DocumentCode :
230398
Title :
Novel Critical Path Aware transistor optimization for mobile SoC device-circuit co-design
Author :
Mojumder, Niladri N. ; Song, Seung Chul ; Wang, Jiacheng ; Ken Lin ; Rim, Ken ; Xu, Jie ; Yeap, Geoffrey
Author_Institution :
Adv. Silicon Technol., Qualcomm Technol. Inc., San Diego, CA, USA
fYear :
2014
fDate :
9-12 June 2014
Firstpage :
1
Lastpage :
2
Abstract :
We present, for the first time, a holistic system-circuit-transistor co-optimization method, named “Critical Path Aware (CPA) transistor optimization”, through which we demonstrate power reduction of more than 20% in a state-of-the-art SoC design. In this method, we simplify and optimize all paths (critical and non-critical) to guide device design point for maximum power-performance benefit. We introduce novel `Binning and Mapping of statistical Path delay (BMP)´ method as a key enabler of this optimization platform, which deduces complex block level circuit data paths to a set of manageable ring oscillators, which are then used to link product level power-performance metric to transistor level optimization, taking intrinsic transistor performance, multiple Vt and multiple Lg into account simultaneously. This holistic optimization method has the potential as an important tool to extend Moore´s law beyond 10nm node by maximizing performance and minimizing process complexity.
Keywords :
MOSFET; circuit optimisation; oscillators; system-on-chip; FinFET; critical path aware transistor optimization; holistic optimization; mobile SoC device-circuit co-design; power-performance benefit; ring oscillators; size 10 nm; statistical path delay binning; statistical path delay mapping; system-on-chip; Delays; Digital signal processing; FinFETs; Optimization methods; System-on-chip;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
VLSI Technology (VLSI-Technology): Digest of Technical Papers, 2014 Symposium on
Conference_Location :
Honolulu, HI
ISSN :
0743-1562
Print_ISBN :
978-1-4799-3331-0
Type :
conf
DOI :
10.1109/VLSIT.2014.6894379
Filename :
6894379
Link To Document :
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