{"692090":{"#nid":"692090","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Narasimha Vasishta Kidambi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; Scalable Compute-in-Memory Architectures for Integer-Constrained Least-Squares Optimization\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Saibal Mukhopadhyay, ECE, Chair, Advisor\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Suman Datta, ECE\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Shimeng Yu, ECE\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Callie Hao, ECE\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Hyesoon Kim, CoC\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis dissertation presents scalable mixed-signal compute-in-memory architectures for solving integer-constrained least-squares problems. First, a fabricated 65-nm SRAM-based solver uses stochastic Hopfield dynamics to perform local optimization directly within memory. Next, a fabricated 28-nm analog compute-in-memory macro provides high-throughput vector\u2013matrix multiplication, achieving 10.16 TOPS and a peak energy efficiency of 194.6 TOPS\/W. Finally, these two hardware functions are integrated within a block-coordinate framework that decomposes large optimization problems into smaller subproblems. The results demonstrate how specialized compute-in-memory hardware can reduce data movement and provide an energy-efficient path toward solving larger integer-constrained optimization problems.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Scalable Compute-in-Memory Architectures for Integer-Constrained Least-Squares Optimization "}],"uid":"28475","created_gmt":"2026-08-28 12:21:14","changed_gmt":"2026-08-28 12:22:41","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-02T14:00:00-04:00","event_time_end":"2026-09-02T16:00:00-04:00","event_time_end_last":"2026-09-02T16:00:00-04:00","gmt_time_start":"2026-09-02 18:00:00","gmt_time_end":"2026-09-02 20:00:00","gmt_time_end_last":"2026-09-02 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 3126, Klaus ","extras":[],"related_links":[{"url":"https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_MTMxNGFkYWQtOTdjYy00YmRiLWIzYzItNTkyNDJhNjViZDdm%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%222e30a72e-0c96-4144-8c9d-4c63c16c886c%22%7d","title":"Microsoft Teams Link "}],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}