Cadence Design Systems Inc. recently announced the Quantus QRC extraction solution had been certified for TSMC 16nm FinFET.
So, what’s the uniqueness about the Cadence Quantus QRC extraction solution?
KT Moore, senior group director – Product Marketing, Digital and Signoff Group, Cadence Design Systems, said: “There are several parasitic challenges that are associated with advanced node designs — especially FinFET – and it’s not just about tighter geometries and new design rules. We can bucket these challenges into two main categories: increasing complexity and modeling challenges.
“The number of process corners is exploding, and for FinFET devices specifically, there is an explosion in the parasitic coupling capacitances and resistances. This increases the design complexity and sizes. The netlist is getting bigger and bigger, and as a result, there is an increase in extraction runtimes for SoC designs and post-layout simulation and characterization runtimes for custom/analog designs.
“Our customers consistently tell us that, for advanced nodes, and especially for FinFET designs, while their extraction runtimes and time-to-signoff is increasing, their actual time-to-market is shrinking and putting an enormous amount of pressure on designers to deliver on-time tapeout. In order to address these market pressures, we have employed the massively parallel technology that was first introduced in our Tempus Timing Signoff Solution and Voltus IC Power Integrity Solution to our next-generation extraction tool, Quantus QRC Extraction Solution.
“Quantus QRC Extraction Solution enables us to deliver up to 5X better performance than competing solutions and allows scalability of up to 100s of CPUs and machines.”
Support for FinFET features
How is Quantus providing significant enhancements to support FinFET features?
Parasitic extraction is at the forefront with the introduction of any new technology node. For FinFET designs, it’s a bit more challenging due to the introduction of non-planar FinFET devices. There are more layers to be handled, more RC effects that need to be modeled and an introduction of local interconnects. There are also secondary and third order manufacturing effects that need to modeled, and all these new features have to be modeled with precise accuracy.
Performance and turnaround times are absolutely important, but if you can’t provide accuracy for these devices — especially in correlation to the foundry golden data — designers would have to over-margin their designs and leave performance on the table.
How can Cadence claim that it has the ‘tightest correlation to foundry golden data at TSMC vs. competing solutions’? And, why 16nm only?
According to Moore, the foundry partner, TSMC, asserts that Quantus QRC Extraction Solution provides best-in-class accuracy, which was referenced in the recent press announcement:
“Cadence Quantus QRC Extraction Solution successfully passed TSMC’s rigorous parasitic extraction certification requirements to achieve best-in-class accuracy against the foundry golden data for FinFET technology.”
FinFET structures present unique challenges since they are non-planar devices as opposed to its CMOS predecessor, which is a planar device. We partnered with TSMC from the very beginning to address the modeling challenges, and we’ve seen many complex shapes and structures over the year that we’ve modeled accurately.
“We’re not surprised that TSMC has recognized our best-in-class accuracy because we’re the leader in providing extraction solutions for RF designs. Cadence Quantus QRC Extraction Solution has been certified for TSMC 16nm FinFET, however, it’s important to note that we’ve been certified for all other technology nodes and our QRC techfiles are available to our customers from TSMC today.”
At the recently held Semicon West 2014, Daniel P. Tracy, senior director, Industry Research and Statistics, SEMI, presented on SEMI Materials Outlook. He estimated that semiconductor materials will see unit growth of 6 percent or more. There may be low revenue growth in a large number of segments due to the pricing pressures and change in material.
For semiconductor eequipment, he estimated ~20 percent growth this year, following two years of spending decline. It is currently estimated at ~11 percent spending growth in 2015.
Overall, the year to date estimate is positive growth vs. same period 2013, for units and materials shipments, and for equipment billings.
For equipment outlook, it is pointing to ~18 percent growth in equipment for 2014. Total equipment orders are up ~17 percent year-to-date.
For wafer fab materials outlook, the silicon area monthly shipments are at an all-time high for the moment. Lithography process chemicals saw -7 percent sales decline in 2013. The 2014 outlook is downward pressure on ASPs for some chemicals. 193nm resists are approaching $600 million. ARC has been growing 5-7 percent, respectively.
For packaging materials, the Flip Chip growth drivers are a flip chip growth of ~25 percent from 2012 to 2017 in units. There are trends toward copper pillar and micro bumps for TSV. Future flip chip growth in wireless products are driven by form factor and performance. BB and AP processors are also moving to flip chip.
There has been growth in WLP shipments. Major applications for WLP are driven by mobile products such as smartphones and tablets. It should grow at a CAGR of ~11 percent in units (2012-2017).
Solder balls were $280 million market in 2013. Shipments of lead-free solder balls continues to increase. Underfillls were $208 million in 2013. It includes underfills for flip chip and packages. The increased use of underfills for CSPs and WLPs are likely to pass the drop test in high-end mobile devices.
Wafer-level dielectrics were $94 million market in 2013. Materials and structures are likely to enhance board-level reliability performance.
