1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
SAfEPaTh: A System-Level Approach for Efficient Power and Thermal Estimation of Convolutional Neural Network Accelerator
Yukai Chen, Simei Yang, Debjyoti Bhattacharjee +2
The design of energy-efficient, high-performance, and reliable Convolutional Neural Network (CNN) accelerators involves significant challenges due to complex power and thermal mana…
cs.AR2024★ 1 cited
Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference
Joyjit Kundu, Wenzhe Guo, Ali BanaGozar +4
Aligning future system design with the ever-increasing compute needs of large language models (LLMs) is undoubtedly an important problem in today's world. Here, we propose a genera…