A bidirectional DNN partition mechanism for efficient pipeline ...

We propose “Bi-Partition”, a novel partitioning method based on bidirectional partitioning for forward propagation (FP) and backward propagation (BP), which ...

A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud. Cui, Lingyun; Qu, Zhihao; Zhang, Guomin; Tang, Bin; Ye, Baoliu ...

A bidirectional DNN partition mechanism for efficient pipeline ...

To break through the computation and memory limitation of a single machine, pipeline model parallelism is proposed for large-scale DNN training by fully ...

A Bidirectional DNN Partition Mechanism for E cient Pipeline ...

Experiments on various DNN models and datasets validate the efficiency of our mechanism, e.g., the training efficiency achieving up to 1.9× ...

(PDF) A Bidirectional DNN Partition Mechanism for Efficient Pipeline ...

PDF | Recently, deep neural networks (DNNs) have shown great promise in many fields while their parameter sizes are rapidly expanding. To break through.

A bidirectional DNN partition mechanism for efficient pipeline ...

A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud. Journal of Cloud Computing ( IF 3.7 ) Submission Guide > Pub Date ...

A bidirectional DNN partition mechanism for efficient pipeline ... - OUCI

A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud. https://doi.org/10.1186/s13677-022-00382-7 ·. Journal: Journal of ...

An example of bi-partition with 1F1B. - ResearchGate

Download scientific diagram | An example of bi-partition with 1F1B. from publication: A Bidirectional DNN Partition Mechanism for Efficient Pipeline ...

Volume 12, issue 1 | Journal of Cloud Computing - SpringerLink

... dnn partition strategy with energy saving. Authors ... Article: 23. A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud.

Memory-Efficient Pipeline-Parallel DNN Training - Deepak Narayanan

PipeDream-2BW's planner determines the size of each model partition, batch size, and whether to use memory- saving optimizations like activation recomputation ( ...

TiMePReSt: Time and Memory Efficient Pipeline Parallel DNN ...

Partitioning the data is needful to accelerate the training for small networks only. Since large networks increase number of model weights, thus ...

OpenURL Connection Search - EBSCO

A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud. Published in: Journal of Cloud Computing (2192-113X), 2023, v. 12 ...

[PDF] SmartPipe: Intelligently Freezing Layers in Pipeline ...

A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud · Computer Science, Engineering. Journal of Cloud Computing · 2023.

Memory-Efficient Pipeline-Parallel DNN Training - People @EECS

PipeDream-2BW's planner determines the size of each model partition, batch size, and whether to use memory- saving optimizations like activation ...

PipeDream: Generalized Pipeline Parallelism for DNN Training

1F1B-RR remains an effective scheduling mechanism, as highlighted in ... Fast and Efficient Pipeline Parallel DNN Training. arXiv preprint.

PipeDream: A more effective way to train deep neural networks ...

The most common approach to parallelize DNN training is a method called data parallelism (see Figure 1 below), which partitions input data ...

MixPipe: Efficient Bidirectional Pipeline Parallelism for Training ...

This paper proposes MixPipe, a novel bidirectional pipeline parallelism for efficiently training large-scale models in synchronous scenarios that achieves a ...

Highly performant pipeline parallel deep neural network training

... efficiently schedule the forward and backward passes of a bi-directional DNN training pipeline. These aspects of the disclosed technologies ...

Intelligently Freezing Layers in Pipeline Parallelism for Distributed ...

Ye, “A bidirectional dnn partition mechanism for efficient pipeline parallel training in cloud,”. Journal of Cloud Computing, vol. 12, no. 1, p. 22, 2023. [2] ...

Parallelizing DNN Training on GPUs: Challenges and Opportunities

In pipeline parallelism, the DNN model is partitioned into a group of layers ... Memory-efficient pipeline-parallel dnn training. arXiv preprint. arXiv ...