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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Veröffentlicht in:	2021 58th ACM/IEEE Design Automation Conference (DAC) S. 1111 - 1116
Hauptverfasser:	Hakert, Christian, Khan, Asif Ali, Chen, Kuan-Hsun, Hameed, Fazal, Castrillon, Jeronimo, Chen, Jian-Jia
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.12.2021
Schlagworte:	Energy consumption Machine learning Machine learning algorithms Memory management Nonvolatile memory Power systems Runtime
Online-Zugang:	Volltext
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