3 citations · 7 across the 5 of their papers we have counts for
10 papers
Daisen: A Framework for Visualizing Detailed GPU Execution
Yifan Sun, Yixuan Zhang, Ali Mosallaei +3
Graphics Processing Units (GPUs) have been widely used to accelerate artificial intelligence, physics simulation, medical imaging, and information visualization applications. To im…
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth
Shi Dong, Zlatan Feric, Guangyu Li +10
In this paper, we propose Ensemble Learning models to identify factors contributing to preterm birth. Our work leverages a rich dataset collected by a NIEHS P42 Center that is tryi…
MGPU-TSM: A Multi-GPU System with Truly Shared Memory
Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani +6
The sizes of GPU applications are rapidly growing. They are exhausting the compute and memory resources of a single GPU, and are demanding the move to multiple GPUs. However, the p…
Hardware/Software Obfuscation against Timing Side-channel Attack on a GPU
Elmira Karimi, Yunsi Fei, David Kaeli
GPUs are increasingly being used in security applications, especially for accelerating encryption/decryption. While GPUs are an attractive platform in terms of performance, the sec…
HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems
Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani +6
While multi-GPU (MGPU) systems are extremely popular for compute-intensive workloads, several inefficiencies in the memory hierarchy and data movement result in a waste of GPU reso…
A Smart Background Scheduler for Storage Systems
Maher Kachmar, David Kaeli
In today's enterprise storage systems, supported data services such as snapshot delete or drive rebuild can cause tremendous performance interference if executed inline along with…