Solving the problem of growing ASIC respins

Semiengineering.com recently reported on an industry survey showing an increase in respins due to analog circuitry failing or falling out of operable range.

The reasons behind this trend are complex, but the article suggests it comes down to analog tuning – the process of tweaking a design to maximise performance while staying within the operational parameters of the overall circuit. The article also explains that the chief scientist at Mentor, a Siemens Business, analysed the results to determine the scale and scope of this trend – whether it was affecting newer designs on the latest technology nodes, or if it was a universal problem.

Figure 1: Flaws contributing to ASIC re-spins. Source: Wilson Research and Mentor, a Siemens Business

It would be easy to assume that the problem was relating to newer nodes and newer processes, but on review, the issues are affecting technology nodes from sub-7nm to 150nm and higher.

Figure 2: Tuning analog circuit flaws by design size. Source: Wilson Research and Mentor, a Siemens Business

So what’s causing the increase in failures?

Put simply, the complexity of new devices. The number of complex devices is growing, and is set to continue with the expansion of the IoT. Automotive components are also massively on the rise, both in number and complexity, thanks to the developments towards self-driving cars. Companies are trying to fit all circuitry on the same substrate or on a single technology node and schematic simulation isn’t able to accurately assess function and full parameters.

Fig 3: Defect rates for automotive ICs and causes of failures. Source: Mentor, a Siemens Business

There will always be issues arising when working with new nodes and there is a learning curve for design teams to fully come to terms with the limitations, issues and particular traits displayed by these new nodes. Implementing this knowledge into toolsets is only achievable once they are fully understood. But if that learning curve therefore involves respins and ‘back to the drawing board’ moments at increasing frequency, then time to market will be affected for new devices. And increasing time to market for a new chip in a competitive industry can be the difference between market success and failure. Second place really is the first loser.

As IP reuse specialists, this is not news to us. We have worked with many clients evolving analog IP from one technology to another or even from one foundry to another. Most engagements are accompanied with the need to improve power consumption, speed, performance or the physical size of the silicon chip, and when these needs are implemented, they have knock on effects to other characteristics, resulting in the silicon not performing to specification.

We know this; it’s what we do. It’s why we developed our technology analyzer to be able to identify differences between base and target technologies and highlight where a circuit will fail. Our Trifecta, including the AMALIA platform, helps to identify the root cause of an issue and allows our design engineers to nudge a design back into specification before migration; mitigating the need for respins for out-of-tolerance circuits.

As experts in reusing analog IP on different process nodes or technologies, we’ve spent years developing processes to ensure IP works as expected and as needed in target technologies. We do this by deploying our Trifecta – advanced development methodologies, the targeted automation of our AMALIA platform and our design expertise. Using this Trifecta approach means we can verify IPs and their behaviour or performance before migration. Part of the AMALIA platform uses our proprietary technology analyzer to rapidly identify parameters in both base and target technologies to identify issues, allowing our expert designers to tweak characteristics and knock the design into specification.

This methodology, used by us across multiple technology nodes and foundries, has the potential to play a significant role in the fast and efficient migrating of analog IP for the ever-increasing number of IoT, mobile and handheld devices. Analog components sit alongside digital and ensuring everything functions as it should is key in getting new products to market ahead of the competition.

Hands-free driving – and the technology behind it

Hands-free driving could be legal on UK roads by spring next year, the UK government has said. A consultation on the technology involved is under way. Specifically the UK’s Department for Transport (DfT) has issued a call for evidence into automated lane keeping systems (ALKS).

The technology to do this is still very much developing, although we can certainly expect that it will make significant demands on the semiconductor industry that Thalia serves. But first some background.

This consultation looks at level three (of five) on the way to the ultimate aim of completely automated driving. In stage two the vehicle can control both steering and acceleration / deceleration. The automation isn’t classed as self-driving because a human is still required to sit in the driver’s seat and be prepared to take control of the car at any time.

Level 3 vehicles, however, have what are called environmental detection capabilities and can make informed decisions for themselves, such as accelerating past a slow-moving vehicle. The driver must remain alert and ready to take control if the system is unable to execute the task but, in theory, the driver could do other things such as check email or even watch a movie – until the car prompts him or her to take over again.

