPU undervolted upto 10% → Improved thermals. → Added Sound tweaks. → Added Boeffla Wakelocker → Added State Notifier → Added Adreno Idler → Added Adreno Boost → Added dynamic SchedTune boost. → Added Klapse → Added KCAL → Added BFQ I/O scheduler →Upstreamed to 4.9.232 →Added gcam7+ support (experimental) thanks to @mtpiplod →Fixed certain errors →Built with Proton Clang 12 For Non-OC except Overclocked CPU , GPU and some performance schedulers everything is same
    Downloads: 32 This Week
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