End-of-year DRG Gathering and Nik’s Birthday
Happy birthday! Nik!
News
Three Journals by Rajat, Danny and Rebel Accepted at TECS
Danny Abraham, Biswadip Maity, Bryan Donyanavard, and Nikil Dutt. 2025. Runtime Adaptivity for Efficient Neural Network Inference on Autonomous Systems. ACM Trans. Embed. Comput. Syst. 24, 6, Article 162 (November …
Dongjoo’s Defense
Congratulations! Dr. Dongjoo Seo!
EA^2 by Hamid Presented at ISLPED ’24
Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, and Nikil Dutt. 2024. EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. In Proceedings of the 29th ACM/IEEE …
ISCA by Hamid Accepted at IEEE Design & Test
H. Alikhani et al., “ISCA: Intelligent Sense-Compute Adaptive Co-optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables,” in IEEE Design & Test, doi:10.1109/MDAT.2024.3469828.
Three Papers by Rajat, Shawn and Hamid from was presented and ESWEEK’24
P. -X. Chen, D. Seo and N. Dutt, “FDPFS: Leveraging File System Abstraction for FDP SSD Data Placement,” in IEEE Embedded Systems Letters, vol. 16, no. 4, pp. 349-352, Dec. …
One Paper by Alex and Prof. Yongsoo from Kookmin University was presented and HotStorage’24
Dongjoo Seo, Yongsoo Joo, and Nikil Dutt. 2024. Improving Virtualized I/O Performance by Expanding the Polled I/O Path of Linux. In Proceedings of the 16th ACM Workshop on Hot Topics …
KDTree-SOM was Presented by Shawn at GLSVLSI 2024
Ping-Xiang Chen, Dongjoo Seo, Biswadip Maity, and Nikil Dutt. 2024. KDTree-SOM: Self-organizing Map based Anomaly Detection for Lightweight Autonomous Embedded Systems. In Proceedings of the Great Lakes Symposium on VLSI …