But don’t get too excited just yet. The UK government’s call for evidence, at some 46 pages, makes some pretty stern safety demands of what it calls ‘a traffic jam chauffeur technology designed to control the lateral and longitudinal movement of the vehicle for an extended period without further driver command’. These demands include a driver availability recognition system, reasonable thresholds designed to prevent unintentional inputs into the override capabilities, a data storage system for automated driving and numerous compliance requirements involving monitoring and control criteria – to name but a few.

But that isn’t all. The ALKS regulation approved in June 2020 by the United Nations Economic Commission is for a system (in its current form) capable of operating at speeds of up to just 37mph. It is therefore designed for situations of heavy, slow-moving traffic on a motorway. Why motorways? Because they go one way and are more controlled and simpler environments than most others. A slow-moving motorway is a good place to try out stage three ALKS.

Elsewhere in Europe, Germany has drafted legislation for level 4 autonomous vehicles. As yet, the legislation remains unpublished, but Germany, as the country of origin for most OEMs relating to the technology behind assisted and self-driving vehicles, could expect to see the reality of self-driving vehicles sooner rather than later. If this is the case, German legislation will likely guide all other nations legislative developments.

Even with the restrictions at levels 3 and 4 of automation, the market seems to be a promising one. According to a report released earlier this year by Acumen Research and Consulting, the global automotive lane keep assist system market is expected to reach a market value of around US$7 billion by 2026 and is anticipated to grow at a CAGR of around 16% in terms of revenue during the report’s forecast period 2019 to 2026.

It will no doubt mean a lot of work supplying a whole new market with tech – and a whole new semiconductor market with relevant IPs. And, of course, this market has a lot of development to do; new requirements, new sensors, new software and new hardware will supersede each other. Within a lot less than ten years, we may see not only level four (vehicles operating in self-driving mode within a limited area) but early level 5 cars: able to go anywhere and do anything that an experienced human driver can do.

As for public acceptance of ALKS, we can certainly assume that even hiccoughs or bad publicity will only slow rather than stop the rollout of this form of automated driving, and that when the first completely autonomous cars arrive – sometime after 2026 in all likelihood – a $7 billion market will just be the start.

SemIsrael: Thalia CTO Sowmyan Rajagopalan discusses the challenges of analog IP reuse  

Looking back on June’s SemIsrael virtual event and reflecting on the topics discussed, it’s clear that the developments taking place in the fields of LIDAR and 5G are having a significant impact on the semiconductor industry.

The need for high speed sensors and data conversion to enable autonomous cars will place an increasing demand on the sector to deliver components quickly and evolve them as technology advances. While full autonomy is some way off, the evolutionary process of connected vehicles will mean that the needs will change as technology becomes more advanced and vehicle systems demand more from sensors and mobile data connectivity.

Machine learning was also prevalent in the agenda and discussions. The benefit of machine learning in migration from one process to another is clear and given the time that can be saved in getting new IPs to market, it’s no surprise that the industry is heading in this direction.

Verification, design, IoT devices and Thalia’s own targeted automation technologies are all areas where we are seeing machine learning play an ever-more important role. High performance circuits, including technologies such as 12FF and 7FF, are increasingly demanding the efficiency and accuracy that machine learning can deliver at pace.

Our CTO, Sowmyan Rajagopalan, presented his paper on addressing technology differences in IP reuse. His presentation is available in the video below. If you would like to understand what Thalia’s targeted automation and migration expertise means for your next project, get in touch to find out more.

Design Considerations

Let’s say that a company buys into our IP reuse proposition. What is the best use of our technology in relation to its portfolio?

First and foremost the market defines everything. Every semiconductor company that designs more than one ASIC has to choose whether to build the portfolio or design new IPs. There are many factors that could potentially impact a decision but from a market point of view it’s all about the revenues these IPs or ASICs could generate – and that is about what the market wants and will pay for and a company’s relationship with its customers.

If an IP that a company builds in a new technology can generate a reasonable amount of money, then the number of licenses or units it sells before it recovers the cost could justify the work.

That in turn is driven by the number of resources required. Should third party help be sought.

