Gu-Yeon Wei
Harvard University
H-index: 59
North America-United States
Top articles of Gu-Yeon Wei
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Application-Level Validation of Accelerator Designs Using a Formal Software/Hardware Interface | ACM Transactions on Design Automation of Electronic Systems | Bo-Yuan Huang Steven Lyubomirsky Yi Li Mike He Gus Henry Smith | 2024/2/15 |
CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning | Sai Qian Zhang Thierry Tambe Nestor Cuevas Gu-Yeon Wei David Brooks | 2024/3/2 | |
Hardware Resilience Properties of Text-Guided Image Classifiers | Advances in Neural Information Processing Systems | Syed Talal Wasim Kabila Haile Soboka Abdulrahman Mahmoud Salman H Khan David Brooks | 2024/2/13 |
: Increasing GPU Utilization during Generative Inference for Higher Throughput | Advances in Neural Information Processing Systems | Yunho Jin Chun-Feng Wu David Brooks Gu-Yeon Wei | 2024/2/13 |
Guac: Energy-Aware and SSA-Based Generation of Coarse-Grained Merged Accelerators from LLVM-IR | arXiv preprint arXiv:2402.13513 | Iulian Brumar Rodrigo Rocha Alex Bernat Devashree Tripathy David Brooks | 2024/2/21 |
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU | arXiv preprint arXiv:2401.16732 | Hyeri Roh Jinsu Yeo Yeongil Ko Gu-Yeon Wei David Brooks | 2024/1/30 |
14.5 A 12nm Linux-SMP-Capable RISC-V SoC with 14 Accelerator Types, Distributed Hardware Power Management and Flexible NoC-Based Data Orchestration | Maico Cassel Dos Santos Tianyu Jia Joseph Zuckerman Martin Cochet Davide Giri | 2024/2/18 | |
A 12nm Linux-SMP-Capable RISC-V SoC with 14 Accelerator Types, Distributed Hardware Power Management, and Flexible NoC-Based Data Orchestration | Maico Cassel Dos Santos Tianyu Jia Joseph Zuckerman Martin Cochet Davide Giri | 2024/2/18 | |
A binary-activation, multi-level weight RNN and training algorithm for ADC-/DAC-free and noise-resilient processing-in-memory inference with eNVM | IEEE Transactions on Emerging Topics in Computing | Siming Ma David Brooks Gu-Yeon Wei | 2023/2/8 |
Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory | Alexander Hankin Lillian Pentecost Dongmoon Min David Brooks Gu-Yeon Wei | 2023/4/23 | |
Carbon-Efficient Design Optimization for Computing Systems | Mariam Elgamal Doug Carmean Elnaz Ansari Okay Zed Ramesh Peri | 2023/7/9 | |
Silent Data Corruption in Robot Operating System: A Case for End-to-End System-Level Fault Analysis Using Autonomous UAVs | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | Yu-Shun Hsiao Zishen Wan Tianyu Jia Radhika Ghosal Abdulrahman Mahmoud | 2023/11/13 |
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices | arXiv preprint arXiv:2301.10999 | Yuji Chai Devashree Tripathy Chuteng Zhou Dibakar Gope Igor Fedorov | 2023/1/26 |
Trireme: Exploration of hierarchical multi-level parallelism for hardware acceleration | ACM Transactions on Embedded Computing Systems | Georgios Zacharopoulos Adel Ejjeh Ying Jing En-Yu Yang Tianyu Jia | 2023/4/20 |
Int2. 1: Towards fine-tunable quantized large language models with error correction through low-rank adaptation | arXiv preprint arXiv:2306.08162 | Yuji Chai John Gkountouras Glenn G Ko David Brooks Gu-Yeon Wei | 2023/6/13 |
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems | arXiv preprint arXiv:2310.02784 | Samuel Hsia Alicia Golden Bilge Acun-Uyan Newsha Ardalani Zachary DeVito | 2023/10/4 |
Gpu-based private information retrieval for on-device machine learning inference | arXiv preprint arXiv:2301.10904 | Maximilian Lam Jeff Johnson Wenjie Xiong Kiwan Maeng Udit Gupta | 2023/1/26 |
Mavfi: An end-to-end fault analysis framework with anomaly detection and recovery for micro aerial vehicles | Yu-Shun Hsiao Zishen Wan Tianyu Jia Radhika Ghosal Abdulrahman Mahmoud | 2023/4/17 | |
Camel: Co-designing ai models and embedded drams for efficient on-device learning | arXiv preprint arXiv:2305.03148 | Sai Qian Zhang Thierry Tambe Nestor Cuevas Gu-Yeon Wei David Brooks | 2023/5/4 |
VelociTI: An Architecture-level Performance Modeling Framework for Trapped Ion Quantum Computers | Alexander Hankin Abdulrahman Mahmoud Mark Hempstead David Brooks Gu-Yeon Wei | 2023/10/1 |
Co-Authors
