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cs.DC2023
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi +2
Machine Learning (ML) models execute several parallel computations including Generalized Matrix Multiplication, Convolution, Dropout, etc. These computations are commonly executed…
cs.DC2023★ 2 cited
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
Zhiqi Lin, Youshan Miao, Guodong Liu +10
With the growing model size, deep neural networks (DNN) are increasingly trained over massive GPU accelerators, which demands a proper parallelization plan that transforms a DNN mo…