This Year’s Holiday Puzzle: Find The Trojan Horse


The term “Trojan horse” is widely used, but it’s likely that not everyone knows the story behind this metaphor. It refers to an ancient legend about a giant wooden horse that contained a most unpleasant surprise for its recipients. In general usage, the term refers to anything dangerous that lurks within a seemingly innocent disguise. The electronics hardware design community is increasin... » read more

Week In Review: Design, Low Power


M&A Intel acquired Habana Labs, a maker of programmable deep learning accelerators for the data center, for approximately $2 billion. Based in Israel, Habana was founded in 2016 but only emerged from stealth in September 2018 with the release of its first inference chip. Intel's VC arm, Intel Capital, previously invested in the startup. Intel has made numerous M&A moves in the AI space... » read more

What Will AI Look Like In 10 Years?


There's no such thing as reverse in AI systems. Once they are let loose, they do what they were programmed to do — optimize results within a given set of parameters. But today there is no consistency for those parameters. There are no standards by which to measure how AI deviates over time. And there is an expectation, at least today, that AI systems will adapt to whatever patterns they di... » read more

Applications, Ecosystems And System Complexity Will Be Key Verification Drivers For 2020


In my predictions blog last year, I focused on verification throughput and its expected growth in 2019. The four areas I predicted we’d see growth in during 2019 were scalable performance, unbound capacity including cloud enablement, smart bug hunting and multi-level abstractions. In 2018, the five key verification drivers that I identified were security, safety, application specificity, proc... » read more

Crossed Wires On Domains


Clock, power and reset domains can form a tangled web if systems are not architected correctly. Wires that cross these domains often require special treatment and additional analysis. They are all evolving independently, meaning that designers must keep up with the latest methodology guidelines and tool capabilities to ensure problems do not remain hidden until they get exposed in silicon. C... » read more

Cloud Characterization


Library characterization is a compute-intensive task that takes days to weeks to complete. Runtimes for library characterization are increasing due to larger library sizes, higher number of operating conditions to characterize, as well as the need for statistical variation modeling in libraries at 22/20nm and smaller process nodes. Cloud platforms offer a way to accelerate library characterizat... » read more

Will Open-Source Processors Cause A Verification Shift?


While the promised flexibility of open source could have advantages and possibilities for processors and SoCs, where does the industry stand on verification approaches and methodologies from here? Single-source ISAs of the past relied on general industry verification technologies and methodologies, but open-source ISA-based processor users and adopters will need to review the verification flows... » read more

AI Chips Driving Need For New Test Implementation Methodologies


Artificial intelligence has never been more in the news than it is today.  From picking stock market investments to autonomous driving, we have heard about what AI can do when it works and what happens when it goes awry. The consequences are huge if AI doesn’t work which puts a lot of pressure on hardware engineers to ensure that their chips can be extensively tested for proper and safe func... » read more

When Is Robustness Verification Complete?


Understandably, hardware designed for an aircraft, or indeed any safety critical application, must be robust. I also believe that all engineers wish to verify their designs as thoroughly as possible, anyway. However, there are limiting factors; most notably the high complexity of most designs. Since we are unable to discover and verify the design against all abnormal conditions, the main questi... » read more

What Worked, What Didn’t In 2019


2019 has been a tough year for semiconductor companies from a revenue standpoint, especially for memory companies. On the other hand, the EDA industry has seen another robust growth year. A significant portion of this disparity can be attributed to the number of emerging technology areas for semiconductors, none of which has reached volume production yet. Some markets continue to struggle, a... » read more

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