Publications & Talks

Refereed Publications

• T. Adem, A. McCrabb, V. Goyal and V. Bertacco, "Evergreen: Comprehensive Carbon Model for Performance-Emission Tradeoffs," 2024 IEEE International Symposium on Workload Characterization (IISWC'24). Paper

• Vidushi Goyal, Valeria Bertacco, and Reetuparna Das. "Duet: A Collaborative User Driven Recommendation System for Edge Devices." In 61st ACM/IEEE Design Automation Conference (DAC '24). Paper

• Goyal, Vidushi, Reetuparna Das, and Valeria Bertacco. "Hardware-friendly User-specific Machine Learning for Edge Devices." ACM Transactions on Embedded Computing Systems (TECS) (2022).  Paper 

• Goyal, Vidushi, Valeria Bertacco, and Reetuparna Das. "MyML: User-Driven Machine Learning." 2021 58th ACM/IEEE Design Automation Conference (DAC). IEEE, 2021. Paper Video Demo 

• Wang, Xiaowei, Vidushi Goyal, Jiecao Yu, Valeria Bertacco, Andrew Boutros, Eriko Nurvitadhi, Charles Augustine, Ravi Iyer, and Reetuparna Das. "Compute-Capable Block RAMs for Efficient Deep Learning Acceleration on FPGAs." In 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), pp. 88-96. IEEE, 2021. Paper 

• Goyal, Vidushi, Valeria Bertacco, and Reetuparna Das. "Seesaw: End-to-end Dynamic Sensing for IoT using Machine Learning." 2020 57th ACM/IEEE Design Automation Conference (DAC). IEEE, 2020. Paper Video 

• Goyal, Vidushi, Xiaowei Wang, Valeria Bertacco, and Reetuparna Das. "Neksus: An Interconnect for Heterogeneous System-In-Package Architectures." In 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 12-21. IEEE, 2020. Paper Video 

• Joseph A, Haridass A, Lefurgy C, Rachamalla S, Pai S, Chinnakkonda D, Goyal V. FirmLeak: A framework for efficient and accurate runtime estimation of leakage power by firmware. In2015 28th International Conference on VLSI Design 2015 Jan 3 (pp. 464-469). IEEE. Paper 

Workshop and Other Talks

• A Collaborative User Driven Edge-Cloud Recommendation System, Poster at Annual Symposium of Center for Application Driven Architecture (ADA), 2022.

• MyML: User-Driven Machine Learning, Demo for Annual Symposium of Center for Application Driven Architecture (ADA), 2021.

• Architecting Future Edge Platforms, Invited Talk for NYU Tandon Faculty First Look Fellowship Program, 2021.

• Personalized ML: User Data Driven Machine Learning, TECHCON by Semiconductor Research Corporation (SRC), 2020.

• Novel Architectures for Emerging Embedded Applications, GRC Technology Transfer e-Workshop for the System Level Design Research Program, 2019.

• Collaborative Sensing for Improving Energy Efficiency of IoT Platforms, TECHCON by Semiconductor Research Corporation (SRC), 2019.

• Design of Flexible Interconnect IPs for System-In-Package Architectures, TECHCON by Semiconductor Research Corporation (SRC), 2017.