AI Chip DFT Techniques For Aggressive Time-To-Market


AI chips have aggressive time-to-market goals. Designers can shave significant time off of DFT and silicon bring up using the techniques described in this paper. Leading AI semiconductor companies have already had success with Tessent DFT tools. To read more, click here. » read more

Spreading Intelligence From The Cloud To The Edge


The challenge of partitioning processing between the edge and the cloud is beginning to come into focus as chipmakers and systems companies wrestle with a massive and rapidly growing volume of data. There are widely different assessments of how much data this ultimately will include, but everyone agrees it is a very large number. Petabytes are simply rounding errors in this equation, and tha... » read more

Speeding Up Electrical Vehicle Development With Designer-Centric Thermal And Electromagnetic Simulation And Analysis


By 2040, 54% of new car sales and 33% of the global car fleet is predicted to be electric [1]. More than six countries have announced a ban on internal-combustion engines. China is expected to be the largest market for electrical vehicles (EVs), which is driving automakers to make aggressive rollout plans for EVs. Some of the important trends driving EV development are getting more than 200 ... » read more

What Is Generative Design And Why Do You Need It?


The automotive industry is undergoing an electronic revolution. As design complexity increases, the legacy methods and tools used by OEMs are struggling to meet the demands of this new automotive landscape. Engineers are being asked to produce more sophisticated designs under a perfect storm of complexity, cost, and change management pressures. Generative design empowers automotive design teams... » read more

Blog Review: April 3


Synopsys' Taylor Armerding contends that as the IoT becomes more ubiquitous, the threat of cyber-physical attacks is rising, with the potential for a domino effect if even simple devices are compromised in large enough quantities. Mentor's Colin Walls considers the move away from programming on bare metal with the rise of drivers and RTOSes and when it makes sense to still use the old method... » read more

Big Shift In Multi-Core Design


Hardware and software engineers have a long history of working independently of each other, but that insular behavior is changing in emerging areas such as AI, machine learning and automotive as the emphasis shifts to the system level. As these new markets consume more semiconductor content, they are having a big impact on the overall design process. The starting point in many of these desig... » read more

Week In Review: Design, Low Power


ON Semiconductor will acquire Quantenna Communications for $24.50 per share in an all cash transaction, representing an equity value of approximately $1.07 billion and enterprise value of approximately $936 million. Quantenna, a maker of Wi-Fi chipsets, was founded in 2006 and went public in late 2016. Tools & IP Achronix completed testing and is now demonstrating the 112 Gbps SerDes th... » read more

How Qualcomm Got Faster Signoff DRC Convergence


Qualcomm Incorporated designs and markets wireless telecommunications products and services that are the foundational technologies that others build upon, from mobile processors to embedded platforms, Bluetooth products, and cellular modems. In the fast-moving mobile phone market in which Qualcomm competes, companies who can get to market more quickly gain a strong competitive advantage, along ... » read more

Digital Twins Deciphered


Ever since Siemens acquired Mentor Graphics in 2016, a new phrase has become more common in the semiconductor industry – the digital twin. Exactly what that is, and what impact it will have on the semiconductor industry, is less clear. In fact, many in the industry are scratching their heads over the term. The initial reaction is that the industry has been creating what are now termed digi... » read more

The Automation Of AI


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

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