フォロー
Vidushi Goyal
タイトル
引用先
引用先
Compute-capable block RAMs for efficient deep learning acceleration on FPGAs
X Wang, V Goyal, J Yu, V Bertacco, A Boutros, E Nurvitadhi, C Augustine, ...
2021 IEEE 29th Annual International Symposium on Field-Programmable Custom …, 2021
292021
Analysis of microbump overheads for 2.5 D disintegrated design
P Ehrett, V Goyal, O Matthews, R Das, T Austin, V Bertacco
UMich. Ann Arbor Tech. Rep. CSE-TR-002-17, 2017
122017
Neksus: An interconnect for heterogeneous system-in-package architectures
V Goyal, X Wang, V Bertacco, R Das
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
82020
Hardware-friendly user-specific machine learning for edge devices
V Goyal, R Das, V Bertacco
ACM Transactions on Embedded Computing Systems (TECS) 21 (5), 1-29, 2022
62022
Myml: User-driven machine learning
V Goyal, V Bertacco, R Das
2021 58th ACM/IEEE Design Automation Conference (DAC), 145-150, 2021
42021
FirmLeak: A framework for efficient and accurate runtime estimation of leakage power by firmware
A Joseph, A Haridass, C Lefurgy, S Rachamalla, S Pai, D Chinnakkonda, ...
2015 28th International Conference on VLSI Design, 464-469, 2015
22015
Seesaw: end-to-end dynamic sensing for IoT using machine learning
V Goyal, V Bertacco, R Das
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-19, 2020
12020
Evergreen: Comprehensive Carbon Model for Performance-Emission Tradeoffs
T Adem, A McCrabb, V Goyal, V Bertacco
2024 IEEE International Symposium on Workload Characterization (IISWC), 132-143, 2024
2024
Duet: A Collaborative User Driven Recommendation System for Edge Devices
V Goyal, V Bertacco, R Das
Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024
2024
Building User-Driven Edge Devices
V Goyal
University of Michigan Ann Arbor, 2022
2022
Efficient System-In-Package Architecture for Heterogeneous Systems
V Goyal, X Wang, V Bertacco, R Das
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論文 1–11