Semiconductors : Accelerating Technologies for Intelligent Applications. Zhiyong Han, General Manager, China Sales

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1 Semiconductors : Accelerating Technologies for Intelligent Applications Zhiyong Han, General Manager, China Sales

2 Technology Effects are Accelerating 2

1 Million Videos Viewed 40,000 Hours Listened 342,000 Apps Downloaded 46,200 Posts Uploaded 452,000 Tweets Sent 990,000 Swipes 156 Million Emails Sent Source: BLN, Recode, Cisco Visual Networking

3 Today s Explosion of Data is Amazing 70,017 Hours Watched $751,522 Spent Online 1.8 Million Snaps Created 3.5 Million Search Queries 15,000 GIFs Sent via Messenger Content & Usage 900,000 Logins 120 New Accounts Created 50 Voice-First Devices Shipped 16 Million Text Messages 4.1 Million Videos Viewed 40,000 Hours Listened 342,000 Apps Downloaded 46,200 Posts Uploaded 452,000 Tweets Sent 990,000 Swipes 156 Million s Sent Source: BLN, Recode, Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, White Paper, Tubular Insights Traffic & Transport >75% of global mobile data traffic will be video content 7 Trillion video clips will be uploaded (2.5 daily/person) 432M global WiFi hotspots (inc household) 4G connectivity share to surpass 3G 2010: 2 ZB, 9% Storage & Analysis Information Creation is Accelerating* 1 Zettabyte ~ 250 billion DVDs 2015: 12 ZB, 9% 2020: 47 ZB, 16% *Data Volume and % Structured/Tagged 2025E: 163 ZB, 36% Derived from IDC DataAge 2025 study, sponsored by Seagate (3/17); zettabyte-era-infographic Note: 1 petabyte = 1M gigibytes, 1 zettabyte = 1M petabytes CLIENTS NETWORKS DATA CENTERS 3

4 Technology Innovation Continues To a New Era Sensors More Performance Pixels /Display Analog/Voice CLIENTS Camera Algorithms Compute RF Deep Learning DATA CENTERS NETWORKS Bandwidth More Data/Analysis More Bandwidth Predictability Processing Analytics Storage 4

5 Differentiated Technologies for Your Market Segments and Applications Performance CLIENTS FDX (FD-SOI) = + Analog/ Power FinFET But, to be Meaningful DATA CENTERS Data/Analysis NETWORKS Bandwidth Data Must Lead to Real-Time, Actionable Insights RF SOI ASICs Silicon Photonics 5

6 GLOBALFOUNDRIES CMOS Roadmap Redefines Mainstream Applications: - Servers - HPC - Graphics - High-end AP - Core networking - Auto high-end ADAS High Performance Computing 7nm FinFET Wireless, Battery-Powered Computing 12FDX TM envm Applications: - Low & mid AP - IoT - Autonomous vehicles - Mobile camera Volume Tier Premium Tier Features: - High-performance - balanced-cost 14nm FinFET 22FDX emram Features: - Low-power - cost-effective performance - High Performance RF and mmwave - Embedded memory 28nm 40/55nm 6

22FDX is clearly leading in Performance, Power, Area and Maturity GF s 22FDX is the most radical

7 22FDX Leading 22nm Platform The 22nm node is now becoming one of the biggest battlegrounds in semiconductors. 22FDX is clearly leading in Performance, Power, Area and Maturity GF s 22FDX is the most radical departure from the main stream but also likely delivers the best density, RF and power performance. SemiWiki.com, April 2017 Source: dated April 3,

8 22FDX Platform + Extensions Offerings for Key Segments / Applications RFCMOS & mmwave: 4G/5G WT, radar, connectivity envm - BEOL MRAM: MCU, IoT, Auto Auto: Grade 2/1 & PPM: MCU, ADAS, IVI, Radar ULP: libs and low Vdd (0.4V): low power/mobile applications ULL: pa/um leakage, libs and memories: IoT markets Devices: 4 Core Vts + elvt 2 IO 1.2/1.5/1.8v Passive & LDMOS (3.3v, 5.0v) Low-power: 0.6v to 0.8v Vnom Memories: HD, HC, LV, TP Body-bias enabled reference flow 22FDX Base Platform Libraries: 8T-HD (high density) 12T-HP (high perf) 8

9 22FDX : Qualified Today for Volume Production Transition from Technology Qualification (M6) Pass into Volume Production (M7) Phase Customer Product Enablement Technology Qualification Device Performance and D0 targets Manufacturability: Driver Product Yield PDK 1.1 Standard Cell Libraries Memory Compilers Application-optimized IP Interface IP Validated EDA Design Flows Forward Body Bias Product Proven FDXcelerator Ecosystem Delivered Qualification Milestone Achieved March 15th 2017 Total schedule deviation <3% from start of technology development Yield Step-up plan proceeding per plan Development of Product Line Extensions are underway (RF, mmwave, MRAM) 9

22FDX for IoT 22FDX Application 300 MHz to 1 GHz+ for ARM cores Technology Capabilities Value Power versus 40nm: Logic: 80% lower total power; operation down to 0.4v Memory: 1pA/cell standby & 0.

