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6. Bayesian Optimization Approach for RF Circuit Synthesis via Multitask Neural Network Enhanced Gaussian Process.

Author

Huang, Jiangli, Tao, Cong, Yang, Fan, Yan, Changhao, Zhou, Dian, and Zeng, Xuan

Subjects
*GAUSSIAN processes, *ANALOG circuits, *COMPUTER multitasking, *KERNEL functions, *INTEGRATED circuits, *TASK analysis
Abstract

An RF integrated circuit design heavily relies upon experienced experts to iteratively tune the circuit parameters. A Bayesian optimization (BO) method is explored in existing works for automated analog and RF circuit synthesis. The overall performance can be further improved by constructing a model to exploit the correlation among different circuit specifications. In this article, we propose a BO approach for RF circuit synthesis via a multitask neural network enhanced Gaussian process (MTNN-GP). We present a novel multioutput GP model, in which the kernel functions of multiple outputs are constructed from a multitask neural network with shared hidden layers and task-specific layers. Therefore, the correlation between the outputs can be captured by the shared hidden layers. Our proposed MTNN-GP-based BO method is compared with several state-of-the-art BO methods on three real word RF circuits and achieves best performance. The experimental results demonstrate the effectiveness and efficiency of our proposed method. [ABSTRACT FROM AUTHOR]

Published
2022
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12. Architecture for Component Library Retrieval on the Cloud

Author

Tao Cong, Fang Yiqiu, and Ge Junwei

Subjects
Common Component Architecture, Database, business.industry, Computer science, Cloud computing, Software maintenance, Reuse, computer.software_genre, Software, Component (UML), Scalability, business, Software architecture, computer, Cloud storage
Abstract

The Component Library(CL)is the key to realize software reuse, the CL available on the network is decentralized, independent, not easy to access at present and existing component libraries face infrastructure supply and maintenance challenges. The authors use cloud computing model, which contribute to resolve the issues of visiting different component libraries and the scalability of component library resources. In this paper, we discuss the plan that placed the CL in the cloud infrastructure and put forward a hierarchical organizational model of component resources based on cloud storage to achieve component integration services. We also explore the component library retrieval framework in the cloud and verify the cloud model applied to component library retrieval based on the Hadoop platform can improve the system performance and achieve the scalability of the computing power.

Published
2011

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