33 citations · 50 across the 7 of their papers we have counts for
7 papers
AgileOS: A GPU Operating System Layer for Protected CUDA Services
Zhuoping Yang, Yiyu Shi, Alex Jones +1
Modern GPU applications increasingly interact with storage systems, network devices, vendor libraries, and GPU-resident services rather than executing only isolated compute kernels…
Report for NSF Workshop on Algorithm-Hardware Co-design for Medical Applications
Peipei Zhou, Zheng Dong, Insup Lee +8
This report summarizes the discussions and recommendations from the NSF Workshop on Algorithm-Hardware Co-design for Medical Applications, held on September 26-27, 2024, in Pittsbu…
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
Yi Sheng, Junhuan Yang, Jinyang Li +6
As Artificial Intelligence (AI) increasingly integrates into our daily lives, fairness has emerged as a critical concern, particularly in medical AI, where datasets often reflect i…
SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration
Jinming Zhuang, Zhuoping Yang, Shixin Ji +5
With the increase in the computation intensity of the chip, the mismatch between computation layer shapes and the available computation resource significantly limits the utilizatio…
SCARIF: Towards Carbon Modeling of Cloud Servers with Accelerators
Shixin Ji, Zhuoping Yang, Xingzhen Chen +5
Embodied carbon has been widely reported as a significant component in the full system lifecycle of various computing systems' green house gas emissions. Many efforts have been und…
REFRESH FPGAs: Sustainable FPGA Chiplet Architectures
Peipei Zhou, Jinming Zhuang, Stephen Cahoon +6
There is a growing call for greater amounts of increasingly agile computational power for edge and cloud infrastructure to serve the computationally complex needs of ubiquitous com…
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis
Ruiyang Qin, Jun Xia, Zhenge Jia +5
After a large language model (LLM) is deployed on edge devices, it is desirable for these devices to learn from user-generated conversation data to generate user-specific and perso…