10 22FDX for IoT 22FDX Application 300 MHz to 1 GHz+ for ARM cores Technology Capabilities Value Power versus 40nm: Logic: 80% lower total power; operation down to 0.4v Memory: 1pA/cell standby & 0.28v retention voltage RF LDMOS for integrated PA and switch IP: BLE/15.4, Wi-Fi, Cellular LTE, Cat M/NB-IoT Body-Bias for power management emram for non-volatile memory Mobile, battery powered IoT clients with ULP/ULL and integrated RF and Embedded memory 10

ADAS Applications on 22FDX : Vision Processing, AI ADAS

project 1 st Si fabricated on GLOBALFOUNDRIES 22FDX

Arteris, INVECAS, GLOBALFOUNDRIES Targeted use-cases: 360

Object/Pedestrian Detection May 2017 CDNLive EMEA

Cadence Tensilica Vision P6 Digital Signal Processor

(System-On- Module) with SoC and two LPDDR memories June

demonstration at Leti Innovation Days in Grenoble, France

11 ADAS Applications on 22FDX : Vision Processing, AI ADAS computer vision SoC developed for European THINGS2DO project 1 st Si fabricated on GLOBALFOUNDRIES 22FDX Platform Collaborators: Dream Chip, ARM, Cadence, Arteris, INVECAS, GLOBALFOUNDRIES Targeted use-cases: 360 degree Top View Camera Digital Mirroring Video Analytics Object/Pedestrian Detection May 2017 CDNLive EMEA (Munich) Demonstrated 720p50 running from a GoPro through Cadence Tensilica Vision P6 Digital Signal Processor (DSP) Feb 2017 MWC Barcelona 1 st Si chip carrier (System-On- Module) with SoC and two LPDDR memories June 2017 Pedestrian / Object detection use-case : Early-stage demonstration at Leti Innovation Days in Grenoble, France AIMotive, VeriSilicon, and GF announced an aiware-based AI solution for Autonomous Driving 11

12 Ecosystem Partnered for Growth Reduce time to market and facilitate FDX SoC product design Easy access to plug and play solutions Minimizes customer development costs Lowers barriers of migration Design Services OSAT EDA IP Embedded Software ASIC System IP 12

FDX (FD-SOI) : Made in China Innovating in China GF Building New 12-inch Fab in Chengdu, China Strategic, long-term JV

the FDX Ecosystem for Chinese chip designers and > 500 engineering jobs to support companies designing products using FDX

next-generation IoT Networks Announced this week University partnerships across China to develop FD-SOI coursework,

Cellular LTE Cat M/ NB-IoT IP to enable customers to to create a complete cellular modem module on a single chip,

13 FDX (FD-SOI) : Made in China Innovating in China GF Building New 12-inch Fab in Chengdu, China Strategic, long-term JV partnership with the Chengdu government on 22FDX to enable IP, EDA and design services GF and Chengdu Partner to Expand the FDX Ecosystem for Chinese chip designers and > 500 engineering jobs to support companies designing products using FDX For key applications in Mobile, 5G, IoT, Automotive GLOBALFOUNDRIES and VeriSilicon to Enable Single-chip solution for next-generation IoT Networks Announced this week University partnerships across China to develop FD-SOI coursework, research programs, design contests and the local talent pool to fuel China industry Connectivity solutions: Short-range, Cellular LTE Cat M/ NB-IoT IP to enable customers to to create a complete cellular modem module on a single chip, including integrated baseband, power management, RF radio and front-end module combining both Narrowband IoT (NB-IoT) and LTE-M capabilities 13

14 is the leader in

Revolutionizing RISC-V based application design possibilities with GLOBALFOUNDRIES. Gregg Bartlett Senior Vice President, CMOS Business Unit

Revolutionizing RISC-V based application design possibilities with GLOBALFOUNDRIES Gregg Bartlett Senior Vice President, CMOS Business Unit RISC-V: Driving New Architectures and Multi-core Systems GF Enabling