PROBE3.0: A Systematic Framework for Design-Technology Pathfinding with Improved Design Enablement
- Suhyeong Choi
- Jinwook Jung
- et al.
- 2024
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC
- Monodeep Kar
- Joel Silberman
- et al.
- 2024
- ISSCC 2024
Power-Limited Inference Performance Optimization Using a Software-Assisted Peak Current Regulation Scheme in a 5-nm AI SoC
- Monodeep Kar
- Joel Silberman
- et al.
- 2024
- IEEE Journal of Solid-State Circuits
A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS
- Ankur Agrawal
- Monodeep Kar
- et al.
- 2023
- VLSI Technology 2023
A stochastic approach to handle non-determinism in deep learning-based design rule violation predictions
- Rongjian Liang
- Jiang Hu
- et al.
- 2022
- ICCAD 2022
IEEE CEDA DATC: Expanding research foundations for IC physical design and ML-enabled EDA
- Jinwook Jung
- Andrew B. Kahng
- et al.
- 2022
- ICCAD 2022
Hyper-parameter Tuning for Progressive Learning and its Application to Network Cyber Security
- Rupesh Raj Karn
- Matthew Ziegler
- et al.
- 2022
- ISCAS 2022
A 7-nm Four-Core Mixed-Precision AI Chip with 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling
- Sae Kyu Lee
- Ankur Agrawal
- et al.
- 2021
- IEEE JSSC
Still benchmarking after all these years
- Ismail S. Bustany
- Jinwook Jung
- et al.
- 2021
- ISPD 2021
Fault-Criticality Assessment for AI Accelerators using Graph Convolutional Networks
- Arjun Chaudhuri
- Jonti Talukdar
- et al.
- 2021
- DATE 2021