research
∙
04/26/2022
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs
DNN models across many domains continue to grow in size, resulting in hi...
share
research
∙
03/17/2022
Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory
Remote memory techniques for datacenter applications have recently gaine...
research
∙
01/19/2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Video analytics pipelines have steadily shifted to edge deployments to r...
research
∙
11/09/2021
Stateful Dynamic Partial Order Reduction for Model Checking Event-Driven Applications that Do Not Terminate
Event-driven architectures are broadly used for systems that must respon...
research
∙
07/18/2021
SpecBox: A Label-Based Transparent Speculation Scheme Against Transient Execution Attacks
Speculative execution techniques have been a cornerstone of modern proce...
research
∙
05/24/2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
A graph neural network (GNN) enables deep learning on structured graph d...
research
∙
04/01/2020