Making The Case For Digital Exploration


Simulation has been established as a proven, effective means of streamlining the product development process. It allows companies to analyze product behavior earlier to evaluate more design iterations in the concept/design stage to optimize products, components and systems. However, simulation is often still siloed away in the domain of expert analysts, preventing companies from fully capitaliz... » read more

Which Verification Engine?


Semiconductor Engineering sat down to discuss the state of verification with Jean-Marie Brunet, senior director of marketing for emulation at [getentity id="22017" e_name="Mentor, a Siemens Business"]; Frank Schirrmeister, senior group director for product management at [getentity id="22032" e_name="Cadence"]; Dave Kelf, vice president of marketing at [getentity id="22395" e_name="OneSpin Solut... » read more

System Coverage Undefined


When is a design ready to be taped out? That has been one of the toughest questions to confront every design team, and it's the one verification engineers lose sleep over. Exhaustive [getkc id="56" kc_name="coverage"] has not been possible since the 1980s. Several metrics and methodologies have been defined to help answer the question and to raise confidence that important aspects of a block... » read more

Verifying AI, Machine Learning


[getperson id="11306" comment="Raik Brinkmann"], president and CEO of [getentity id="22395" e_name="OneSpin Solutions"], sat down to talk about artificial intelligence, machine learning, and neuromorphic chips. What follows are excerpts of that conversation. SE: What's changing in [getkc id="305" kc_name="machine learning"]? Brinkmann: There’s a real push toward computing at the edge. ... » read more

Verification’s Breaking Points


Verification efficiency and speed can vary significantly from one design to the next, and that variability is rising alongside growing design complexity. The result is a new level of unpredictability about how much it will cost to complete the verification process, whether it will meet narrow market windows, and whether quality will be traded off to get a chip out on time in the hopes that it c... » read more

How To Make Autonomous Vehicles Reliable


The number of unknowns in automotive chips, subsystems and entire vehicles is growing as higher levels of driver assistance are deployed, sparking new concerns and approaches about how to improve reliability of these systems. Advanced Driver Assistance Systems (ADAS) will need to detect objects, animals and people, and they will be used for parking assistance, night vision and collision avoi... » read more

Lam Research Acquires Coventor


In a move to expand its product portfolio, Lam Research has acquired Coventor, a provider of simulation and modeling solutions for the semiconductor and MEMS industries. With the acquisition of Coventor, fab tool vendor Lam enters the simulation and modeling technology market. Coventor sells the so-called SEMulator3D modeling and analysis platform, which simulates a fab process flow. The “... » read more

When Is Verification Complete?


Deciding when verification is done is becoming a much more difficult decision, prompting verification teams to increasingly rely on metrics rather than just the tests listed in the verification plan. This trend has been underway for the past couple of process nodes, but it takes time to spot trends and determine whether they are real or just aberrations. The Wilson Research Group conducts a ... » read more

Frontloading CFD-Required Technologies


Today, manufacturing product design cycles need to get shorter and shorter as either new or increased numbers of products get to the market faster. In the automotive industry for example, with either facelifts to existing car models, or the next generation of the model appearing almost every 3-4 years, and an increasing number of new models appearing on the market, the demand on engineering des... » read more

Machine Learning In The Fab


Machine learning is exploding, especially where there are massive amounts of data to contend with and lots of potential interactions. This leads to two obvious insertion points in the semiconductor field. One is on the design side, where just getting an advanced design to function is an enormous challenge. That challenge increases as the need for reliability in some market increases. It's d... » read more

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