29 citations · 75 across the 13 of their papers we have counts for
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cs.DC2023
Ada-Grouper: Accelerating Pipeline Parallelism in Preempted Network by Adaptive Group-Scheduling for Micro-Batches
Siyu Wang, Zongyan Cao, Chang Si +3
Pipeline parallelism has been demonstrated to be a remarkable approach to improve throughput for training deep neural networks with billions of parameters over heterogeneous cluste…
cs.DC2023★ 2 cited
Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform
Shiwei Zhang, Lansong Diao, Siyu Wang +7
We present Rhino, a system for accelerating tensor programs with automatic parallelization on AI platform for real production environment. It transforms a tensor program written fo…
cs.LG2023
Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment
Shiwei Zhang, Xiaodong Yi, Lansong Diao +3
This paper presents TAG, an automatic system to derive optimized DNN training graph and its deployment onto any device topology, for expedited training in device- and topology- het…