{"682070":{"#nid":"682070","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Jamin Seo","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EWorkload-aware Cross-stack Co-optimization for Multi-task Multi-model Edge Machine Learning\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Krishna, Advisor\u003C\/p\u003E\u003Cp\u003EDr. Kwon, Co-Advisor\u003C\/p\u003E\u003Cp\u003EDr. Hao, Chair\u003C\/p\u003E\u003Cp\u003EDr. Lin\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe objective of the proposed research is to explore cross-stack co-optimization on designing edge accelerators tailored for multi-task multi-model (MTMM) machine learning (ML) in edge, namely AR\/VR and drone use cases. These workloads introduce unique application-level characteristics and constraints that distinguish the optimization goals than traditional ML accelerator designs. The proposed research aims to investigate workload-aware cross-stack co-optimization across key accelerator components: GEMM compute with constrained dataflow flexibility at minimal hardware overhead; non-GEMM compute with hardware-friendly numerical approximation algorithms; and on-chip memory management with dynamicity-aware placement strategies.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Workload-aware Cross-stack Co-optimization for Multi-task Multi-model Edge Machine Learning"}],"uid":"28475","created_gmt":"2025-04-26 08:17:40","changed_gmt":"2025-04-26 08:18:43","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-05-01T09:00:00-04:00","event_time_end":"2025-05-01T11:00:00-04:00","event_time_end_last":"2025-05-01T11:00:00-04:00","gmt_time_start":"2025-05-01 13:00:00","gmt_time_end":"2025-05-01 15:00:00","gmt_time_end_last":"2025-05-01 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 1212, Klaus ","extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"},{"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":""}}}