Showing 3 open source projects for "high performance computing"

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  • 1
    SwiftShader

    SwiftShader

    SwiftShader is a high-performance CPU-based implementation

    SwiftShader is Google’s high-performance CPU-based implementation of the Vulkan 1.3 graphics API, designed to provide a hardware-independent rendering solution for 3D graphics. Unlike traditional GPU drivers, SwiftShader executes graphics commands entirely on the CPU, making it ideal for environments where dedicated graphics hardware is unavailable or unsuitable.
    Downloads: 147 This Week
    Last Update:
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  • 2
    imagor

    imagor

    Fast, secure image processing server and Go library, using libvips

    ...It supports a wide variety of image formats and integrates seamlessly with cloud storage backends like AWS S3 and Google Cloud Storage. With support for HTTP and gRPC APIs, Imagor can be used in production environments to serve optimized images dynamically with high performance and low latency.
    Downloads: 2 This Week
    Last Update:
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  • 3
    bild

    bild

    Image processing algorithms in pure Go

    A collection of parallel image processing algorithms in pure Go. The aim of this project is simplicity in use and development over absolute high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It uses packages from the standard library whenever possible to reduce dependency use and development abstractions. All operations return image types from the standard library. Package convolution provides the functionality to create and apply a kernel to an image. ...
    Downloads: 2 This Week
    Last Update:
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