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Zack Zheng, June 2019
当汽车遇到人工智能—AI & ADAS
Imagination Technologies, 2019 1
Confidential
2025 Automotive AI Total Revenue – 26.5Billion USD
简述预测的逻辑
HMI & Safety
Imagination Technologies, 2019
Display
© Imagination Technologies, 2019 3
PowerVR Hardware Virtualisation Solution Benefits
© Imagination Technologies, 2019 4
Silicon proven solution
Secure and Robust QoS through fine grain context
switching or clean stop Up to 8 VMs supported
in Hardware
OS & workload Prioritisation
Full isolation mechanisms
Wide range of 3rd party hypervisors fully supported
PowerVR profiling tool suite fully supported
True Hardware Virtualisation = No overhead and maximum utilisation of the underlying hardware
HMI: interactive trend
Perception Fusion Decision
© Imagination Technologies, 2019
Why PowerVR NNA
Neural Networks have high bandwidth and computation requirements
A dedicated architecture addresses both of these issues
Cost efficiency is an important factor in modern SoC designs
PowerVR NNA is designed to deliver the best performance per mm2
Extracting the best performance for the area budget
1x
10x
450x
850x
Performance Density
Mobile CPU
PowerVR 7XTP (GT7450) - FP32
PowerVR 2NX NNA - 16bit
PowerVR 2NX NNA - 4bit
1x
12x
106x
199x
Performance
PowerVR NNA Solution Comparison
© Imagination Technologies, 2019 6
7 来源：《高级驾驶辅助系统产业报告2018》- 盖世汽车研究院
中国汽车智能化数据预测
ADAS系统成本趋势变化（美元） ADAS渗透趋势预测
单位：万辆
Safety
© Imagination Technologies, 2019
ADAS/AD and Heterogeneous Computing
© Imagination Technologies, 2019 8
Enabling heterogeneous compute
© Imagination Technologies, 2019 9
PowerVR Compute SDK
SoC GPU NNA or NNA-F Other IP
GFX drv. NNA drv. Other drv.
Open GL ES VULKAN Open CL Other APIs
GFX SDK
Compute SDK
SYCL
IMG Libs
Lib APIs
Application
10 资料来源 BIS Research, IHS, MIIT, Broker Estimates
Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle
analysis from monocular image
Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry
Chateau SLAM-DeepLearning
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
Keisuke Tateno, Federico Tombari, Iro Laina, Nassir Navab CVPR2017
"FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks,” E. Ilg, N. Mayer, T. Saikia, M. Keuper, A. Dosovitskiy and T. Brox, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
FlowNet 2.0 Computing & flexibility trend
© Imagination Technologies, 2019
11
PowerVR computing flexibility Why GPU and Neural Network Accelerators provide the optimum solution
CPU
• Fully Flexible
• BUT inefficient and slow for high compute workloads
DSP
• Fully Flexible
• BUT hard to program – no standardisation, INT focussed
GPU
• Fully Flexible
• Standardised APIs for Compute, Float and INT support
Neural Network Accelerator
• Configurable
• Lowest power with domain specific flexibility
Fixed Function
• Single usage case
• Lowest power BUT zero flexibility
Best partners
© Imagination Technologies, 2019
PowerVR 3NX, Best Performance / power / Area Upto 160Topsps / 20Watt
© Imagination Technologies, 2019 12
0.6 TOPS
AX3125
1.2 TOPS
AX3145
2.4 TOPS
AX3365
5 TOPS
AX3385
10 TOPS
AX3595
20 TOPS
UH4X40
40 TOPS
UH4X40
80 TOPS
UH8X40
160 TOPS
UH16X40
PERFORMANCE
TOPS
Wearables
Automotive Industry Trends
Digital Cockpit/HMI ADAS Autonomy
Cluster
Cluster + IVI
Cluster + IVI + HUD + Multiple other screens
Lane departure
1K
Pixels
2K
Pixels
8K+
Pixels
10
GFLOPS
100+
GFLOPS
Level 3
Level 4
Level 5
100+
TOPS
10
TOPS
Incre
asin
g p
erf
orm
an
ce
/ p
roce
ssin
g
requir
em
ents
Surround view
Voice &.
Gesture control
Increasing safety and reliability requirements
Corresponding shift in GPU & NNA requirements
Imagination Technologies, 2019 13
GPU and GPU Compute CNN Accelerators
Use Case Graphics example Compute example
Graphics
safety
requirement
Compute safety
requirement
Human Informational [Display or computation, that
provides driver with information]
Infotainment (IVI)
Navigation
Clusters/Dials
Heads Up
Display(HUD)
Road sign detection
Route Augmentation
Human Reactive (ADAS) [Display or computation that
provides the driver with
information for which an
immediate response may be
required]
Clusters/Dials
Surround View
Heads Up
Display(HUD)
Human Machine
Interface (HMI)
Lane departure
warning
Driver Monitoring
Full Machine Autonomy [Computation which provides
input to the vehicle to operate
independently of human input]
Journey / Vehicle status
Multimedia
Entertainment/Business
Connectivity
Autonomous driving
Auto Pilot
Fuzzy boundaries, often no clear distinction, may require operational isolation
Functional Safety Trend
QM
AS
IL B
QM
A
SIL
D
AS
IL B
QM
Imagination Technologies, 2019 Confidential 14
Over a decade of supplying IP into leading players in automotive silicon
5 generations of GPU integrated into vehicles
Continuously evolving our quality and safety culture to enable efficient partnerships in achieving Functional Safety (ISO26262)
Strong ecosystem to support key applications and services
Ability to move with faster design cycles coming into automotive
Can enable new entrants to compete with established players
Experience matters for Automotive
Imagination’s Pedigree In Automotive
Imagination Technologies, 2019 15
Infotainment / Cluster Cluster Surround View
Cluster / Infotainment
Renesas (Licensee since 2004) Multiple generations of PowerVR graphics cores
Number 1 Automotive application processor – 48% (2016)
R-Car Gen1 Family (2011) Series5 SGX531 (E1), SGX540 (M1A & E2)
R-Car Gen2 Family (2013) Series5XT SGX543MP2 (H1) & SGX544MP2 (M2)
Series6 G6400 (H2)
R-Car Gen3 Family (2015-19) Series6XT GX6250 (M3/L) & GX6650 (H3)
Series7XE GE7800 (M3N)
Series8XE GE8300 (E3 & D3)
Texas Instruments (Licensee since 2005) Licensing for mobile and automotive for over a decade
Automotive family TDRAxx (Jacinto) came out of mobile (OMAP) family
DRA5x, DRA6x and DRA7x (SGX543, SGX544MP2)
Socionext (Licensee since 2004) MB86R2x Series5 SGX531
SC1810 Miranda SoC Series8XE GE8300
Enabling families of leading infotainment and ADAS solutions
PowerVR History In Automotive
Imagination Technologies, 2019 16
Multiple projects (with both existing & new customers) in advanced stages, multiple SoCs to be announced within this year
Safety Supports
PowerVR has a history of long term support
Driven by Automotive and Industrial markets
Supporting
Semiconductor companies
Hardware design in
Hardware bring up
Software porting and development
Software bring up
Direct to OEM
Optimizing GPU efficiency on device
Developers and partners, API development
New OS porting
Application debug and optimization
Long term support packages available
Supporting cores in excess of 10 years old
Providing regular updates to support key
operating systems
© Imagination Technologies, 2019 17
Long term support available, support for semiconductor companies, OEMs and partners
