5 Reasons Why In-Chip Monitoring Is Here To Stay


When the first car rolled off his production line in 1913, Henry Ford would have already envisioned just how prolific the automobile would become. However, would he have foreseen the extent to which monitors and sensors would become critical to the modern internal combustion engine? The requirement for energy efficiency, power performance and reliability in high volume manufactured vehicles ... » read more

Is Your AI SoC Secure?


As artificial intelligence (AI) enters every application, from IoT to automotive, it is bringing new waves of innovation and business models, along with the need for high-grade security. Hackers try to exploit vulnerabilities at all levels of the system, from the system-on-chip (SoC) up. Therefore, security needs to be integral in the AI process. The protection of AI systems, their data, and th... » read more

Open Throttle On Automotive Innovation


Like a race car accelerating out of a turn, the autonomous and semi-autonomous vehicle market is expanding faster than a lot of people expected. IHS Markit, for example, reported earlier this year that more than 33 million autonomous vehicles will be sold globally in 2040. The growth rate, IHS Markit suggests, is going to be torrid since the first year of significant volume for autonomous vehic... » read more

Power Reduction In A Constrained World


Back when 40-28nm were new, leakage power for wireless designs dominated the optimization technology focus. This led to multiple VT optimization and power intent management for digital designs to minimize or shut off leakage. As wireless devices moved to FinFET nodes, dynamic power became dominant. As a result, optimization technology focus shifted to build up dynamic techniques to complement y... » read more

High-Performance Memory At Low Cost Per Bit


Hardware developers of deep learning neural networks (DNN) have a universal complaint – they need more and more memory capacity with high performance, low cost and low power. As artificial intelligence (AI) techniques gain wider adoption, their complexity and training requirements also increase. Large and complex DNN models do not fit on the small on-chip SRAM caches near the processor. This ... » read more

Getting Ahead With Early Power Analysis


Today’s mobile applications need to cater to a broad set of applications. They can be communications-heavy (Bluetooth and GPS), graphics-intensive (streaming 4K videos), or compute-intensive workloads (AR/VR gaming). At the heart of this processing lies the all-powerful mobile processor, which includes a multi-core CPU, GPU, memory and other IP and subsystems for performing a variety of ta... » read more

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

Minimizing The Risk Of Electromagnetic Crosstalk Failures


Leading semiconductor markets, such automotive, machine learning, large scale computing and networking, are driving the need for high density chips that integrate high performance digital cores with sensitive analog/RF IP, while operating at the lowest power and fastest bandwidth possible. These trends are increasing the sensitivity to electromagnetic (EM) coupling, and requiring designers to w... » read more

Predictive Maintenance In Tomorrow’s Industries


By Olaf Enge-Rosenblatt and Steven Brandt Tomorrow’s production plants must be efficient and adaptive, which is the key to survival in modern, highly competitive markets brought about by digitalization and automation. Future-oriented companies are increasingly focusing on a tight combination of automation and computer technology as promised by the Industry 4.0 paradigm. More and more globa... » read more

Updated UVM Cookbook Supports IEEE 1800.2 Standard And Emulation


I’m happy to announce that we at Mentor have just released a fully-updated version of our popular UVM Cookbook, which is available online here. Cookbook Overview Diagram The Universal Verification Methodology (UVM) is a standard library of SystemVerilog classes that supports a modular, reusable testbench architecture for constrained-random functional verification. Meanwhile, Mentor’... » read more

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