VLSI Hardware Architecture for Gaussian Process

2020 54th Asilomar Conference on Signals, Systems, and Computers(2020)

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摘要
Gaussian process (GP) is a popular machine learning technique that is widely used in many application domains, especially in robotics. However, GP is very computation intensive and time consuming during the inference phase, thereby bringing severe challenges for its large-scale deployment in real-time applications. In this paper, we propose two efficient hardware architecture for GP accelerator. O...
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关键词
Computers,Computer architecture,Gaussian processes,Machine learning,Very large scale integration,Hardware,Real-time systems
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