BLOwing Trees to the Ground: Layout Optimization of Decision Trees on Racetrack Memory

Modern distributed low power systems tend to integrate machine learning algorithms, which are directly executed on the distributed devices (on the edge). In resource constrained setups (e.g. battery driven sensor nodes), the execution of the machine learning models has to be optimized for execution...

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Bibliographic Details

Published in:	2021 58th ACM/IEEE Design Automation Conference (DAC) pp. 1111 - 1116
Main Authors:	Hakert, Christian, Khan, Asif Ali, Chen, Kuan-Hsun, Hameed, Fazal, Castrillon, Jeronimo, Chen, Jian-Jia
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.12.2021
Subjects:	Energy consumption Machine learning Machine learning algorithms Memory management Nonvolatile memory Power systems Runtime
Online Access:	Get full text
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