High-performance DoD applications like sensor arrays must continue to push the state-of-the-art (SOTA) size, weight, and power (SWaP) while advancing system performance processing of the individual sensors. A scalable Vector Processor (VP) based compute platform can be created to deliver ASIC-like performance/power while incorporating FPGA-like flexibility and latency. This paper presents a study of key processors and assesses the strengths and challenges where a vector-engine based platform can deliver capabilities beyond the traditional methods that leverage FPGAs, while adding in AI acceleration and consideration of multiple sensors, sensor fusion, and strategic applications.


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    Title :

    Scalable Compute Platform for Sensor Processing


    Contributors:
    Land, Ian (author) / Parker, Michael (author)


    Publication date :

    2024-07-15


    Size :

    1821958 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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