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2012.12544
Cited By

BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training

v1v2 (latest)

BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training

23 December 2020

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Papers citing "BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training"

3 / 3 papers shown

SpikePipe: Accelerated Training of Spiking Neural Networks via
Inter-Layer Pipelining and Multiprocessor Scheduling

SpikePipe: Accelerated Training of Spiking Neural Networks via Inter-Layer Pipelining and Multiprocessor Scheduling

Keshab K. Parhi

212

4

0

11 Jun 2024

FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training
Framework for Heterogeneous Edge Devices

FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training Framework for Heterogeneous Edge Devices

Jiming Chen

201

4

0

06 Oct 2021

LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and
Inter-Layer Gradient Pipelining and Multiprocessor Scheduling

LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and Inter-Layer Gradient Pipelining and Multiprocessor Scheduling

Nanda K. Unnikrishnan

Keshab K. Parhi

133

10

0

14 Aug 2021

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