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Posts Tagged ‘Moore’s Law’

Predictions 2014: Mike Demler on the ecosystem triad

Monday, February 17th, 2014

Next up in our series of predictions is the astute insight of Mike Demler, Senior Analyst with The Linley Group & MICROPROCESSOR report, and former EDA & Chip Design news analyst.  

“It’s all about the ecosystem triad: EDA + foundry + IP.  Cadence and Synopsys continue to evolve more in the IP direction, and there is really not much to say about the tools that hasn’t been said for a long time —just make it all work together!  Redundant “standards” and artificial barriers to interoperability cost the semiconductor industry by lowering productivity.  This is the problem with the disaggregated model. Back in the days when “real men” had fabs, companies could develop complete design flows without such obstacles.

The triad needs to work together to get over the stall inMoore’s Law at 28nm.  Foundries are incurring delays in getting to 16/14nm FinFETS, and almost nobody is going to use 20nm. The chip industry needs an overall lower-cost solution in order to make sub-28nm processes economically viable.  Forget 3D ICs, those will be niche products for a long time, about as popular as 3D TV.

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Granularity and complexity in low power verification

Tuesday, April 2nd, 2013

 

 

Cary Chin, Director of Technical Marketing at Synopsys, has an intriguing take on how to approach verification now that the mandate for design project managers is to meet the low power requirement of the target end-product.   Chin says that if we look at verification in terms of fine and broad “granularity,” users will meet their verification goals with a lot less angst and anguish.    However, at first glance,  I had no idea what Chin was talking about…which is why we asked him to join us and talk about this idea.

 

Ed: Cary,  you’ve been recently talking about granularity in verification, especially in terms of low power.  What does this all mean?  

Cary:  When I think of granularity in low power design, I’m thinking about the size of the “chunks” that we manipulate to improve the energy efficiency (or “low power performance”) of a design.  For example, in most of today’s low power methodologies, large functional blocks are the boundaries we work within – we can shut down these blocks or manipulate the voltage to save energy when peak performance isn’t required.  This boundary level isn’t just a matter of convenience; our tools and methodologies for both implementation and verification can only deal with certain levels of complexity, so we are confined in many dimensions in how we can pursue finer granularity.

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