Processor Solutions for Automotive, Industrial and Consumer Edge Applications
Tuesday, Februrary 18, 2020
Synopsys Irvine Office
10:00 am to 5:00 pm
Thursday, Februrary 20, 2020
Synopsys San Diego Office
10:00 am to 5:00 pm
Join us for this free seminar where we will focus on processing, securing and transmitting such intelligence in a variety of vertical markets such as automotive, industrial or consumer products for applications at the edge or in the cloud.
Synopsys Irvine Office 20 Pacifica, Suite 150
Irvine, CA 92618
Tuesday, February 18th, 2020
10:00 am – 5:00 pm PT
As embedded systems become more complex and integrate greater functionality, designers are faced with the challenge of developing more powerful but more energy-efficient SoCs and subsystems. For the processors that power these applications, efficiency is paramount. Synopsys’ DesignWare ARC Processors are optimized to deliver the maximum performance for any given power or area budget. For designers who are looking to design a custom processor, the ASIP Design tool automates the design of application-specific processors. Whether you need configurability or a fully customized processor, Synopsys’ Processor Solutions portfolio can meet your requirements.
10:00 – 10:10
10:10 – 10:20
Welcome & Opening Remarks
10:20 – 11:10
Harnessing the Data Explosion Generated from Artificial Intelligence
Autonomous vehicles, augmented reality, machine vision, the internet and augmented reality are all increasing rapidly in capability. The common link in these capabilities is the large amounts of data that they generate. Most of the data is being created outside of the data center and transporting data from where it resides to the core or cloud for processing is becoming challenging. As data grows Artificial Intelligence will be used to manage it focusing on where data is stored, when it is moved and where it is processed. Offline processing will also increase, and AI can be used to process the data and then move it later to the cloud as needed. This presentation will look at the challenges that we face with data and how we can enable you to address them.
11:10 - 12:00
Designing Embedded Security using Hardware Secure Modules (HSMs) w/ Root of Trust
The DesignWare tRoot Hardware Secure Modules (HSMs) offer silicon-proven, self-contained security solutions with Root of Trust for a wide range of applications, including IoT, industrial control, networking, media and mobile devices. The DesignWare tRoot HSMs with Root of Trust provide designers with a Trusted Execution Environment (TEE) that protects sensitive information and data processing within their system-on-chips (SoCs) and communication with external entities.
12:00 - 1:00
Designing Application Specific Processors for AI Acceleration
Deep learning is making its way into various application domains. The embedded vision market has embraced deep learning algorithms based on convolutional neural networks (CNN). Algorithms capturing dynamic temporal behavior in the form of recurrent neural networks (RNN) are being applied for sound processing and language translation systems. In such a dynamic environment, traditional SoC architectures with a microprocessor and hardwired accelerators no longer suffice. We will illustrate by example how ASIPs reconcile the needs for performance and flexibility. We will present ASIP architectures for two deep learning functions: (i) the acceleration of activation functions in LSTM networks, and (ii) simultaneous localization and mapping (SLAM).
1:50 - 2:40
High-Performance Digital Signal Processing using an Energy-Efficient VLIW/SIMD Architecture
2:40 - 3:00
3:00 - 3:50
Designing SoCs for Automotive ADAS Systems at ASIL D Functional Safety Standards
Drivers are the biggest uncertainty factor in cars, and advanced driver assistance systems (ADAS) are helping to mitigate human error and make the roads safer. Designing SoCs for ADAS applications, including lane departure warning, adaptive cruise control, and autonomous vehicles that can ‘see’ in fog, heavy rain, pitch darkness, and air pollution, requires ASIL Ready processor IP. In this presentation, we will describe how to use functional safety processor IP to design safe SoCs that can meet the highest safety levels, up to ASIL D, for high-performance in-vehicle processing.
3:50 - 4:40
Applying New Vision and Deep Learning Trends to Edge Applications
Embedding computer vision and deep learning at the edge remains challenging today because of the huge computational and memory requirements and due to the pace of innovation of algorithms for modern vision and sensing tasks. CNN graphs particularly are rapidly evolving to improve the accuracy and speed of learning and inference. Mapping these vision and deep learning algorithms on low power embedded platforms are demanding on computational complexity, bandwidth and accuracy. In this presentation, we will discuss the latest computer vision trends and deep learning techniques for embedded platforms and how these trends are shaping the latest enhancements to the DesignWare EV Embedded Vision Processor IP family.