Articles Authored by Lauro Rizzatti

CSD systems are emerging as the must-have peripherals for intensive storage demands required by leading-edge industries. But their complexity leads to issues with traditional pre-silicon verification, which raises the need for a new virtualization-based method.

Only a few months ago, a speck in the flow of time, 2020 began with the promise of being another successful business year. Yet here we are at the start of June, distressed and concerned about the future, afflicted by a prediction that annual GDP could drop by around 50%.

The future of hardware emulation has been proclaimed impressive, as shown by its upward market performance trend. As revealed by a recent ESD Alliance Market Statistics Service (MSS) report, the total revenue in 2019 stood at over $10 billion, representing an 8.3 percent increase over 2018 performance.

A 5G system-on-chip (SoC) design is a multifaceted system with complex communications, computing and memory requirements, and many blocks that must work together seamlessly for it to effectively perform its duties.

More and more new system-on-chip (SoC) designs at leading semiconductor companies embody software algorithms conceived and developed on host computers and in earlier embedded designs.

Part 2 of this two-part series on designing and using a modern hardware emulation platform highlights how to become an expert in using a modern hardware emulator vis-à-vis a hardware-description-language (HDL) simulator.

This first part of a two-part series authored by two leading experts in the field of hardware emulation explores how to build a platform that meets today’s needs.

What’s more complex than a system? Well, multiple systems connected together seems like a logical next step. With the combination of technology node reduction and new fields of application, we are starting to see that the systems on chip (SoCs) of yesterday are being combined into the systems of today.

It is reasonable to predict that hardware-assisted verification revenue will break through $600 million by the end of 2019.

There is no doubt that computers have changed our lives forever. Still, as much as computers outperform humans at complex tasks such as solving complex mathematical equations in almost zero time, they may underperform when solving what humans can do easily — image identification, for instance.