Compute solutions for mass deployment of autonomy

Transcription

1 Compute solutions for mass deployment of autonomy Rod Watt Director of Vehicle Architecture and System Analysis

2 Introduction 2

3 From inception to now 1990 Joint venture between Acorn Computers and Apple. Today Now all electronic devices can use intelligent Arm technology. Designed into first mobile phones and then smartphones onwards 3

4 Arm: the Industry s Architecture of Choice Extraordinary growth from sensors to server 50 billion 100 billion 50 billion chips shipped chips shipped chips expected to ship 4 years 4 years years

5 The architects of global possibilities 1,590 licenses, growing by >100 every year The global leader in the development of licensable technology - R&D outsourcing for semiconductor companies Focused on freedom and flexibility to innovate - Technology reused across multiple applications With a partnership based culture & business model - Licensees take advantage of learnings from a uniquely collaborative ecosystem 125bn Arm-based chips shipped to-date 500+ licensees 21bn Arm-based chips shipped in FY2017 Industry leaders and high-growth start-ups; chip companies and OEMs 16 Top automotive chip makers license Arm IP 5

6 Arm in Automotive, bumper to bumper Continuously supporting the automotive market since 1996 >85% share of IVI application processors Powertrain Body IVI / Cockpit ADAS / Autonomous Connectivity 6 >65% share of ADAS application processors 80% Share of ADAS + IVI application processors

7 Almost 80% of automotive innovation comes from electronics (semiconductors) and software OEM 7

8 ADAS evolving to Autonomy ADAS Autonomous Level 1 Level 2 Level 3 Level 4 Level 5 Driver Assistance Partial Automation Conditional Automation High Automation Full Automation Everything On Feet Off Hands Off Eyes Off Mind Off

9 The Pace of Drive to Autonomy AV Adoption curve by ADAS level in % of global new car sales 9

10 The Challenges to Autonomy 10

11 Deployable Autonomy High Performance Compute Power Consumption Thermal Constraints Complexity Security 11 Cost Making efficient, on-board autonomous compute possible Safety

12 High Performance Compute Server in the Trunk High Performance Compute Current Autonomous Levels are reaching L3 for 2019 Companies are racing to build L3+ systems for prototype deployment in 2021/2022 First mass production of L3+ autonomous vehicles are likely 2025 True mass deployment needs server compute performance, with massively reduced power consumption, pizza box size and deployable thermal properties Not just a server in a trunk! By Steve Jurvetson - originally posted to Flickr as Junk in the Trunk, CC BY 2.0, 12

13 Power and Thermals - Operating within a budget Power Consumption Thermal Constraints 3kW System Power 13

14 Complexity - Cars Run on Code Complexity F Windows 10 US Army future combat system Facebook Luxury car in 2010 (IVI) 100 Luxury car in 2016 (+ADAS) 150 Luxury car in 2020 (L3 autonomy) 300~ All Google services 2000 Million lines of code 14

15 Security Protecting the Vehicle Security Communication attacks Man in the middle Weak RNG Code vulnerabilities Physical attacks Fault injection: clock or power glitch, alpha particles Side channel analysis Probing, FIB Lifecycle attacks Code downgrade Excess manufacturing Integrity vulnerabilities Software attacks Buffer overflows Interrupts Malware 15

16 Cost - The price tag for autonomy Cost $75k 5x reduction in cost needed $1k $15k AV costs $29k $25k $25k Base car cost Average Vehicle Today L4/5 AV 2020 Prototype L4/5 AV in 2030E Source: UBS and Arm Estimates 16

17 Safety The barrier to adoption Some languages are great in making the distinction difficult: 安全, sécurité, Sicherheit, säkerhet, turvallisuus, i.e. not all languages differentiate between safety and security in terminology Safety Security Environment Safety System under consideration Security Protecting what s inside the box Safety Protecting what s outside the box 17

18 Potential Solutions 18

19 Requirements: From IP to system IP supplier IP integrator e.g. MCU designer Tier 1 designer Automotive OEM Requirements, assumptions ISO ISO ISO ISO Supporting documentation (evidence) Applicable requirement Not applicable requirements 19

20 Safety Ready: Safer solutions, faster time to market Reduces design effort Accelerates deployment Eases certification to ISO26262 Accelerating time to market for the whole automotive supply chain 20

21 Safety Ready Products 21

22 Cortex-A76AE: World's first autonomousclass processor with integrated safety Autonomous-class performance >250 KDMIPS <30W SoC <15W Compute Complex * 22 First application processor with Split-Lock Developed for automotive use cases Safety capable to industry standards ISO26262 ASIL D systematic Best-in-class performance per watt *16 core Cortex-A76AE configuration with CMN-600AE at 7nm Game-changing safety innovations optimized for 7nm

23 Split-Lock: Split for performance, Locked for safety Processors locked for safety Processors split for performance 23

24 Split-Lock: Flexibility for multiple applications Two cores run the same instructions Each operation is checked Lock for safety Giving a higher level of safety Without increased software complexity 24

25 Split for availability!! 1: Processors locked for safety 2: Split available in case of error 25

26 Flexible software implementations for safety from Arm Non-safe and ASIL B applications Mixed criticality applications ASIL D applications Lock is transparent to software Operating System(s) Safety RTOS Safety certified hypervisor Split Clusters 16 core Cortex-A76AE SoC Locked Clusters 26

27 Delivering 1 billion lines of code Sense Perceive Decide Actuate Sensor Fusion Perception Localization Planning Maps Control Middleware Operating System/Hypervisor SECURITY PLATFORM COMMUNICATION Ubiquitous compute architecture 27

28 Supported by a proven Arm software automotive ecosystem Commercial Sensor Fusion Perception Localization Open Source Planning Maps Control Middleware Operating System/Hypervisor SECURITY PLATFORM COMMUNICATION Ubiquitous compute architecture 28

29 Platform Security Architecture (PSA) A recipe for building secure systems from analysis to implementation Analyse Threat models and security analyses PSA documents Architect Firmware architecture & hardware specifications Implement Source code & hardware IP Enabling products & contributions 29

30 Architecture incorporating common principles A recipe for building a secure system From analysis to architecture Identify key common principles Device identity Trusted boot sequence Secure over-the-air software update Certificate based authentication 30 Common principles across multiple use cases

31 PSA deliverables Security architecture derived from principles Security analyses ECU ABS TMPS Firmware specifications Hardware requirements Firmware framework Secure update Boot sequence RNG Secure storage Crypto 31

32 Summary 32

33 Closing Complexity of automotive systems is growing at an unprecedented rate Key complexity drivers are ADAS-> Autonomous, Digital Cabin Experience, Connected Car Processing has to keep pace with this growth without compromising : Power Consumption Thermal properties Size and Cost Safety and Security Arm technology along with our partners is the enabler to bring these new functions to mass market 33

34 Thank You Danke Merci 谢谢ありがとう Gracias Kiitos 감사합니다 ध व द תודה 34

35 The Arm trademarks featured in this presentation are registered trademarks or trademarks of Arm Limited (or its subsidiaries) in the US and/or elsewhere. All rights reserved. All other marks featured may be trademarks of their respective owners. 35