Diagnosis-driven yield analysis identifies the cause of systematic yield loss to speed the ramp-to-volume on new processes and improve yield on mature ones.
This second part looks at Mentor's views on flow neutrality, how DRS360 was born, machine learning and the threat from embedded Trojans.
Three senior verification specialists talk about how they are navigating the challenge of verifying multibillion-transistor SoCs with limited compute resource, increasing coverage demands and shrinking timescales.
In both data centers and automobiles deep learning is taking hold. But it is a technique that challenges conventional microprocessors, leading system designers to look at alternative architectures for acceleration.
The paper describes several innovative modifications to standard design flows that enable new device technologies to be rapidly assessed at the system level. Cell libraries from these rapid flows are employed by a design flow description language (PSYCHIC) for the exploration of highly speculative ‘what if’ scenarios. These rapid design flows are used to explore […]