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- W2542843820 abstract "The NeuroBayes machine learning algorithm is deployed for online data reduction at the pixel detector of Belle II. In order to test, characterize and easily adapt its implementation on FPGAs, a framework was developed. Within the framework an HDL model, written in python using MyHDL, is used for fast exploration of possible configurations. Under usage of input data from physics simulations figures of merit like throughput, accuracy and resource demand of the implementation are evaluated in a fast and flexible way. Functional validation is supported by usage of unit tests and HDL simulation for chosen configurations." @default.
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- W2542843820 date "2016-01-22" @default.
- W2542843820 modified "2023-09-23" @default.
- W2542843820 title "A framework for porting the NeuroBayes machine learning algorithm to FPGAs" @default.
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- W2542843820 doi "https://doi.org/10.1088/1748-0221/11/01/c01058" @default.
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