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2020 – today
- 2024
[d1]Hüsrev Cilasun
, William Moy, Ziqing Zeng, Tahmida Islam, Hao Lo, Alex Vanasse, Megan Tan, Mohammad Anees, Ramprasath S, Abhimanyu Kumar, Sachin S. Sapatnekar, Chris H. Kim, Ulya R. Karpuzcu:
COBI: A Coupled Oscillator Based Ising Chip for Combinatorial Optimization. Zenodo, 2024
- 2023
- [j2]Sudipta Mondal, Susmita Dey Manasi, Kishor Kunal, Ramprasath S, Ziqing Zeng, Sachin S. Sapatnekar:
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. 42(12): 4844-4857 (2023) - [c4]Ziqing Zeng, Sachin S. Sapatnekar:
Energy-efficient Hardware Acceleration of Shallow Machine Learning Applications. DATE 2023: 1-6 - [c3]Sudipta Mondal, Ramprasath S, Ziqing Zeng, Kishor Kunal, Sachin S. Sapatnekar:
A Multicore GNN Training Accelerator. ISLPED 2023: 1-6 - [i2]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:
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators. CoRR abs/2308.12120 (2023) - [i1]M. Hüsrev Cilasun, Ziqing Zeng, Ramprasath S, Abhimanyu Kumar, Hao Lo, William Cho, Chris H. Kim, Ulya R. Karpuzcu, Sachin S. Sapatnekar:
3SAT on an All-to-All-Connected CMOS Ising Solver Chip. CoRR abs/2309.11017 (2023) - 2022
- [c2]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:
Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms. MLCAD 2022: 119-126 - 2021
- [c1]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:
VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis. ICCAD 2021: 1-7 - 2020
- [j1]S. V. Sandeep Avvaru, Ziqing Zeng, Keshab K. Parhi:
Homogeneous and Heterogeneous Feed-Forward XOR Physical Unclonable Functions. IEEE Trans. Inf. Forensics Secur. 15: 2485-2498 (2020)
Coauthor Index
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