SOI based platforms for IoT optimized Applications. Director

Transcription

1 SOI based platforms for IoT optimized Applications Carlos Mazure Executive Director Director Giorgio Cesana Executive Co-

2 Agenda SOI Consortium in a nut shell IoT opportunities and challenges FD-SOI Solutions RF-SOI Solutions More than Moore Solutions and Opportunities Takeaways 2

3 SOI Consortium at a Glance An industrial, non-profit consortium representing the complete SOI based microelectronics value chain: Digital, RF, Power, Si Photonics, Imagers, MEMS Mission: Focus on application platforms and required ecosystem Market application technology supply chain

4 IoT market: one size doesn t fit all Very fragmented Very different requirements per application Source : GSA/McKinsey report on IOT

5 Data Transmission Increase leads to an Energy Dilemma Centre for Energy Efficient Telecommunications University of Melbourne June Wireless data transmission power efficiency: Serial short reach link: best results ~ 0.5 pj/bit LTE: between 300 and 600 µj/bit *WW Elec in 2015 ~ TWh 5

6 IoT to generate a Data Deluge source IDC: 1250 Billion GB of data generated Generated data is sensor dominated Storage capacity growing 30% slower than generated data How much energy to transfer & process one YottaByte? 6

7 Energy Production vs. IoT Energy Consumption Low Power Technologies are a must for the IoT Market Development Energy WW Energy Production 2020? WW IoT Energy Consumption Time 7

8 SOI Solutions for the IoT Energy Dilemma The SOI platforms offer key solutions to face the growing IoT energy hunger. FDSOI for ultra low power computing, analog/mixed signal, RFSOI for energy efficient data transmission Power SOI for efficient power management Photonics for low energy wired data transmission MEMS SOI for efficient on chip sensor co-integration 8

9 Sensor Hub: Process, Transmit, Ultra Low Power All IoT devices are connected with computing, sensing, power management, memory capability, an energy supply source and dependent of their overall power consumption Wireless connectivity LTE, WIFI, BT APU Memory Power Mgt Sensors Networking Wireless connectivit y WIFI, BT, LTE MPU, MCU Memory Power Mgt Sensors (MEMS, radar, camera) Wireless connectivit y APU, MCU Memory Power Mgt Sensors 9

10 FD-SOI 10

11 The Ultra Low Power Ecosystem: FDSOI Adopters Public Domain Foundries IP Tools & EDA Substrates R&D 11

12 28nm FD-SOI Mass Production Platform

13 GlobalFoundries 22FDX Platform 22FDX Platform Extensions 22FDX Base Platform 4 Core Vts 2 IO 1.2/1.5/1.8v Passives SRAMs (HD, HC, LV, ULV, TP) 8T/12T libraries Software controlled Forward/Reverse body-bias Base platform PDK & IP -ulp adds logic libraries and memory compiler optimized for 0.4v logic operation -ull adds devices, libraries, and memory compilers to achieve 1pA/um leakage -uhp adds optimized BEOL stacks, 12T libraries optimized at OD, high-speed SERDES (16/28GHz), and MIM capacitor -rfa adds RF enablement, BEOL passives, and IP for BTLE, WiFi Application-optimized extensions GLOBALFOUNDRIES Confidential 14 13

14 Neutron-SER in FT/Mb FD-SOI: Radiation Robust Robustness Benefit 20 Experimental Failure-in-Time (FIT) test data SER Gain w.r.t. BULK FinFET Alpha Neutron nm FD-SOI Latchup immune not reported ECC not mandatory Power and Area saving High Latch-up Immunity ST 65nm Bulk Vendor A 45nm Bulk ST 45nm Bulk Vendor A 28nm Bulk ST 28nm Bulk ST 28nm FD-SOI Larger Integrated Memory Rad-hard designs simpler FD-SOI provides a more reliable platform for mission critical operation ISS Europe March 2016

