Zhiang Wang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Physical Design

Hypergraph Partitioning

Semantic Dependencies

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

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) (2024)
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) (2024)
Andrew B. Kahng, Zhiang Wang
DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators. CoRR (2024)
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)
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 (2023)
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 (2023)
Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang
Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-scale Complex IP Blocks. CoRR (2023)
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) (2023)
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)
Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang
Assessment of Reinforcement Learning for Macro Placement. ISPD (2023)
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 (2023)
Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang
Assessment of Reinforcement Learning for Macro Placement. CoRR (2023)
Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang
SpecPart: A Supervised Spectral Framework for Hypergraph Partitioning Solution Improvement. ICCAD (2022)
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)
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)
Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang
RTL-MP: Toward Practical, Human-Quality Chip Planning and Macro Placement. ISPD (2022)
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)