Q-Learning-Based Voltage-Swing Tuning and Compensation for 2.5-D Memory-Logic Integration

In this paper, an efficient I/Q management with Q-learning-based transmitter swing adjustment and receiver compensation is developed for energy-efficient 2.5-D memory-logic integration. The proposed approach is able to achieve significant power reduction over other state-of-the-art methods.

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Bibliographische Detailangaben
Veröffentlicht in:	IEEE design and test 2018-04, Vol.35 (2), p.91-99
Hauptverfasser:	Xu, Dongjun, Yu, Ningmei, Huang, Hantao, Sai Manoj, P. D., Yu, Hao
Format:	Magazinearticle
Sprache:	eng
Schlagworte:	Bandwidth Bit error rate Compensation Integrated circuit interconnections low power I/O memory-logic integration Q-learning receiver compensation Receivers Through-silicon interposer (TSI) Transmitters Tuning Two dimensional displays voltage-swing tuning
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Beschreibung
Zusammenfassung:	In this paper, an efficient I/Q management with Q-learning-based transmitter swing adjustment and receiver compensation is developed for energy-efficient 2.5-D memory-logic integration. The proposed approach is able to achieve significant power reduction over other state-of-the-art methods.
ISSN:	2168-2356 2168-2364
DOI:	10.1109/MDAT.2017.2764075