15 ULP enabled at 0.4V Power Supply ARM Cortex A7 Implementation Initial results Freq. (MHz) 22FDX is the First Technology to demonstrate 0.4V operation capability at >500Mhz on an ARM A7 Processor % Faster + 18% Less Power FinFet like Performance (1.2Ghz) 50% faster performance and 18% lower power than 28HKMG FDX@0.4v 47% Less Power 47% lower power than 28HKMG at Iso- Frequency FDX at 0.4v Total Power (mw) 92% Less Power at 520MHz (wrt 28HKMG at 800MHz) Source: Verisilicon GLOBALFOUNDRIES 13 15

16 Example of wearable application: GPS 20mW x20 Standard GPS on the market 1mW Sony Next Gen on FD-SOI On-Chip enabled functionality (RF, logic and SRAM) operating at 0.6V, instead of 1.1V Source: EETimes, Sony Joins FDSOI Club, 30 Jan

17 Ciena at SOI Forum San Francisco, Feb 2015 Promises Reality Power Significant power reduction Analog performance Improved analog performance Reduced mismatch Improved timing matching Faster technology Cost reduction Significant reduction in design cycle 17

18 IoT Pervasive Computing Video analytics Processor for Smart Car 23 FD-SOI - SoC Camera Processing Embedded Memory FD-SOI Soft Error Rate (SER) allows for less overhead in memories for error correction 5 W SoC Power Consumption Quad Core CPU Video Analytics Processing 4 W 3 W Strict Safety Criteria met without systematic Usage of lockstep CPU operation Less use of redundant standard cell Due to lower SER Bulk 28nm Full lockstep CPU FD-SOI 28nm Full lockstep CPU FD-SOI 28nm Optimized safety architecture Power limit for mounted video analytics systems in a car ~3 Watts ISS Europe March 2016

19 Smart watch case study GlobalFoundries FD-SOI webinar June

20 NXP Two i.mx Platforms already on FD-SOI 20

21 RF-SOI 21

22 SOI Wafer supplies SOI Foundries FEM Manufacturers Chipset Makers RF-SOI: A well established Ecosystem 22

23 Million pieces RF-SOI technology in ALL smartphones SOI RF-SOI Mainstream in switch GaAs Bulk SOS Source: Navian Dec

24 RF-SOI Solution for FEM Source: GF, RF-SOI Workshop Shanghai, Sept

25 RFSOI new applications: IoT, LTE adv, mmwaves Source: Skyworks, RF-SOI Workshop Shanghai, Sept

26 More than Moore 26

27 Source: SOI Applications: an overview and some examples, Adele Hars, ASN, Shanghai, March 2015 SOI in Automotive: a long history 27

28 SOI for Power in Automotive Source: NXP, SOI Consortium Dresden Workshop, July

29 Source: SOI Applications: an overview and some examples, Adele Hars, ASN, Shanghai, March 2015 SOI in SmartPower 29

30 SOI for Si Photonics & Imagers Source: SOI Workshop,Tokyo, Jan

31 SOI for MEMS & NEMS Source: Leti-CEA, SOI Workshop, Tokyo, Jan

32 Takeaways IoT devices will cause major market disruptions and enable new applications SOI technologies & ecosystems FD-SOI: Energy efficiency and Analog/Mixed Signal cooptimized solutions for IoT RF-SOI: Energy efficiency, RF performance, cointegration for mobile FEM and IoT connevtivity Silicon Photonics: Low power Data Center Bandwidth SOI MEMS, Time of Flight, etc enable co-integration, new applications 32

33 Save the date for our next workshops! Registration at: Date Location Topics Apr 13, 2016 Stanford University California, USA 1-day Symposium on FD-SOI Sept, 2016 Oct 10-13, 2016 Shanghai, China S3S Conference San Francisco, California, USA 2-days workshop FD-SOI, RF-SOI SOI Consortium Session Oct 25-27, 2016 Semicon Europe, Grenoble, France SOI Consortium Session 33

34 Thank you! 34