Tootfinder

Data-Driven Power Modeling and Monitoring via Hardware Performance Counter Tracking
Sergio Mazzola, Gabriele Ara, Thomas Benz, Bj\"orn Forsberg, Tommaso Cucinotta, Luca Benini
https://arxiv.org/abs/2506.23672

Data-Driven Power Modeling and Monitoring via Hardware Performance Counter Tracking
Energy-centric design is paramount in the current embedded computing era: use cases require increasingly high performance at an affordable power budget, often under real-time constraints. Hardware heterogeneity and parallelism help address the efficiency challenge, but greatly complicate online power consumption assessments, which are essential for dynamic hardware and software stack adaptations. We introduce a novel power modeling methodology with state-of-the-art accuracy, low overhead, and h…

AI-based Clinical Decision Support for Primary Care: A Real-World Study
Robert Korom, Sarah Kiptinness, Najib Adan, Kassim Said, Catherine Ithuli, Oliver Rotich, Boniface Kimani, Irene King'ori, Stellah Kamau, Elizabeth Atemba, Muna Aden, Preston Bowman, Michael Sharman, Rebecca Soskin Hicks, Rebecca Distler, Johannes Heidecke, Rahul K. Arora, Karan Singhal

AI-based Clinical Decision Support for Primary Care: A Real-World Study
We evaluate the impact of large language model-based clinical decision support in live care. In partnership with Penda Health, a network of primary care clinics in Nairobi, Kenya, we studied AI Consult, a tool that serves as a safety net for clinicians by identifying potential documentation and clinical decision-making errors. AI Consult integrates into clinician workflows, activating only when needed and preserving clinician autonomy. We conducted a quality improvement study, comparing outcome…

Invariant Extended Kalman Filter for Autonomous Surface Vessels with Partial Orientation Measurements
Derek Benham, Easton Potokar, Joshua G. Mangelson
https://arxiv.org/abs/2506.10850

Invariant Extended Kalman Filter for Autonomous Surface Vessels with Partial Orientation Measurements
Autonomous surface vessels (ASVs) are increasingly vital for marine science, offering robust platforms for underwater mapping and inspection. Accurate state estimation, particularly of vehicle pose, is paramount for precise seafloor mapping, as even small surface deviations can have significant consequences when sensing the seafloor below. To address this challenge, we propose an Invariant Extended Kalman Filter (InEKF) framework designed to integrate partial orientation measurements. While con…

Ramping Up Open-Source RISC-V Cores: Assessing the Energy Efficiency of Superscalar, Out-of-Order Execution
Zexin Fu, Riccardo Tedeschi, Gianmarco Ottavi, Nils Wistoff, C\'esar Fuguet, Davide Rossi, Luca Benini
https://arxiv.org/abs/2505.24363

Ramping Up Open-Source RISC-V Cores: Assessing the Energy Efficiency of Superscalar, Out-of-Order Execution
Open-source RISC-V cores are increasingly demanded in domains like automotive and space, where achieving high instructions per cycle (IPC) through superscalar and out-of-order (OoO) execution is crucial. However, high-performance open-source RISC-V cores face adoption challenges: some (e.g. BOOM, Xiangshan) are developed in Chisel with limited support from industrial electronic design automation (EDA) tools. Others, like the XuanTie C910 core, use proprietary interfaces and protocols, including…