Participants Will Discuss Processor IP, Software, and Programming Tools to Address Design Challenges in Artificial Intelligence, Automotive Safety, IoT, and Embedded Vision Applications

WHEN: Tuesday, September 11 from 8:30 a.m. to 6:30 p.m.

WHERE:  DoubleTree by Hilton Hotel, 2050 Gateway Place, San Jose, CA 95110

REGISTER: www.synopsys.com/ARCsummit

Synopsys, Inc. (Nasdaq: SNPS), will host a free one-day conference focused on the latest technologies and trends in processor IP, software development and programming tools optimized for use in embedded devices. In this multi-track event, ARC^® processor users, ecosystem partners and Synopsys experts will discuss how to address a wide range of design challenges with the latest hardware and software solutions for low-power and high-performance embedded applications. Following the sessions, participants will have the opportunity to network with fellow attendees, ARC partners, and Synopsys staff, as well as see a variety of live partner and Synopsys demonstrations showcasing solutions for embedded vision, deep learning algorithms, IoT, security, automotive safety, trace, and debug.

The ARC Processor Summit will open with a morning keynote presentation by Satyen Yadav, General Manager, IoT Ecosystem Development at Amazon Web Services, who will describe "Life on the 'Edge'".

Register now at:   www.synopsys.com/ARCsummit

PRESENTATION TOPICS INCLUDE:

Automotive Track

• The Marriage of AI and Safety in Automotive SoCs
• Reducing the Total Cost of Ownership with Classic and Adaptive AUTOSAR
• Personalize the In-Cabin Experience with Face Recognition and Inference of Driver Emotional States
• Taming AI Using Convolutional Neural Networks with Compression and Pruning
• Optimizing Deep Learning Perception Software for ADAS and Autonomous Driving
• Functional Safety Certification—Your Advantage
• Extending Control and DSP Performance for Automotive Radar Applications 

IoT/Digital Home Track

• Addressing the Challenges of Always-on IoT with Efficient Processors for Machine Learning
• Implementing Artificial Intelligence in Embedded Vision, IoT, and Smart Home Applications
• Fast and Ultra-Low Power Graphics Development for Mobile & Embedded Systems
• Securing Mobile IoT from Chip to Cloud with Integrated SIM Solutions 
• Streaming Low-Power Audio to "Hearable" Devices Using Bluetooth 5
• Deploying NB-IoT Communication Solutions with Extensible Processors
• Reducing Dynamic Power and Time-to-Tapeout for High-Performance AI Processor SoCs

Mobile/Storage Track

• Using Trace Visualization for Efficient Debugging of Embedded Systems
• High-Performance Solutions for Next-Generation SSD Designs
• Easing Complex Application Development with Processor and System Trace Resources
• Enabling Ultra-High-Performance, Low-Power 5G Modem Designs with Heterogeneous Multicore Systems
• Accelerating Group Theoretic Cryptography with ARC APEX Instructions
• Building an Embedded Vision Application with a Caffe CNN Model and OpenVX
• Accelerating AI/Neural Network Performance While Reducing Power in Android Devices

About Synopsys

Synopsys, Inc. (Nasdaq: SNPS) is the Silicon to Software^™ partner for innovative companies developing the electronic products and software applications we rely on every day. As the world's 15^th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software security and quality solutions. Whether you're a system-on-chip (SoC) designer creating advanced semiconductors, or a software developer writing applications that require the highest security and quality, Synopsys has the solutions needed to deliver innovative, high-quality, secure products. Learn more at www.synopsys.com.

Editorial Contact:
Norma Sengstock 
Synopsys, Inc. 
650-584-4084 
norma@synopsys.com 

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SOURCE Synopsys, Inc.