Die-attach materials has over a dozen suppliers. Hitachi Chemical and Henkel account for major share of total die attach market. New players are continuing to emerge in China and Korea. Stacked-die CSP package applications have been increasing. Industry acceptance of film (flow)-over-wire (FOW) and dicing die attach film (DDF) technologies are also happening.
Christian Gregor Dieseldorff, senior analyst, Industry Research & Statistics Group at SEMI, presented the SEMI World Fab Forecast at the recently held Semicon West 2014, as part of the SEMI/Gartner Market Symposium on July 7.
Scenarios of fab equipment spending over time has been 20-25 percent in 2014, and 10-15 percent in 2015. At this time, worldwide fab equipment spending is about same in 1H14 vs 2H14. As for fab construction projects, 2013 was a record year with over $9 billion.
New fabs: construction spending (front end cleanrooms only!)
2013: record year with over $9 billion.
2014: -22 percent to -27 percent (~$6.6 billion)
2015: -22 percent to -30 percent (~$5 billion +/-).
Fab equipment spending front end (new and used)
2014: 20 percent to 25 percent (~$35 billion to $36 billion) – if $35 billion, then third largest on record.
2015: 10 percent to 15 percent (~$40 billion) – if $40 billion, then largest in record.
Installed capacity for front end fabs (without discretes)
2014: 2 to 3 percent
2015: 3 to 4 percent
Future outlook beyond 2015: less than 4 percent.
SEMI World Fab Forecast report status and activity outlined that there were 1,148 front end facilities (R&D to HVM) active and future. Also,
* There are 507 companies (R&D to HVM).
* Including 249 LEDs and Opto facilities active and future.
* There are 60 future facilities starting HVM in 2014 or later.
* Major investments (construction projects and/or equipping): 202 facilities in 2014, 189 facilities in 2015.
A slow down of fab closures is expected from 2015 to 2018 for 200mm fabs and 150mm fabs.
What does the future hold for MEMS? How can the MEMS indistry stay profitable and innovative in the next five years? The MEMS market is still in a dynamic growth with an estimated 12.3 percent CAGR over 2013-2019 in $US value, growing from $11.7 billion in 2013 to $24 billion in 2019.
This growth, principally driven by a huge expansion of consumer products, is mitigated by two main factors. First, due to a fierce competition based on pricing, the ASPs are continuously decreasing.
Second, innovation is slow and incremental, as no new devices have been successfully introduced on the market since 2003. Fierce competition based on pricing in now ongoing putting thus extreme pressure on device manufacturers.
Some trends are still impacting MEMS business. These are:
* Decrease of price in consumer electronics; ASP of MEMS microphones.
* Component size is still decreasing.
However, successful companies are still large leaders in distinct MEMS categories, such as STMicroelectronics, Knowles, etc. But maintaining growth in consumer electronic applications remains a challenge.
The market for motion sensor in cell phones and tablets is large and continuously expanding. Discrete sensors still decline, but will still be used in some platforms (OIS function for gyros). Next, 6- and 9-axis combos should grow rapidly. Because of strong price pressure and high adoption rate, the total market will stabilize from 2015.
STMicroelectronics, InvenSense and Bosch are still leaders in 3-axis gyros and 6-axis IMUs. It seems difficult for new players to compete and be profitable in this market. The automotive, industrial and medical applications of MEMS are driving growth of MEMS business. MEMS for automotive will grow from $2.6 billion in 2012 to $3.6 billion in 2018 with 5 percent CAGR.
MEMS industry is big and growing. Strong market pull observed for sensors and actuators in cell phones, automotive, medical, industrial.
• Not limited to few devices. A new wave of MEMS is coming!
• Component and die size are still being optimized while combo approaches become mainstream. And several disruptive technology approaches are now in development to keep going in term of size and price decrease.
• But the MEMS industry has not solved a critical issue: how to increase the chance of new devices to enter the market?
–RF switch, autofocus, energy harvesting devices, fuel cells… are example of devices still under development after over 10 years of effort.
–How to help companies to go faster and safer on the market with new devices?
Engineers designing FPGA applications face many challenges. Using Plunify’s automation and analysis platform, engineers can run 100 times more builds, analyze a larger set of builds and quickly zoom in on better quality results. Using data analytics and the cloud, Plunify created new capabilities for FPGA design, with InTime being an example.
Kirvy Teo said: What happens when you need to close timing in FPGA design and still can’t get it to work? Here is a new way to solve that problem – machine learning and analytics. InTime is an expert software that helps FPGA design engineers meet timing and area goals by recommending “strategies”. Strategies are combination of settings found in the existing FPGA software. With more than 70 settings available in the FPGA software, no sane FPGA design engineer have the time or capacity to understand how these affect the design outcomes.
One of the common methods now is to try random bruteforce using seeds. This is a one-way street. If you get to your desired result, great! If not, you would have wasted a bunch of time running builds with you none the wiser. Another aspect of running seeds is that the variance of the results is usually not very big, meaning you can’t run seeds on a design with bad timing scores.
However, using InTime, all builds become part of the data that we used to recommend strategies that can give you better results, using machine learning and predictive analytics. This means you will definitely get a better answer at the end of the day, and we have seen 40 percent performance improvements on designs!
