講演者：生嶋 孝之 氏 インテル株式会社 プログラマブル・ソリューションズ事業本部 シニア・マネージャー プロフィール 米半導体メーカー（Intel, Altera）に14年間勤務するマーケット・デベロップメントのエキスパート。 日本で車載FPGAの市場を立上げ、その後米国本社に異動しマネジメントを経験。 現在はグローバルの車載セグメント・マネージャと日本の産業機器マーケット・デベロップメント・マネージャを兼任。 DLS公式サイト：https://edls.leapmind.io/

1. EdgeAIwithIntel®FPGAs
February 27, 2019
Tak Ikushima
Sr. Manager, Industrial & Automotive Business Group
Intel Programmable Solutions Group

2. 2© 2019 Intel Corporation. 無断での引用、転載を禁じます。
LegalNoticesandDisclaimers
Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system
configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at www.intel.com.
This document contains information on products, services and/or processes in development. All information provided here is subject to change without notice. Contact your Intel
representative to obtain the latest forecast, schedule, specifications and roadmaps.
Any forecasts of goods and services needed for Intel’s operations are provided for discussion purposes only. Intel will have no liability to make any purchase in connection with forecasts
published in this document.
Results have been simulated and are provided for informational purposes only. Results were derived using simulations run on an architecture simulator or model. Any difference in system
hardware or software design or configuration may affect actual performance.
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are
measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other
information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more
complete information visit www.intel.com/benchmarks.
INFORMATION IN THIS DOCUMENT IS PROVIDED “AS IS”. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY
THIS DOCUMENT. INTEL ASSUMES NO LIABILITY WHATSOEVER AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO THIS INFORMATION INCLUDING LIABILITY OR
WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT.
Intel, the Intel logo, Intel Inside, the Intel Inside logo, Intel Atom, Intel Core, Movidius, Iris, Nervana, OpenVINO, Xeon ARRIA, CYCLONE, MAX, QUARTUS & STRATIX are trademarks of Intel
Corporation or its subsidiaries in the U.S. and/or other countries.
*Other names and brands may be claimed as the property of others.
© Intel Corporation

3. 3© 2019 Intel Corporation. 無断での引用、転載を禁じます。
TheFloodofDataDrivingEdgeCompute
Devices /
Things
Smart
Buildings
Manufacturing
Transportation
Energy
Video
Healthcare
Smart
Cities
Public Sector
Retail
Logistics
Core
Network
Cloud
Data Center
Network Hub or
Regional Data Center
Edge
Compute Node
Driversforedge
Latency,Bandwidth.
Security,Safety
Availability,TCO
By20201
Average
internetuser 1.5GB data/day
Smart
hospital 3TB data/day
Autonomous
automobile 4TB data/day
Connected
airplane 40TB data/day
Smart
factory 1PB data/day
1. Amalgamation of analyst data and Intel analysis

4. 4© 2019 Intel Corporation. 無断での引用、転載を禁じます。
WhyFPGAsWINinDeepLearning
Enabling Real-time AI in a Wide Range of
Embedded, Edge, and Data Center Applications
Time to Market to
Accelerate Evolving AI
Workloads
▪ Precision
▪ Latency
▪ Sparsity
▪ Adversarial Networks
▪ Reinforcement Learning
▪ Neuromorphic Computing
▪ …
Low Latency Memory
Constrained
Workloads
▪ RNN
▪ LSTM
▪ Speech
Delivering AI+ for Flexible
System Level Functionality
▪ AI+ I/O Ingest
▪ AI+ Networking
▪ Ai+ Security
▪ Ai+ Pre / Post Processing
▪ …

5. 5© 2019 Intel Corporation. 無断での引用、転載を禁じます。
ProjectBrainWave
Claims on this page are provided by Microsoft Corporation. Intel does not control or audit third-party data. You should review this content,
consult other sources, and confirm whether referenced data are accurate.
https://www.microsoft.com/en-us/research/project/project-brainwave/

6. 6© 2019 Intel Corporation. 無断での引用、転載を禁じます。 6
AdvantagesofBrainWaveinDeepLearning
Courtesy of Microsoft Corporation
https://www.microsoft.com/en-us/research/project/project-brainwave/

7. 7

8. © 2019 Intel Corporation. 無断での引用、転載を禁じます。
Industry4.0
SMART
Limitedhumanintervention
Scalable
Systemlevelintelligence
Drivingfactors
I/OFlexibility
Deterministiclatency
Safety&Security
Intelligentoperations
8

9. 9© 2019 Intel Corporation. 無断での引用、転載を禁じます。
FPGAUseCasesforIndustrial
CONNECT AUTOMATEDSMART
Real-timeConnectivity
Safetyandsecurity
Analytics
Safetyandsecurity
Analytics
Acceleration
TSN FSDP
TSN FSDP
OpenCL*
TSN FSDP
OpenCL* OPC-UA DeepLearningOPC-UA
Connect the Unconnected
Minimize Infrastructure Change
Keep Pace with Evolving TSN Standards
Real-time Analysis of Data
Workload Consolidation
Lower Data Management Costs
CPU Off-load acceleration Intel® FPGA
Intel® Distribution of OpenVINOTM Toolkit
Full Software Stack support
OpenVINO™
Real-timeConnectivity Real-timeConnectivity

10. 10© 2019 Intel Corporation. 無断での引用、転載を禁じます。
Steps for development
Safety Requirement Specification
Qualification of Used Devices and Tools
Implementation of Safe Functionality
Development of Hardware / Software
Implementation of Safe Diagnostic Functions
Certification by TÜV
SafetyisNotOptional!
• SIL3 compliant Tool-flow
• IEC 61508 Certification from TÜV
• Safety Manual
• FMEDA
• Diagnostic IP
Time saved = Cost saved
with Intel® FPGAs
Without
Compliance
With
Compliance
Development Time
Intel®FPGAIndustrialFunctional
SafetyDataPackage(FSDP)

11. 11© 2019 Intel Corporation. 無断での引用、転載を禁じます。
BoardSpaceLatency Power
ChallengesforIndustrialEdgeAI
Functional
Safety
Longevity Operating
Condition

12. 12© 2019 Intel Corporation. 無断での引用、転載を禁じます。
Award-Winning*EdgeAISolutionbyLeapMind
1-bit Quantization and Compression Technology and Tool
Chain for Embedded Deep Learning
• Real-time Response, Low Latency
• Lower Power, Small Footprint
• No Internet Connection Required
Application Example:
• Food Inspection
• PCB Soldering Inspection
• Human Detection
• Powerline Inspection by Autonomous Drone
*Leapmind’s DeLTA family received ET Technology Award 2018 in Tokyo

13. 13© 2019 Intel Corporation. 無断での引用、転載を禁じます。
Intel®AIBuildersProgram
https://builders.intel.com/ai
®

14. 14© 2019 Intel Corporation. 無断での引用、転載を禁じます。 14
Summary
AccelerateEdgeAIwithIntel®FPGAs

15. 15