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2020 – today
- 2025
[j5]Hadi Esmaeilzadeh
, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang:
Performance Analysis of CNN Inference/Training with Convolution and Non-Convolution Operations on ASIC Accelerators. ACM Trans. Design Autom. Electr. Syst. 30(1): 1-34 (2025)- 2024
- [j4]Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
K-SpecPart: Supervised Embedding Algorithms and Cut Overlay for Improved Hypergraph Partitioning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(4): 1232-1245 (2024) - [j3]Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang:
Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-Scale Complex IP Blocks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1552-1565 (2024) - [j2]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. ACM Trans. Design Autom. Electr. Syst. 29(4): 1-33 (2024) - [i7]Andrew B. Kahng, Zhiang Wang:
DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators. CoRR abs/2404.13049 (2024) - [i6]Hongyang Pan, Cunqing Lan, Yiting Liu, Zhiang Wang, Li Shang, Xuan Zeng, Fan Yang, Keren Zhu:
Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement. CoRR abs/2408.07886 (2024) - 2023
- [j1]Lingmei Yin, Wei Tian, Ling Wang, Zhiang Wang, Zhuoping Yu:
SPV-SSD: An Anchor-Free 3D Single-Stage Detector with Supervised-PointRendering and Visibility Representation. Remote. Sens. 15(1): 161 (2023) - [c8]Ismail Bustany, Grigor Gasparyan, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
An Open-Source Constraints-Driven General Partitioning Multi-Tool for VLSI Physical Design. ICCAD 2023: 1-9 - [c7]Jinwook Jung, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Dooseok Yoon:
Invited Paper: IEEE CEDA DATC Emerging Foundations in IC Physical Design and MLCAD Research. ICCAD 2023: 1-7 - [c6]Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang:
Assessment of Reinforcement Learning for Macro Placement. ISPD 2023: 158-166 - [i5]Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang:
Assessment of Reinforcement Learning for Macro Placement. CoRR abs/2302.11014 (2023) - [i4]Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang:
Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-scale Complex IP Blocks. CoRR abs/2304.11761 (2023) - [i3]Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
K-SpecPart: A Supervised Spectral Framework for Multi-Way Hypergraph Partitioning Solution Improvement. CoRR abs/2305.06167 (2023) - [i2]Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang:
Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations. CoRR abs/2306.16767 (2023) - [i1]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) - 2022
- [c5]Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
SpecPart: A Supervised Spectral Framework for Hypergraph Partitioning Solution Improvement. ICCAD 2022: 13:1-13:9 - [c4]Jinwook Jung, Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang:
IEEE CEDA DATC: Expanding Research Foundations for IC Physical Design and ML-Enabled EDA. ICCAD 2022: 96:1-96:8 - [c3]Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang:
RTL-MP: Toward Practical, Human-Quality Chip Planning and Macro Placement. ISPD 2022: 3-11 - [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
Coauthor Index
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