Expert Insights

Ashish Darbari  |  March 6, 2019

Doc Formal answers 11 key questions

The doctor was 'in' during last month's DVCon and here highlights some of the main issues in formal raised by delegates at the verification conference.
Topics: EDA - Verification  |  Tags: ,   |  Organizations:   |  
Paul Dempsey  |  January 28, 2019

Emulation for AI: Part Two

The second part of this feature looks at how Wave Computing's objectives with its dataflow processing unit for AI mapped to the use of emulation in its development.
Paul Dempsey  |  January 25, 2019

Emulation for AI: Part One

An increasing number of AI players are building their own silicon and finding that emulation is key to overcoming the major challenges.
Ashish Darbari  |  January 7, 2019

Doc Formal: Introducing the ADEPT FV flow

Escape formal's narrower definitions with a flow that shows you how to Avoid, Detect, Erase, Prove Absence and Tape Out while avoiding bugs.
Rahul Chirania  |  December 3, 2018

Verifying clock domain crossings in UPF-based low-power SoCs

The verification challenges of using low-power design techniques to enable advanced power-management strategies in complex SoCs.
Topics: EDA - Verification  |  Tags: , , , ,   |  Organizations:   |  
Morten Christiansen  |  November 5, 2018

Understanding USB 3.2 and Type-C

The basics of USB 3.2, how to implement it in an SoC, and how USB Type-C connectors and cables are used in USB 3.2 systems.
Topics: Embedded - Architecture & Design, IP - Selection  |  Tags: , ,   |  Organizations:   |  
Philip Vanness  |  October 26, 2018

8.8 billion miles to verify

How the digital twin can fuel automotive verification flows impossible in the real world.
Dana Neustadter  |  October 16, 2018

Why AI needs security

As AI becomes pervasive in computing applications, so too does the need for high-grade security in all levels of the system.
Topics: IP - Selection  |  Tags: , ,   |  Organizations:   |  
Allen Watson  |  October 3, 2018

An open-source framework for greater flexibility in machine-learning development

Exchange frameworks are emerging to make it easier for neural-network developers to swap between development environments.
Gordon Cooper  |  September 23, 2018

Flexible embedded vision processing architectures for machine-learning applications

Machine-learning strategies for embedded vision are evolving so quickly that designers need access to flexible, heterogenous processor architectures that can adapt as the algorithms evolve.
Topics: Embedded - Architecture & Design, IP - Selection  |  Tags: , ,   |  Organizations:   |  

PLATINUM SPONSORS

Synopsys Cadence Design Systems Siemens EDA
View All Sponsors