How has Plunify been doing this year so far? According to Teo, Plunify did a controlled release to selected customers in first quarter of 2014, who are mainly based in China. It is easier to guess who as we nicknamed them “BCC” – Big Chinese Corporations.
Unsurprisingly, they have different methodologies to solving timing problems and design guidelines, many of which were done to pre-empt timing problems at the later stage of the design. InTime was a great way to help them to achieve their performance targets without disrupting their tool flows.
Plunify is announcing the launch of InTime during DAC and will be looking to partner with sale organizations in US.
What’s the future path likely to be? Teo added: “Machine learning and predictive analytics are one of the hottest topics and we have yet seen it being used much in chip design. We see a lot of potential in this sector. Beyond what InTime is doing now, there are still many chip design problems that can be solved with similar techniques.
“First, there is a need to determine the type of problems that can be solved with these techniques. Second, we are re-looking at existing design problems and wondering, if I can throw 100 or 1000 machines to this problem, can I get a better result? Third, how to get that better result without even running it!
“As you know, we do offer a FPGA cloud platform on Amazon. One of the most surprising observations is that people do not know how to use all those cheap power in the cloud! FPGA design is still confined to a single machine for daily work, like email. Even if I give you 100 machines, you don’t know how to check your emails faster! We see the same thing, the only method they know is to run seeds. InTime is what they need to make use of all these resources intelligently.
Why would FPGA providers take up the solution?
The InTime software works as a desktop software which can be installed in internal data centers or desktops. It is on longer just a cloud play. It works with the current in-house FPGA software that the customer already own. We are helping FPGA providers like Xilinx or Altera, by helping their customers with the designs. They will feel: How about “Getting better results without touching your RTL code!”
In 2013, the global semiconductor industry had touched $306 billion or so. Sales had doubled from $100 billion to $200 billion in six years — from 1994 to 2000. It was enterprise sales that was driving this. It has taken 14 years to move past $300 billion, said Anil Gupta, managing director, Applied Micro Circuits India Pvt Ltd, at the UVM 1.2 day.
This time, consumption of semiconductors is not only around enterprise, but social networks as well. Out of the $306 billion, logic was approximately $86 billion, memory was $67 billion, and micro was $58 billion. We, as consumers, are starting to play a huge role.
However, the number of large players seem to be shrinking. Mid-size firms, like Applied Micro, are said to be struggling. Technology is playing an interesting role. There is a very significant investment in FinFETs. It may only get difficult for all of us. Irrespective, all of this is a huge barrier to the mid- to small-companies. Acquisitions are probably the only route, unless you are in software.
In India, we have been worried for a while, whether the situation will be a passing phase. We definitely will have a role to play. From an expertise perspective, thanks to our background, we have been a poor nation. For us, the job is the primary goal. We need to think: how do we deliver value? We have to try and keep creating value for as long as possible.
As more and more devices actually happen, many other things are also happening. An example for devices is power. We still have a fair number of years ahead where there will be opportunities to deliver value.
What’s happening between hardware and software? The latter is in demand. Clearly, there is a trend to make the hardware a commodity. However, hardware s not going away! Therefore, the opportunity for us to deliver value is huge.
Taking the tools to make something, is critical. UVM tools are critical. But, somewhere along the way, we seem to stop at that. We definitely need to add value. UVM’s aim is to make things re-usable.
Don’t loose your focus while doing verification. Think about the block, the subsystem and the top. You need to and will discover and realize how valuable it is to find a bug, before the tape out of the chip.
Are we at an inflection point in verification today? Delivering the guest keynote at the UVM 1.2 day, Vikas Gautam, senior director, Verification Group, Synopsys, said that today, mobile and the Internet of Things are driving growth. Naturally, the SoCs are becoming even more complex. It is also opening up new verification challenges, such as power efficiency, more software, and reducing time-to-market. There is a need to shift-left to be able to meet time-to-market goal.
The goal is to complete your verification as early as possible. There have been breakthrough verification innovations. System Verilog brought in a single language. Every 10-15 years, there has been a need to upgrade verification.
Today, many verification technologies are needed. There is a growing demand for smarter verification. There is need for much upfront verification planning. There is an automated setup and re-use with VIP. There is a need to deploy new technologies and different debug environments. The current flows are limitimg smart verification. There are disjointed environments with many tools and vendors.
Synopsys has introduced the Verification Compiler. You get access to each required technology, as well as next-gen technology. These technologies are natively integrated. All of this enables 3X verification productivity.
Regarding next gen static and formal platforms, there will be capacity and performance for SoCs. It should be compatible with implementation products and flows. There is a comprehensive set of applications. The NLP+X-Prop can help find tough wake-up bug at RTL. Simulation is tuned for the VIP. There is a ~50 percent runtime improvement.
System Verilog has brought in many new changes. Now, we have the Verification Compiler. Verdi is an open platform. It offers VIA – a platform for customizing Verdi. VIA improves the debug efficiency.