What about opportunity cost? Does one choice completely negate another?

You might think that Thalia can impact every one of these considerations. You would be wrong. But there is still a lot we can do.

The cost to redevelop an analog or mixed signal complex IP block can be between half a million to a million Euros, that raises some obvious questions. Can enough licenses be sold to justify the outlay and make a profit? But if the cost to get that IP in silicon validated came down by up to 50%, that’s a game changer. That is something we might be able to help with. Our focus on targeted automation – which we are constantly evolving and improving – means we are able to reduce the design cycle time and hence the cost.

What about resources? How can a company identify them and bring them on board? If a third party–like Thalia – can do that, it might speed up the process and save money.

Opportunity cost, meanwhile, doesn’t need to be either/or. If you have your IPs in different nodes and technologies you don’t need to think in such absolute terms.

A company can look at all of these factors and choose a vendor, though first ensuring that the vendor can scale up to meet its requirements and do so reliably. And if that’s something you are considering, don’t forget to check the vendor’s bona fides and its reputation too. Has it ever promised more than it can deliver?

We have not. We understand our skillsets, the focus of our expertise and t the technologies we work with (though we are constantly evolving on all fronts). We also know that, if the time, place and customer needs fit our offering, then a shorter design cycle in a shorter time – and thus lower costs – are part of our USP.

Layout automation: achievable or illusory?

We are extremely successful efficiently migrating, refining and optimizing existing IP for new technologies and applications. Specifically, we are able to reduce the number of iterations it takes to get from our starting point – analysis of the process technology – all the way to layout migration.

However, layout migration is one step that remains very challenging and it’s worth taking a little time explaining why it remains resistant to automation.

Firstly, layout migration is never uniform: it’s almost by definition a custom design process, in fact. If you move from, say, one semiconductor platform to another or from 40 nanometre to 28 nanometre, it’s not just the names and numbers that change – the chip’s characteristics also change.

The layout needs to factor in those aspects: the way the devices are placed, the metals, the routing, how the chip is configured. But that’s not all. The way you position or place the structures on the layout is also going to have an impact on circuit characteristics. So too is the size of nodes.

Essentially then, the size of the chip is dependent on how you put together the layout – and the factors you are dealing with are not uniform.

Design simulation is also affected. Schematic-level simulations and layout simulations were once comparable. Now they are diverging – mainly because there are various elements that schematic-level models cannot factor in.

Capacitance is another issue. There are fancy equations to explain this but, put very simply, it’s about ever smaller conductor-to-conductor spacing and the knock-on effect of parasitic capacitance, which impacts the frequency ranges and the circuit characteristics. Parasitics in these ever-smaller dimensions have become a big issue.

All of which explains why full-on layout automation is so challenging: it needs to address all the problems layout design can throw up. The reality is it can’t.

But that’s no reason to abandon automation entirely. Our IP re-use platform tool – AMALIA – does not generate a complete layout factoring in all circuit characteristics, device sizes and parasitics. For the moment, that is impossible.

However, generating a base framework that compares with the base design in aspect ratio, device placement and routing of main signal nodes will assist the layout designer with a good starting point. About 20-25 per cent of the layout work should be speeded up when we reach this point. This should happen in the next 12 months.

The goal is to have something that builds a basic framework of the layout. And if you can offer that you will reduce the amount of time a layout designer would have to spend then putting together the layout.

Thus our aim is targeted automation – and that is achievable. What isn’t achievable – and may never be – is an all-singing, all-dancing layout automation tool. If someone offers you that, be very, very wary.

Wi-Fi 6: new challenges – and an adaptable process

The new wave of wireless is here. Known as Wi-Fi 6 (or, less thrillingly, 802.11ax), it delivers four times faster average throughput compared to Wi-Fi 5 with greater than 5 Gb/s data rate capability. That’s a maximum of 9.6 Gbps – theoretical, of course, though the headline rates are still impressive.

Wi-Fi 6 also supports a much larger volume of mobile devices in dense deployment environments (large public spaces like arenas and airports), and it does so more efficiently. If multiple end users (including IoT end users – that is, things as well as people) are being served in a busy environment, Wi-Fi will be able to cope a lot better than its predecessors – and with less drain on batteries or diminishing of battery life.

