activity
20182026
most citedDorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads

19 citations · 89 across the 28 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CR2022★ 3 cited

Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection

Michael D. Wong, Edward Raff, James Holt +1

Data augmentation has been rare in the cyber security domain due to technical difficulties in altering data in a manner that is semantically consistent with the original data. This…

cs.NI2022★ 6 cited

Dashlet: Taming Swipe Uncertainty for Robust Short Video Streaming

Zhuqi Li, Yaxiong Xie, Ravi Netravali +1

Short video streaming applications have recently gained substantial traction, but the non-linear video presentation they afford swiping users fundamentally changes the problem of m…

cs.DC2022★ 14 cited

Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs

John Thorpe, Pengzhan Zhao, Jonathan Eyolfson +5

DNN models across many domains continue to grow in size, resulting in high resource requirements for effective training, and unpalatable (and often unaffordable) costs for organiza…

cs.OS2022★ 4 cited

Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory

Chenxi Wang, Yifan Qiao, Haoran Ma +6

Remote memory techniques for datacenter applications have recently gained a great deal of popularity. Existing remote memory techniques focus on the efficiency of a single applicat…

cs.DC2022★ 9 cited

GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge

Arthi Padmanabhan, Neil Agarwal, Anand Iyer +5

Video analytics pipelines have steadily shifted to edge deployments to reduce bandwidth overheads and privacy violations, but in doing so, face an ever-growing resource tension. Mo…