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Leveraging AI to help build AI SOCs

Leveraging AI to help build AI SOCs
by Tom Simon on 06-25-2018 at 12:00 pm

When I first started working in the semiconductor industry back in 1982, I realized that there was a race going on between the complexity of the system being designed and the capabilities of the technology in the tools and systems used to design them. The technology used to design the next generation of hardware was always lagging… Read More


Looking Ahead: What is Next for IoT

Looking Ahead: What is Next for IoT
by Ahmed Banafa on 06-13-2018 at 12:00 pm

Over the past several years, the number of devices connected via Internet of Things (IoT) has grown exponentially, and it is expected that number will only continue to grow. By 2020, 50 billion connected devices are predicted to exist, thanks to the many new smart devices that have become standard tools for people and businesses… Read More


Being Intelligent about AI ASICs

Being Intelligent about AI ASICs
by Tom Simon on 06-06-2018 at 12:00 pm

The progression from CPU to GPU, FPGA and then ASIC affords an increase in throughput and performance, but comes at the price of decreasing flexibility and generality. Like most new areas of endeavor in computing, artificial intelligence (AI) began with implementations based on CPU’s and software. And, as have so many other applications,… Read More


Managing Your Ballooning Network Storage

Managing Your Ballooning Network Storage
by Alex Tan on 05-24-2018 at 12:00 pm

As companies scale by adding more engineers, there is a tendency to spread across multiple design sites as they strive to hire the best available talent. Multi-site development also impacts startups as they try to minimize their burn rate by having an offsite design center such as India, China or Vietnam.

Both the IoT and automotive… Read More


Semiconductor, EDA Industries Maturing? Wally Disagrees

Semiconductor, EDA Industries Maturing? Wally Disagrees
by Bernard Murphy on 05-22-2018 at 7:00 am

Wally Rhines (President and CEO of Mentor, A Siemens Business) has been pushing a contrarian view versus the conventional wisdom that the semiconductor business, and by extension EDA, is slowing down. He pitched this at DVCon and more recently at U2U where I got to hear the pitch and talk to him afterwards.


What causes maturing is… Read More


UBER car accident: Verifying more of the same versus the long-tail cases

UBER car accident: Verifying more of the same versus the long-tail cases
by Moshe Zalcberg on 05-21-2018 at 12:00 pm

The recent fatal accident involving an UBER autonomous car, was reportedly not caused – as initially assumed – by a failure of the many sensors on the car to recognize the cyclist. It was instead caused by a failure of the software to take the right decision in regard to that “object”. The system apparently… Read More


Machine Learning Drives Transformation of Semiconductor Design

Machine Learning Drives Transformation of Semiconductor Design
by Tom Simon on 05-14-2018 at 12:00 pm

Machine learning is transforming how information processing works and what it can accomplish. The push to design hardware and networks to support machine learning applications is affecting every aspect of the semiconductor industry. In a video recently published by Synopsys, Navraj Nandra, Sr. Director of Marketing, takes… Read More


AI processing requirements reveal weaknesses in current methods

AI processing requirements reveal weaknesses in current methods
by Tom Simon on 05-07-2018 at 12:00 pm

The traditional ways of boosting computing throughput are either to increase operating frequency or to use multiprocessing. The industry has done a good job of applying these techniques to maintain a steady increase in performance. However, there is a discontinuity in the needs for processing power. Artificial Intelligence… Read More


Webinar: ASICs Unlock Deep Learning Innovation

Webinar: ASICs Unlock Deep Learning Innovation
by Daniel Nenni on 04-27-2018 at 12:00 pm

In March, an AI event was held at the Computer History Museum entitled “ASICs Unlock Deep Learning Innovation.” Along with Samsung, Amkor Technology and Northwest Logic, eSilicon explored how these companies form an ecosystem to develop deep learning chips for the next generation of AI applications. There was also a keynote … Read More


Open-Silicon, Credo and IQ-Analog Provide Complete End-to-End Networking ASIC Solutions

Open-Silicon, Credo and IQ-Analog Provide Complete End-to-End Networking ASIC Solutions
by Camille Kokozaki on 04-26-2018 at 12:00 pm

The end-to-end principle as defined by Wikipedia is a design framework in computer networking. In networks designed according to this principle, application-specific features reside in the communicating end nodes of the network, rather than in intermediary nodes, such as gateways and routers, that exist to establish the … Read More