Ziqing Zeng

13 papers A 3Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decomposing Large-Scale Ising Problems on FPGAs: A Hybrid Hardware Approach.
CoRR
Ruihong Yin, Yue Zheng, Chaohui Li, Ahmet Efe, Abhimanyu Kumar, Ziqing Zeng, Ulya R. Karpuzcu, Sachin S. Sapatnekar, Chris H. Kim
2026 J jnl
Extractive summarization on a CMOS Ising machine.
CoRR
Ziqing Zeng, Abhimanyu Kumar, Ahmet Efe, Ruihong Yin, Chris H. Kim, Ulya R. Karpuzcu, Sachin S. Sapatnekar
2025 J jnl
On Solving Structured SAT on Ising Machines: A Semiprime Factorization Study.
CoRR
Ahmet Efe, Hüsrev Cilasun, Abhimanyu Kumar, Nafisa Sadaf Prova, Ziqing Zeng, Tahmida Islam, Ruihong Yin, Chaohui Li, Peter Kreye, Chris H. Kim, Sachin S. Sapatnekar, Ulya R. Karpuzcu
2024 J jnl
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
ACM Trans. Design Autom. Electr. Syst.
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng
2024 J jnl
On Heterogeneous Ising Machines.
CoRR
Hüsrev Cilasun, Abhimanyu Kumar, Ziqing Zeng, Nafisa Sadaf Prova, Sachin S. Sapatnekar, Ulya R. Karpuzcu
2023 J jnl
3SAT on an All-to-All-Connected CMOS Ising Solver Chip.
CoRR
M. Hüsrev Cilasun, Ziqing Zeng, Ramprasath S, Abhimanyu Kumar, Hao Lo, William Cho, Chris H. Kim, Ulya R. Karpuzcu, Sachin S. Sapatnekar
2023 A conf
A Multicore GNN Training Accelerator.
ISLPED
Sudipta Mondal, Ramprasath S, Ziqing Zeng, Kishor Kunal, Sachin S. Sapatnekar
2023 J jnl
A Unified Engine for Accelerating GNN Weighting/Aggregation Operations, With Efficient Load Balancing and Graph-Specific Caching.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Sudipta Mondal, Susmita Dey Manasi, Kishor Kunal, Ramprasath S, Ziqing Zeng, Sachin S. Sapatnekar
2023 J jnl
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
CoRR
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng
2023 A conf
Energy-efficient Hardware Acceleration of Shallow Machine Learning Applications.
DATE
Ziqing Zeng, Sachin S. Sapatnekar
2022 — conf
Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.
MLCAD
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng
2021 A conf
VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis.
ICCAD
Hadi Esmaeilzadeh, Soroush Ghodrati, Jie Gu, Shiyu Guo, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Rohan Mahapatra, Susmita Dey Manasi, Edwin Mascarenhas, Sachin S. Sapatnekar, Ravi Varadarajan, Zhiang Wang, Hanyang Xu, Brahmendra Reddy Yatham, Ziqing Zeng
2020 J jnl
Homogeneous and Heterogeneous Feed-Forward XOR Physical Unclonable Functions.
IEEE Trans. Inf. Forensics Secur.
S. V. Sandeep Avvaru, Ziqing Zeng, Keshab K. Parhi