A 28 nm 0.6 V Low Power DSP for Mobile Applications

Nathan Ickes(Massachusetts Institute of Technology), Gordon Gammie(Texas Instruments (United States)), Mahmut E. Sinangil(Massachusetts Institute of Technology), Rahul Rithe(Massachusetts Institute of Technology), Jie Gu(Texas Instruments (United States)), A. Wang(Texas Instruments (United States)), H. Mair(Texas Instruments (United States)), Satyendra Datla(Texas Instruments (United States)), Bo Rong(Texas Instruments (United States)), Sushma Honnavara-Prasad(Broadcom (United States)), L. Ho(Texas Instruments (United States)), Greg Baldwin(Texas Instruments (United States)), D.D. Buss(Massachusetts Institute of Technology), Anantha P. Chandrakasan(Massachusetts Institute of Technology), U. Ko(Texas Instruments (United States))
IEEE Journal of Solid-State Circuits
November 17, 2011
Cited by 59

Abstract

Processors for next generation mobile devices will need to operate across a wide supply voltage range in order to support both high performance and high power efficiency modes of operation. However, the effects of local transistor threshold ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</sub> ) variation, already a significant issue in today's advanced process technologies, and further exacerbated at low voltages, complicate the task of designing reliable, manufacturable systems for ultra-low voltage operation. In this paper, we describe a 4-issue VLIW DSP system-on-chip (SoC), which operates at voltages from 1.0 V down to 0.6 V. The SoC was implemented in 28 nm CMOS, using a cell library and SRAMs optimized for both high-speed and low-voltage operating points. A new statistical static timing analysis (SSTA) methodology was also used on this design, in order to more accurately model the effects of local <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</sub> variation and achieve a reliable design with minimal pessimism.


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