Jianming Tong

According to our database, Jianming Tong authored at least 24 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Adapting AlphaEvolve to Optimize Fully Homomorphic Encryption on TPUs.

Shruthi Gorantala, Jianming Tong, Asra Ali, Baiyu Li, Jonathan Katz, Jeremy Kun, Thomas Steinke, Abhradeep Thakurta, Julian Walker, Amir Yazdanbakhsh

CoRR, May, 2026

Enabling AI ASICs for Zero Knowledge Proof.

Jianming Tong, Jingtian Dang, Simon Langowski, Tianhao Huang, Asra Ali, Jeremy Kun, Jevin Jiang, Srinivas Devadas, Tushar Krishna

CoRR, April, 2026

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading.

Jianming Tong, Hanshen Xiao, Krishna Kumar Nair, Hao Kang, Ashish Sirasao, Ziqi Zhang, G. Edward Suh, Tushar Krishna

CoRR, April, 2026

SCALE-Sim TPU: Validating and Extending SCALE-Sim for TPUs.

Jingtian Dang, Ritik Raj, Changhai Man, Jianming Tong, Tushar Krishna

CoRR, March, 2026

Breaking Rules, Building Trust: A Fireside Chat With Prof. Todd Austin.

Jianming Tong

IEEE Micro, 2026

MINISA: Minimal Instruction Set Architecture for Next-gen Reconfigurable Inference Accelerator.

Jianming Tong, Devansh Jain, Yujie Li, Charith Mendis, Tushar Krishna

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2026

Leveraging ASIC AI Chips for Homomorphic Encryption.

Jianming Tong, Tianhao Huang, Jingtian Dang, Leo de Castro, Anirudh Itagi, Anupam Golder, Asra Ali, Jeremy Kun, Jevin Jiang, Arvind, G. Edward Suh, Tushar Krishna

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025

Leveraging ASIC AI Chips for Homomorphic Encryption.

Jianming Tong, Tianhao Huang, Jingtian Dang, Leo de Castro, Anirudh Itagi, Asra Ali, Jeremy Kun, Jevin Jiang, Arvind, Anupam Golder, G. Edward Suh, Tushar Krishna

Dataset, December, 2025

Leveraging ASIC AI Chips for Homomorphic Encryption.

Jianming Tong, Tianhao Huang, Jingtian Dang, Leo de Castro, Anirudh Itagi, Asra Ali, Jeremy Kun, Jevin Jiang, Arvind, Anupam Golder, Gookwon Edward Suh, Tushar Krishna

Dataset, December, 2025

Leveraging ASIC AI Chips for Homomorphic Encryption.

Jianming Tong, Tianhao Huang, Leo de Castro, Anirudh Itagi, Jingtian Dang, Anupam Golder, Asra Ali, Jevin Jiang, Arvind, G. Edward Suh, Tushar Krishna

CoRR, January, 2025

Sipping Matcha of Security: A Fireside Chat With Mengjia Yan.

Jianming Tong, Zishen Wan

IEEE Micro, 2025

Exploring Constrained Dataflow Accelerators for Real-Time Multi-Task Multi-Model Ml Workloads.

Jamin Seo, Jianming Tong, Tushar Krishna, Hyoukjun Kwon

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2025

SCALE-Sim V3: a Modular Cycle-Accurate Systolic Accelerator Simulator for End-To-End System Analysis.

Ritik Raj, Sarbartha Banerjee, Nikhil Chandra, Zishen Wan, Jianming Tong, Ananda Samajdar, Tushar Krishna

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2025

SquareLoop: Explore Optimal Authentication Block Strategy for ML.

Jan Strzeszynski, Jianming Tong, Kyungmi Lee, Nathan Xiong, Angshuman Parashar, Joel S. Emer, Tushar Krishna, Mengjia Yan

Proceedings of the 14th International Workshop on Hardware and Architectural Support for Security and Privacy, 2025

2024

Accurate Low-Degree Polynomial Approximation of Non-Polynomial Operators for Fast Private Inference in Homomorphic Encryption.

Jingtian Dang, Jianming Tong, Anupam Golder, Cong Hao, Arijit Raychowdhury, Tushar Krishna

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching.

Jianming Tong, Anirudh Itagi, Prasanth Chatarasi, Tushar Krishna

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

2023

On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs.

Gauthaman Murali, Aditya Iyer, Lingjun Zhu, Jianming Tong, Francisco Muñoz-Martínez, Srivatsa Rangachar Srinivasa, Tanay Karnik, Tushar Krishna, Sung Kyu Lim

IEEE Trans. Very Large Scale Integr. Syst., October, 2023

Hardware-Software Co-Design for Real-Time Latency-Accuracy Navigation in Tiny Machine Learning Applications.

Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Bambhaniya, Tushar Krishna, Alexey Tumanov

IEEE Micro, 2023

Subgraph Stationary Hardware-Software Inference Co-Design.

Payman Behnam, Alexey Tumanov, Tushar Krishna, Pranav Gadikar, Yangyu Chen, Jianming Tong, Yue Pan, Abhimanyu Rajeshkumar Bambhaniya, Alind Khare

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors.

Sudarshan Sharma, Uday Kamal, Jianming Tong, Tushar Krishna, Saibal Mukhopadhyay

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2021

PIT: Processing-In-Transmission With Fine-Grained Data Manipulation Networks.

Pengchen Zong, Tian Xia, Haoran Zhao, Jianming Tong, Zehua Li, Wenzhe Zhao, Nanning Zheng, Pengju Ren

IEEE Trans. Computers, 2021

SMMR-Explore: SubMap-based Multi-Robot Exploration System with Multi-robot Multi-target Potential Field Exploration Method.

Jincheng Yu, Jianming Tong, Yuanfan Xu, Zhilin Xu, Haolin Dong, Tianxiang Yang, Yu Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

ac²SLAM: FPGA Accelerated High-Accuracy SLAM with Heapsort and Parallel Keypoint Extractor.

Cheng Wang, Yingkun Liu, Kedai Zuo, Jianming Tong, Yan Ding, Pengju Ren

Proceedings of the International Conference on Field-Programmable Technology, 2021

2020

COCOA: Content-Oriented Configurable Architecture Based on Highly-Adaptive Data Transmission Networks.

Tian Xia, Pengchen Zong, Haoran Zhao, Jianming Tong, Wenzhe Zhao, Nanning Zheng, Pengju Ren

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020