An integral direct, distributed-data, parallel MP2 algorithm

1997 ◽  
Vol 95 (1) ◽  
pp. 13 ◽  
Author(s):  
Martin Schütz ◽  
Roland Lindh
Keyword(s):  
Distributed Data ◽  
Data Parallel

scholarly journals On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning

2020 ◽  
Vol 34 (04) ◽  
pp. 3817-3824
Author(s):  
Aritra Dutta ◽  
El Houcine Bergou ◽  
Ahmed M. Abdelmoniem ◽  
Chen-Yu Ho ◽  
Atal Narayan Sahu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Theoretical Analysis ◽  
Deep Neural Networks ◽  
Theory And Practice ◽  
Distributed Data ◽  
Communication Costs ◽  
Data Parallel ◽  
Model Compression ◽  
Wide Range ◽  
Learning Frameworks

Compressed communication, in the form of sparsification or quantization of stochastic gradients, is employed to reduce communication costs in distributed data-parallel training of deep neural networks. However, there exists a discrepancy between theory and practice: while theoretical analysis of most existing compression methods assumes compression is applied to the gradients of the entire model, many practical implementations operate individually on the gradients of each layer of the model.In this paper, we prove that layer-wise compression is, in theory, better, because the convergence rate is upper bounded by that of entire-model compression for a wide range of biased and unbiased compression methods. However, despite the theoretical bound, our experimental study of six well-known methods shows that convergence, in practice, may or may not be better, depending on the actual trained model and compression ratio. Our findings suggest that it would be advantageous for deep learning frameworks to include support for both layer-wise and entire-model compression.

scholarly journals Mary, Hugo, and Hugo*: Learning to schedule distributed data‐parallel processing jobs on shared clusters

2020 ◽  
Author(s):  
Lauritz Thamsen ◽  
Jossekin Beilharz ◽  
Vinh Thuy Tran ◽  
Sasho Nedelkoski ◽  
Odej Kao
Keyword(s):  
Parallel Processing ◽  
Distributed Data ◽  
Data Parallel

A characteristic study on failures of production distributed data-parallel programs

2013 ◽  
Author(s):  
Sihan Li ◽  
Hucheng Zhou ◽  
Haoxiang Lin ◽  
Tian Xiao ◽  
Haibo Lin ◽  
...  
Keyword(s):  
Parallel Programs ◽  
Distributed Data ◽  
Data Parallel

An integral direct, distributed-data, parallel MP2 algorithm

1997 ◽  
Vol 95 (1-2) ◽  
pp. 13-34 ◽  
Author(s):  
Martin Schütz ◽  
Roland Lindh
Keyword(s):  
Distributed Data ◽  
Data Parallel
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