10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.DC2024
GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism
Byungsoo Jeon, Mengdi Wu, Shiyi Cao +11
Deep neural networks (DNNs) continue to grow rapidly in size, making them infeasible to train on a single device. Pipeline parallelism is commonly used in existing DNN systems to s…
cs.DC2024★ 10 cited
Practical Rateless Set Reconciliation
Lei Yang, Yossi Gilad, Mohammad Alizadeh
Set reconciliation, where two parties hold fixed-length bit strings and run a protocol to learn the strings they are missing from each other, is a fundamental task in many distribu…