Wi-Fi 6, as one commentator puts it, couples the freedom and high speed of gigabit ethernet wireless with the reliability and predictability of licensed radio, not least thanks to its use of the channel access mechanism known as orthogonal frequency division multiple access (OFDMA).

It’s the latest innovation from the Wi-Fi Alliance, the industry organisation that since its formation in 1999, has grown with the technology to become a major driver of new Wi-Fi applications and products.

Wi-Fi is one of the most widely implemented and deployed technologies ever invented – and the new iteration shows every sign of continuing that trend. But despite the ubiquity of Wi-Fi, designing RF, analog and mixed signal blocks for Wi-Fi remains a challenge for the engineer – and it isn’t going to go away with the arrival of Wi-Fi 6.

For example, at some point will be required to take this specific version of Wi-Fi 6 and move it from one manufacturing process to another, if a customer so desires, to help that customer lower cost, reduce power consumption, improve performance or enhance manufacturing flexibility, for example.

Let’s be clear about this: we’re not moving from Wi-Fi 4 or Wi-Fi 5 to Wi-Fi 6. That would be an architecture change. This is about shifting manufacturing processes coupled with design improvement – within the technology.

Will dealing with Wi-Fi 6 mean that our work process becomes slightly more expensive or takes more time than before? Perhaps. But it will still be cost-effective, and thus the whole point of analog IP reuse will still be valid.

But, like Wi-Fi, we are constantly improving. We have been able to reduce the number of iterations it takes to get from our starting point all the way to eventual layout migration – and we are continuing that improvement process. We also have a lot of relevant experience to draw on and build on, most notably in dual band Wi-Fi and Bluetooth. This will help us to help our customers to find the cost-effective approach they need, which is our aim in every job we take on – even when it involves a brand-new evolution of Wi-Fi.

We are aware that Wi-Fi 6 will offer new challenges. But the process we will be applying is one in which we are well versed and which can be adapted to this new wave of wireless – if you have the skill and the experience. And we have both.

Presenting in a virtual world

A few weeks ago, our founder and CTO, Sowmyan Rajagopalan, was due to give a presentation at the DATE Grenoble Conference. For obvious reasons, that conference didn’t proceed as planned, with speakers instead giving virtual presentations to the audience remotely.

Sowmyan gave the following presentation, talking about why analog IP reuse is a big problem for semiconductor companies, as well as providing an introduction of who Thalia is and how we can help.

His presentation addresses the decision fork that companies face: designing new IPs or building a portfolio of analog IPs.

Thankfully, this isn’t necessarily an either or situation though. We can help.

Watch his presentation to hear more.

Bluetooth IP migration and leveraging FDSOI back gate biasing feature

These are strange times. Usually face-to-face meetings and conferences are how we catch the pulse of our industry, pick up on trends and opportunities. Without them, these days we need to rely on our experience and listen even more carefully to what customers are telling us to better anticipate and meet their needs.

But even now the direction of travel can be discerned from the themes that dominated at the virtual edition of the DATE conference I took put in last month and those that dominated the most recent IP SoC conference back in December (which feels like a lifetime ago!).

I think it’s true to say that I’m not sure that in either case I could point to genuinely new themes – rather the consolidation and impending commercialization of prospects that have been around for some time.

It’s fair to say we are still a long way from peak autonomous car, certainly as far as trade shows and the press are concerned. The emphasis in Grenoble was around safety and security. From our point of view, we feel our solution can make important contributions to improving cost and time-to-market for a sector that will undoubtedly need to port a wide range of technologies and process nodes. For example, LIDAR systems currently employ costly multitudes of ICs. For the industry to scale – and to realise the $173 billion market value predicted for 2040 – will require timely, cost effective and highly integrated ADCs. This is a demand that pretty much defines the Thalia value proposition.

Yet in Grenoble, as elsewhere over the past 12 months, the overarching theme linking pretty much everything remained 5G (and, of course, autonomous vehicles are currently a strongly touted 5G use case).

