Cadence Introduces Palladium XP II

Cadence Introduces Palladium XP II
by Paul McLellan on 09-09-2013 at 8:00 pm

Well, despite all the arguments in the blogosphere about what process node palladium’s silicon is, and whether the design team is competent, and why it reports into sales…Cadence has announced their latest big revision of Palladium. Someone seems to be able to get things done. Of course it is bigger and faster and … Read More


Rapid Yield Optimization at 22nm Through Virtual Fab

Rapid Yield Optimization at 22nm Through Virtual Fab
by Pawan Fangaria on 09-09-2013 at 10:00 am

Remember? During DAC2013 I talked about a new kind of innovation: A Virtual Fabrication Platform, SEMulator3D, developed by COVENTOR. Now, to my pleasant surprise, there is something to report on the proven results from this platform. IBM, in association with COVENTOR, has successfully implemented a 3D Virtual Fabrication… Read More


Did you miss Cadence’s MemCon?

Did you miss Cadence’s MemCon?
by Eric Esteve on 09-05-2013 at 4:42 am

That’s too bad, as you have missed latest news about the Hybrid Memory Cube (presentation by Micron), Wide I/O 2 standard, as well as other standards like LPDDR4, eMMC 5.0, and LRDIMM,the good news is that you may find all these presentations on MemCon proceedings web site.
I first had a look at Richard Goering excellent blog: wideI/ORead More


20nm IC production needs more than a ready Foundry

20nm IC production needs more than a ready Foundry
by Pawan Fangaria on 08-23-2013 at 11:00 am

I think by now all of us know, or have heard about 20nm process node, its PPA (Power, Performance, Area) advantages and challenges (complexity of high design size and density, heterogeneity, variability, stress, lithography complexities, LDEs and so on). I’m not going to get into the details of these challenges, but will ponder… Read More


Happy Birthday Dear Cadence…

Happy Birthday Dear Cadence…
by Paul McLellan on 08-14-2013 at 8:30 pm

Cadence is 25 years old this year, on June 1st if you want to be precise.

The most direct ancestor of Cadence was SDA (which might or might not have stood for Solomon Design Automation). SDA was founded by Jim Solomon in 1983. It turns out that a guy I shared an office with while we were both doing our PhDs in Edinburgh Scotland was one of … Read More


Electronic System Level: Gary Smith

Electronic System Level: Gary Smith
by Paul McLellan on 08-12-2013 at 5:07 pm

Gary Smith has been talking about how the electronic system level (ESL) is where the future of EDA lies as design teams move up to higher levels encompassing IP blocks, high level synthesis, software development using virtual platforms and so on. At DAC this year in Austin he talked about how the fact that EDA controls the modeling… Read More


ClioSoft at GenApSys

ClioSoft at GenApSys
by Paul McLellan on 08-06-2013 at 12:51 pm

GenApSys is a biotech company developing proprietary DNA sequencing technology. As part of that they develop their own custom sequencing chips. These have an analog component and like many people they use the Cadence Virtuoso analog design environment for this.

I talked to Hamid Rategh who is GenApSys’s VP engineering.… Read More


Data Centers accounts for 2 to 3% of WW Energy Consumption!

Data Centers accounts for 2 to 3% of WW Energy Consumption!
by Eric Esteve on 07-11-2013 at 8:19 am

Do you think this figure will go down? Considering the massive move to Mobile equipment, pushing to de-localize your storage medium to instead use the cloud capabilities, and looking at the huge number of people buying smartphone and tablet in emerging countries, no doubt that Data Center related energy consumption is expected… Read More


Swap and Play Extended To Chip Fabric and Memory Controllers

Swap and Play Extended To Chip Fabric and Memory Controllers
by Paul McLellan on 06-16-2013 at 9:08 am

Virtual platforms enable software development to take place on a model of an electronic system. What everyone would like is models that are fast and accurate but that is simply not possible. Fast models are fast because they don’t model everything at the signal level. And accurate models get to be accurate by handling a lot of detail… Read More