Name
Title | ||
|---|---|---|
An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis |
Abstract | ||
|---|---|---|
In this paper, we propose EasyBO, an Efficient ASYn-chronous Batch Bayesian Optimization approach for analog circuit synthesis. In this proposed approach, instead of waiting for the slowest simulations in the batch to finish, we accelerate the optimization procedure by asynchronously issuing the next query points whenever there is an idle worker. We introduce a new acquisition function which can better explore the design space for asynchronous batch Bayesian optimization. A new strategy is proposed to better balance the exploration and exploitation and guarantee the diversity of the query points. And a penalization scheme is proposed to further avoid redundant queries during the asynchronous batch optimization. The efficiency of optimization can thus be further improved. Compared with the state-of-the-art batch Bayesian optimization algorithm, EasyBO achieves up to 7.35× speed-up without sacrificing the optimization results. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/DAC18072.2020.9218592 | 2020 57th ACM/IEEE Design Automation Conference (DAC) |
DocType | ISSN | ISBN |
Conference | 0738-100X | 978-1-7281-1085-1 |
Citations | PageRank | References |
2 | 0.39 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuhan Zhang | 1 | 10 | 6.28 |
| Fan Yang | 2 | 101 | 22.74 |
| Dian Zhou | 3 | 260 | 56.14 |
| Xuan Zeng | 4 | 408 | 75.96 |