After a few tough years, the steady rollout (especially in the US and Asia) of commercial 5G networks makes the semiconductor industry feel a little better about itself. The sense is that new networks based around the new radio are likely to accelerate the currently sluggish smartphone refreshment-cycle. Both Gartner and IDC predict a slight uptick in new smartphone sales in 2020 and agree 5G will be the driver.

The focus on smartphone sales is understandable but, as we have suggested elsewhere, even if a relatively limited range of the many use cases conjured to validate 5G investments come to fruition, the 5G semiconductor opportunity extends way beyond handsets. If vision becomes reality, 5G will become a cornerstone of the full digital platform. This will mark an era in which connectivity and advanced functionality will become part of every conceivable product – from trucks, trains and shipping containers to vending machines and lighting infrastructure.

Which implies a potentially exciting moment for the industry. But the to-do list that needs to be addressed to make all this happen remains fairly lengthy. And some line items are pretty basic. For example, at a network level, to get beyond current consumer data usage applications, there is an urgent need to define core base station product configurations to suit different deployment scenarios. From residential to urban, and from all-in-one to highly disaggregated and virtualized, many physical types of cell will be required to meet all the many requirements of 5G. However, this risks fragmentation, which demands establishing some baseline specifications for each major category of cell, allowing for large scale to be achieved, while leaving individual chip and system vendors the flexibility to differentiate within those frameworks.

Yet despite the challenges, the opportunity is there and Europe’s semiconductor industry needs to leverage its considerable experience and reputation for innovation to make the most of it. To this end, several presenters in Grenoble highlighted Europe’s leadership role in the development of Radio Frequency Silicon-on-Insulator (RF SOI) platforms, based on both PD-SOI and FD-SOI. RF SOI chips are used in the RF switches which help to manage a smartphone’s transmit/receive functions. As 5G evolves, PD-SOI and FD-SOI are set to become extremely important technologies , not least as potential standards for future 5G-mmWave handsets, base stations and small cells IoT. They are also recognized as enablers for new RF domains for sensors and connectivity beyond 5G.

The advantages of FD-SOI in particular are well rehearsed, delivering improved speed, reduced power and a significantly simplified manufacturing process. As I mentioned in a recent blog [add link], this attractive power/performance/cost trade-off is leading growing numbers of clients to make SOI part of their product roadmaps. In the context of the complex service/product/technology evolutions underpinning the 5G Era, SOI is already finding favour in the automotive industry (reduced cost coupled with radiation tolerance are key factors here, while strong RF and analogue performance will ensure it has an important role to play in the role out of IoT products and infrastructure.

The good news is that the home of SOI innovation is in Europe – in Grenoble, in fact, led by key players like Soitec, STMicroelectronics, CEA Leti and Dolphin who are demonstrating the potential of the RF-SOI and FD-SOI design platform to drive the development of fast growing markets like automotive, IoT and aerospace. As a member of the SOI Consortium, Thalia is committed to playing a significant role in this European ecosystem and we have already demonstrated our ability to accelerate the deployment of IP and SoC design into FD-SOI.

Here’s a link to the virtual presentation I gave at the DATE conference.

And see below my video interview with Gabrielle Saucier of Design & Reuse.

Analog FD-SOI : Body biasing techniques enable designers to trade speed and power

Looking back over the last 18 months, there has been a rapid uptake of fully-depleted silicon-on-insulator (FD-SOI) process technologies. With production at foundries such as GlobalFoundries and Samsung now in full swing, more and more analog designers are reaping the benefits of FD-SOI.

At Thalia we’ve been at the forefront of some of these changes, having worked with multiple customer on projects that use FD-SOI technology.

Given that we are now effectively prevented from going to meet with clients and prospects, I thought that now would be a good time to take a look at some of the drivers behind this shift towards FD-SOI, and the benefits and challenges it can bring for the analog designer.

Comparison of traditional and SOI process technologies
Image: STMicroelectronics

Figure 1 contrasts the structures of traditional bulk planar and SOI type transistors. The main difference is the inclusion of a buried oxide layer that isolates the channel of the transistor from the bulk silicon of the substrate. This results in a very thin, controllable channel structure, with much lower leakage currents being ‘lost’ into the device substrate than traditional alternatives.

