Leon Yang

TMO: transparent memory offloading in datacenters

Avoiding scheduler subversion using scheduler-cooperative locks

Pipsqueak: Lean Lambdas with Large Libraries

Contiguitas: The Pursuit of Physical Memory Contiguity in Datacenters

SOCK: Rapid Task Provisioning with Serverless-Optimized Containers

LithOS: An Operating System for Efficient Machine Learning on GPUs

IoT Network Traffic Analysis with Deep Learning

LithOS: An Operating System for Efficient Machine Learning on GPUs

The surging demand for GPUs in datacenters for machine learning (ML) has made efficient GPU utilization crucial. However, meeting the diverse needs of ML models while optimizing resource usage is...

IoT Network Traffic Analysis with Deep Learning

As IoT networks become more complex and generate massive amounts of dynamic data, it is difficult to monitor and detect anomalies using traditional statistical methods and machine learning...