{"ID":2891312,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.19541","arxiv_id":"2507.19541","title":"A Global-Local Optimization Approach for Asynchronous SAR ADC Design","abstract":"This paper presents a system-level optimization framework for automated asynchronous SAR ADC design, addressing the limitations of block-level methods in terms of suboptimal performance and manual effort. The proposed approach integrates a fast global optimizer with a multi-fidelity local optimizer to efficiently handle high-dimensionality and expensive simulation cost. Experimental results from 12 design cases, covering 7- and 12-bit resolutions and a frequency range of 100 kHz to 250 MHz, demonstrate highly competitive performance compared with prior works.","short_abstract":"This paper presents a system-level optimization framework for automated asynchronous SAR ADC design, addressing the limitations of block-level methods in terms of suboptimal performance and manual effort. The proposed approach integrates a fast global optimizer with a multi-fidelity local optimizer to efficiently handl...","url_abs":"https://arxiv.org/abs/2507.19541","url_pdf":"https://arxiv.org/pdf/2507.19541v1","authors":"[\"Yijia Hao\",\"Ken Li\",\"Miguel Gandara\",\"Shaolan Li\",\"Bo Liu\"]","published":"2025-07-23T11:13:56Z","proceeding":"math.OC","tasks":"[\"math.OC\"]","methods":"[]","has_code":false}