This in turn improves two key figures of merit for the device. First, standby power consumption is dramatically reduced. Second, the threshold voltage is much more predictable and controllable – yields are improved, and power/performance tradeoffs via voltage scaling are more easily enabled.

The penalty is that FD-SOI transistors are generally not so fast. But one other feature of the technology – particularly important for mixed signal and analog designs – allows smart designers to mitigate this effect. Biasing the body structure at a different voltage to the source enables the designer to trade speed for power: a reverse bias increases the threshold voltage of the device, making it slower, but reducing leakage current; conversely, forward biasing reduces the threshold voltage, increasing the speed of the device, at the cost of power.

Thalia has worked on a number of projects that utilize SOI technologies. A recent RF front end for Bluetooth Low Energy (BLE), for example, used exactly the techniques I have outlined above. We migrated an entire subsystem design, composed of around 30 blocks (including ADCs, PLLs, mixers, amplifiers and power controllers), to a 28nm Samsung FD-SOI process.

The circuit was verified for compliance with design specifications. Design changes were implemented to ‘nudge’ the design to meet the requirements. And we made full use of the body biasing techniques I have already outlined. We used reverse body biasing to keep leakage as low as possible in parts of the circuit in which speed was not a factor; and, where speed was a key requirement, implemented forward gate biasing to increase performance.

We’re expecting increasing numbers of customers to start moving their analog and mixed signal designs to SOI technologies in the coming months and years. The process is not without its challenges: but with an intimate knowledge of circuit design and optimization, and of the subtleties of the processes themselves, there are substantial advantages to be reaped.

Funding technology start-ups: stand out for success

Rodger Sykes, Thalia Chairman and CEOHaving just closed our largest funding round to date for Thalia I thought now would be a good time to reflect on the process and the environment.

Like most start-ups, at Thalia we have been through times when things didn’t go to plan. Getting heard and securing customer engagement is always a big challenge in any business.

But the tough times can make you stronger. By listening to customers and refining our offering and business model, we are now seeing strong interest in our analog IP migration and reuse capability. We’ve identified a real business need: and of course that’s one of the keys to convincing any investor to back your company.

In our case, we’ve understood that helping customers move functionality between processes and between foundries is a key capability for cost reduction and security of supply. We can help the trade off all business managers face between deploying valuable internal experienced resource on new IP development or cost reducing existing IP. We turn the latter into a clearly understood and bounded cost and let the internal designers focus on what they enjoy the most – and where they add most value – developing new circuits.

It is a common belief for early stage companies in the tech sector that it’s VERY hard to raise equity funding. In fact in my experience it’s not. Things continue to be very buoyant in the UK given the strong tax incentives available to investors through EIS and SEIS schemes.

There is a great deal of money around looking for a good investment. But “good” is the key word. Good is partly about the strength of the opportunity, but also about how the story is presented. If you have a less than good story and it’s presented badly, then funding is really hard. So if you’re having trouble, don’t blame the VCs.

Far too many founders focus on the technology, as that is their interest and comfort zone. It’s vital to look at the view from the investor’s side of the table. Most investors see hundreds of plans per month; they rarely understand the technology, it’s about return on their investment. VCs are generally not philanthropists. The key is to stand out. A strong exec summary is a key marketing document; that’s vital to get a face-to-face meeting.

Investors look for proof of a large market and customer interest, defensible IP (in case you really have something big), a team that has experience of building a company and so knows what they are doing (founders or advisors), and a financial plan that says you have thought through how much you need to get to break even and where you are going to spend it. Painful as it is for any early stage team, financials are THE common language across EVERY investment, so that’s an area where it’s good to have put in the effort.

It’s a lot to think about, and to do: securing our latest funding round means that Thalia has ticked all of those boxes. It also shows that you should never be afraid to explore new business models or change if you identify an attractive opportunity.

The key above all, however – once you get beyond the first 2-3 rounds of funding to get over the chasm – is customer revenue. Orders and revenue say customers are willing to pay for whatever you have. So as long as there is a global market to scale into, investors will line up.

And if, like Thalia, you have all those bases covered, the venture capital community will welcome you with open arms.