category: Blogs – LPHP

category: Auto, Security & Edge AI

5G Wireless Infrastructure Pushes High-Speed SerDes Protocols
By Mondeep Thiara - 14 Jun, 2018 - Comments: 0

5G is the 5th generation wireless system standard that, through high speeds and increased accessibility, promises to change the way we stream, communicate, work, and travel. Boasting speed capabilities of 20Gbps and network densities of 1 million connected devices per square kilometer, 5G is the required technology for the implementation of highly anticipated technologies like autonomous vehicl... » read more

Seven Steps To Build A Successful IoT Solution
By Paul Williamson - 14 Jun, 2018 - Comments: 0

The technology sector is on course to produce a trillion connected IoT devices in the next two decades. As an innovator, you want to take advantage of this, but how and where do you begin navigating a complex world of hardware and software choices? The breadth of technology makes it easy for designers to build any kind of IoT solution at any scale across a continuum of applications. W... » read more

Cure The Common Cold…
By Brian Fuller - 23 May, 2018 - Comments: 0

The technology sector has no equal in the ability of its people to visualize what might be possible and then make it happen fast. If we were sorting out the common cold, the sniffles may already have been relegated to the past. Maybe that’s a claim too far but while imagining the future has always been a feature of our world I think we’ve gone into overdrive in the last few years. From a... » read more

Electromagnetic Crosstalk Considerations In Low Power Designs
By Magdy Abadir - 19 May, 2018 - Comments: 0

By Magdy Abadir, Padelis Papadopoulos, and Yehea Ismail
 Power consumption continues to be a critical design metric in high-performance mobile electronics. In order to meet the aggressive power budget targets, chips today need to operate at extremely low power levels, which increases the critical signals’ susceptibility to electromagnetic (EM) crosstalk effects. Because a low-power So... » read more

Multiphysics Challenges For EDA Tools
By Christoph Sohrmann - 10 May, 2018 - Comments: 0

Cost and performance are the main drivers for scaling of integrated circuits. However, some applications do not scale as easily as others. This is particularly true for analog circuits and everything related to high voltage and high power. Still, the demand for these kind of applications is growing rapidly due to new emerging markets such as Industry 4.0, IoT, and e-mobility. In the automoti... » read more

Deep Learning Neural Networks Drive Demands On Memory Bandwidth
By Frank Ferro - 10 May, 2018 - Comments: 0

A deep neural network (DNN) is a system that is designed similar to our current understanding of biological neural networks in the brain. DNNs are finding use in many applications, advancing at a fast pace, pushing the limits of existing silicon, and impacting the design of new computing architectures. Figure 1 shows a very basic form of neural network that has several nodes in each layer that ... » read more

Early Chip-Package-System Thermal Analysis
By Annapoorna Krishnaswamy - 10 May, 2018 - Comments: 0

Next-generation automotive, HPC and networking applications are pushing the requirements of thermal integrity and reliability, as they need to operate in extreme conditions for extended periods of time. FinFET designs have high dynamic power density, and power directly impacts the thermal signature of the chip. Thermal degradation typically occurs over an extended period of chip operation. ... » read more

Optimizing Your DRC Debug Can Reap Big Productivity Gains
By Srinivas Velivala - 10 May, 2018 - Comments: 0

Debugging design violations found by design rule checking (DRC) has always taken a significant share of the time needed to get a design to tapeout. And debug time only increases as the number and complexity of DRC expands with each new process node. Any steps you can take to make your DRC debug process more efficient directly improves your productivity. One technique for minimizing debug tim... » read more

Developing ASIL Ready SoCs For Self-Driving Cars
By Gordon Cooper - 10 May, 2018 - Comments: 0

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

Where The Rubber Hits The Road: Implementing Machine Learning On Silicon
By Dave Pursley - 10 May, 2018 - Comments: 0

Machine learning (ML) is everywhere these days. The common thread between advanced driver-assistance systems (ADAS) vision applications in our cars and the voice (and now facial) recognition applications in our phones is that ML algorithms are doing the heavy lifting, or more accurately, the inferencing. In fact, neural networks (NN) can even be used in application spaces such as file compressi... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2026 SMG   |  Terms of Service  |  Privacy Policy