tag: Cadence

Optimizing Power For Learning At The Edge
By Brian Bailey - 08 Aug, 2019 - Comments: 0

Learning on the edge is seen as one of the Holy Grails of machine learning, but today even the cloud is struggling to get computation done using reasonable amounts of power. Power is the great enabler—or limiter—of the technology, and the industry is beginning to respond. "Power is like an inverse pyramid problem," says Johannes Stahl, senior director of product marketing at Synopsys. "T... » read more

Determining Where Power Analysis Matters Most
By Ann Mutschler - 08 Aug, 2019 - Comments: 0

How much accuracy is required in every stage of power analysis is becoming a subject of debate, as engineering teams wrestle with a mix of new architectures, different use cases and increasing pressure to get designs out on time. The question isn't whether power is a critical factor in designs anymore. That is a given. It is now about the most efficient way to tackle those issues, as well as... » read more

Are Digital Twins Something For EDA To Pursue?
By Ann Mutschler - 07 Aug, 2019 - Comments: 0

‘Digital Twins’ are one of the new, fashionable key concepts for system developers, but do they fit with EDA? How many different types of engines do these twins run on – abstract simulation, signal-based RTL simulation, emulation, prototyping, actual silicon? What should the use models be called for digital twinning – like reproduction of bugs from silicon in emulation? Or optimizing th... » read more

Blog Review: Aug. 7
By Jesse Allen - 07 Aug, 2019 - Comments: 0

Synopsys' Taylor Armerding considers whether ransomware attacks on cities aren't only about money but if there are political motivations for intentionally sowing chaos and dysfunction. Cadence's Paul McLellan takes a look at the different way radio spectrum for 5G is being allocated in the U.S., which recently auctioned 24GHz bands for mmWave, and the rest of the world, which has focused on ... » read more

More Semiconductor Data Moving To Cloud
By Ed Sperling - 06 Aug, 2019 - Comments: 0

The cloud is booming. After years of steady growth it has begun to spike, creating new options for design, test, analytics and AI, all of which have an impact on every segment of the semiconductor industry. The initial idea behind the cloud is that it would supplement processing done on premises, adding extra processing power wherever necessary, such as in the verification and debug stages o... » read more

Solving 5G’s Thorniest Issues
By Ed Sperling - 01 Aug, 2019 - Comments: 0

5G rollouts are beginning to hit the market, accompanied by a long list of unsolved technical and business issues surrounding this next-generation wireless technology. But progress is being made on some of the key challenges facing this technology, even though not all of those solutions will be in place at launch. The real challenges are with millimeter-wave implementations of 5G, which oper... » read more

Where Should Auto Sensor Data Be Processed?
By Ann Mutschler - 01 Aug, 2019 - Comments: 0

Fully autonomous vehicles are coming, but not as quickly as the initial hype would suggest because there is a long list of technological issues that still need to be resolved. One of the basic problems that still needs to be solved is how to process the tremendous amount of data coming from the variety of sensors in the vehicle, including cameras, radar, LiDAR and sonar. That data is the dig... » read more

AI/ML’s Role In ADAS
By Ann Mutschler - 01 Aug, 2019 - Comments: 0

Self-driving cars are headed this way, but not for a while. And that’s not a bad thing. As I discuss in my article, “Where Should Auto Sensor Data Be Processed?” there is still much to be worked out just on the technology side, such as how and where to process the significant amount of data coming into the vehicle from the outside world. [caption id="attachment_24152605" align="al... » read more

Blog Review: July 31
By Jesse Allen - 31 Jul, 2019 - Comments: 0

Cadence's Meera Collier checks out a study that uses AI and natural language processing techniques to infer new discoveries in materials science from published academic literature and considers how it could be used in the future. Synopsys' Taylor Armerding considers whether the NIST Secure Software Development Framework, the latest standard aimed at improving software security, can succeed. ... » read more

DRAM Tradeoffs: Speed Vs. Energy
By Ed Sperling - 31 Jul, 2019 - Comments: 1

Semiconductor Engineering sat down to talk about new DRAM options and considerations with Frank Ferro, senior director of product management at Rambus; Marc Greenberg, group director for product marketing at Cadence; Graham Allan, senior product marketing manager for DDR PHYs at Synopsys; and Tien Shiah, senior manager for memory marketing at Samsung Electronics. What follows are excerpts of th... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2026 SMG   |  Terms of Service  |  Privacy Policy