Power Modeling Standard Released


Power is becoming a more important aspect of semiconductor design, but without an industry standard for power models, adoption is likely to be slow and fragmented. That is why Si2 and the IEEE decided to do something about it. Back in 2014, the IEEE expanded its interest in power standards with the creation of two new groups IEEE P2415 - Standard for Unified Hardware Abstraction and Layer fo... » read more

U.S. Consortium Pulls Ecosystem Into Quantum


Quantum computing promises to solve impossibly complex problems that no classical computer could solve, and do it in a humanly reasonable amount of time. The hitch is that quantum computers are still in the early development phase. Whether these computers can fulfill that promise is not yet known. Despite the uncertainty, no one wants to be left behind. That includes governments, which are w... » read more

Debug Tools Are Improving


Semiconductor Engineering sat down to discuss debugging complex SoCs with Randy Fish, vice president of strategic accounts and partnerships for UltraSoC; Larry Melling, product management director for Cadence; Mark Olen, senior product marketing manager for Mentor, a Siemens Business; and Dominik Strasser, vice president of engineering for OneSpin Solutions. Part one can be found here. Part two... » read more

Optimizing Power For Learning At The Edge


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


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

HBM2E: The E Stands for Evolutionary


Samsung introduced the first memory products in March that conform to JEDEC’s HBM2E specification, but so far nothing has come to market—a reflection of just how difficult it is to manufacture this memory in volume. Samsung’s new HBM2E (sold under the Flashbolt brand name, versus the older Aquabolt and Flarebolt brands), offers 33% better performance over HBM2 thanks to doubling the de... » read more

Are Digital Twins Something For EDA To Pursue?


‘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

July’19 Startup Funding


During the month of July, 21 technology startups took in mega-rounds of $100 million or more. Those companies together received more than $7.5 billion. On the other end of the financing spectrum, dozens of startups got seed funding or a Series A round. The dollar amounts were much smaller. Still, they are the beating heart of entrepreneurship around the world. It also was a month when som... » read more

More Semiconductor Data Moving To Cloud


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

How Many Test Miles Make A Vehicle Safe?


The road to reliable safety testing of autonomous vehicles (AVs) is shifting left. Standards groups are beginning to publish functional safety standards that could make it possible to verify what a machine-learning AV pilot application will do in a traffic situation even before hardware or software is released from validation testing. This kind of approach has been possible for some time in ... » read more

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