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Tactic: Use Data Projection

Tactic sort: Awesome Tactic
Type: Architectural Tactic
Category: green-ml-enabled-systems
Tags: data-centric  machine-learning 

Title

Use Data Projection

Description

Data projection means transforming data into a lower-dimensional embedding and using data to optimize projection parameters. Reducing the dimensionality of input data shrinks the dimensionality of the deep neural network (DNN), which leads to improved performance of the model. Using data projection as a preprocessing step can result in energy improvements without sacrificing performance or accuracy.

Participant

Data Scientist

Related software artifact

Data

Context

Machine Learning

Software feature

< unknown >

Tactic intent

Improve performance (and consequently energy efficiency) by projecting data into lower-dimensional embeddings

Target quality attribute

Performance

Other related quality attributes

Accuracy, Energy Efficiency

Measured impact

< unknown >

Source

Bita Darvish Rouhani, Azalia Mirhoseini, and Farinaz Koushanfar. 2016. DeLight: Adding Energy Dimension To Deep Neural Networks. In ISLPED ’16: Proceedings of the 2016 International Symposium on Low Power Electronics and Design. Association for Computing Machinery, New York, NY, USA, 112–117. (DOI: https://doi.org/10.1145/2934583.2934599)


Graphical representation

  • Contact person
  • Patricia Lago (VU Amsterdam)
  •  disc at vu.nl
  •  patricialago.nl

The Archive of Awesome and Dark Tactics (AADT) is an initiative of the Digital Sustainability Center (DiSC). It received funding from the VU Amsterdam Sustainability Institute, and is maintained by the S2 Group of the Vrije Universiteit Amsterdam.

Initial development of the Archive of Awesome and Dark Tactics by Robin van der Wiel