FPGA-Based QBoost with Large-Scale Annealing Processor and Accelerated Hyperparameter Search

2018 International Conference on ReConFigurable Computing and FPGAs (ReConFig), pp. 1-8, 2018.

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Abstract:

QBoost is a recently proposed machine learning algorithm, designed to exploit the benefits of emerging annealing processors which solve NP hard problems in combinatorial optimization a hundred times faster than conventional CPUs. In this paper, we present the first FPGA-based implementation of QBoost, incorporating a large-scale annealing...More

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