Impact Of IP On AI SoCs


The combination of mathematics and processing capability has set in motion a new generation of technology advancements with an entire new world of possibilities related to Artificial Intelligence. AI mimics human behavior using deep learning algorithms. Neural networks are what we define as deep learning, which is a subset of machine learning, which is yet a subset of AI, as shown in Figure 1. ... » read more

Enabling Integrated ADAS Domain Controllers With Automotive IP


Traditionally, the electronic control units (ECUs) for individual Advanced Driver Assistance System (ADAS) applications have been placed throughout the car. The latest automotive architecture will integrate ECUs for multiple ADAS applications into centralized domains to combine multiple ADAS functions. The new class of integrated domain controller ECUs utilize data transferred from the car’s ... » read more

Enabling Ethernet Time-Sensitive Networking With Automotive-Certified IP


Automotive systems are becoming more sophisticated as they combine ADAS applications from emergency braking, collision avoidance, lane departure warning to fully autonomous driving, making predictable latency and guaranteed bandwidth in the automotive network critical. These applications require a high volume of data from different parts of the car for processing and decision making. Due to the... » read more

Developing ASIL Ready SoCs For Self-Driving Cars


Artificial intelligence (AI) and deep learning using neural networks is a powerful technique for enabling advanced driver-assistance systems (ADAS) and greater autonomy in vehicles. As AI research moves rapidly, designers are facing tough competition to provide efficient, flexible, and scalable silicon and software to handle deep learning automotive applications like inferencing in embedded vis... » read more

HDMI 2.1 For A More Immersive Viewing Experience


With the advent of richer television and gaming content, consumers’ expectations have gone from ultra-high-resolution 4K displays to 10K with finer image details, more color gamut, and higher bandwidth. To deliver premium content to digital televisions and trending HDMI-based mobile devices, the HDMI Forum recently announced the HDMI specification, version 2.1. The re-architected HDMI 2.1 off... » read more

32GT/s PCI Express Design Considerations


Today’s networking and rapidly emerging artificial intelligence (AI) applications are requiring more bandwidth in accelerators and GPUs, as well as faster interconnects to transmit and receive greater amounts of data. Towards the middle of 2017 the PCI-SIG industry consortium announced its latest specification, PCIe 5.0, which raised the data rate from 16GT/s to 32GT/s and doubled the link... » read more

Embedded Display IP Solution For 4K Resolutions


By Licinio Sousa, Synopsys, and Vassilis Androutsopoulos, Arm To meet consumers’ demands for high-resolution content and visual quality, high-end smartphones are moving from wide quad HD (WQHD) displays to ultra-high-resolution 4K displays. For AR/VR applications, since the display is closer to the eyes and must maintain visual quality, more pixels and high refresh rates are needed. Higher... » read more

Protecting Automotive Systems With A Root Of Trust


As our cars become more connected and autonomous, we depend on them to entertain us, connect seamlessly to our phones (which carry substantial personal information), help keep us in our proper driving lane, and more. We expect that the electronics in the automobile will work as advertised. However, connected cars can have vulnerabilities to direct, over-the-air, or side-channel attacks, which c... » read more

Security For Android-Based Ecosystem With Mobile Storage IP


By Biswanath Tayenjam and Licinio Sousa Users are storing more sensitive data in flash memory on their mobile applications such as digital cameras, smart phones and tablets. Because of this reason, the Joint Electron Device Engineering Council (JEDEC) have developed two storage interface standards using inline encryption to secure data: embedded Multimedia Controller (eMMC) and Universal Fla... » read more

Software Framework Requirements For Embedded Vision


Deep learning techniques such as convolutional neural networks (CNN) have significantly increased the accuracy—and therefore the adoption rate—of embedded vision for embedded systems. Starting with AlexNet’s win in the 2012 ImageNet Large Scale Visual Recognition Challenge (ILSVRC), deep learning has changed the market by drastically reducing the error rates for image classification and d... » read more

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