{"688637":{"#nid":"688637","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Kevin Patino-Sosa","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EDomain-Specific Processor Architecture for High-Density Implantable Brain--Machine Interfaces\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Sathe, Advisor\u003C\/p\u003E\u003Cp\u003EDr. Raychowdhury, Chair\u003C\/p\u003E\u003Cp\u003EDr. Inan\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe objective of the proposed research is to design, implement, and validate a domain-specific, heterogeneous System-on-Chip (SoC) for next-generation implantable Brain\u2013Machine Interfaces (BMIs). This work addresses a core conflict in the field: advanced, adaptive algorithms drive up computational demand and power, while thermal safety remains non-negotiable. Therapies such as Phase-Specific Stimulation (PSS) require deterministic, submillisecond end-to-end latency, which increases on-chip power density. In an implant, that density creates localized hotspots that can damage neural tissue and violate safety standards [1, 2]. To resolve this conflict, the proposed architecture co-designs performance and thermal safety as a single problem. The heterogeneous SoC partitions into functionally distinct, asynchronous domains. A real-time, streaming Accelerator (ACC) domain\u2014built from canonical Digital Signal Processing (DSP) accelerators (e.g., Second-Order Section (SOS), Finite Impulse Response (FIR), COordinate Rotation DIgital Computer (CORDIC)) on a dynamic crossbar\u2014executes the \u201chot loop\u201d with fixed latency. A flexible Central Processing Unit (CPU) domain with a Reduced Instruction Set Computer V (RISC-V) core orchestrates dataflow and runs higher-level stimulation policies. This split also provides a path for Machine Learning (ML) expansion via the integrated Vertically-Integrated Extensions for Sparse\/Dense GEMM Tile Acceleration (VEGETA) General Matrix\u2013Matrix Multiply (GEMM) accelerator. Two pillars support safety and performance. First, the streaming ACC pipeline uses a fixed, predictable compute cycle budget, decoupling real-time latency from input data. Second, the SoC integrates a complete hardware framework for closed-loop thermal compliance: (i) a sensing plane, a distributed on-die thermal sensor network [3], and (ii) a power\/clock control plane, a set of independent power and clock domains that enable perdomain throttling and voltage\/frequency scaling. Silicon prototypes validate the architecture. Preliminary 65,nm tapeouts refined the power-domain strategy; one served as a vehicle for a co-authored power-management study [4]. The final design targets Intel 16,nm technology. Performance validation with emulated Analog-to-Digital Converter (ADC) data from the Allen Institute confirms a fixed, low-cycle compute budget (10 ACC cycles + 63 CPU cycles). The result is a silicon-proven, thermally aware platform that exposes the hardware hooks needed for safe, low-latency, energy-efficient closed-loop neuromodulation.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Domain-Specific Processor Architecture for High-Density Implantable Brain--Machine Interfaces"}],"uid":"28475","created_gmt":"2026-03-02 22:27:25","changed_gmt":"2026-03-02 22:28:56","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-12T13:00:00-04:00","event_time_end":"2026-03-12T15:00:00-04:00","event_time_end_last":"2026-03-12T15:00:00-04:00","gmt_time_start":"2026-03-12 17:00:00","gmt_time_end":"2026-03-12 19:00:00","gmt_time_end_last":"2026-03-12 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 2100, Klaus","extras":[],"related_links":[{"url":"https:\/\/teams.microsoft.com\/meet\/27628969463407?p=R95Csx8juTkqzsU1hN","title":"Microsoft Teams Meeting link"}],"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":""}}}