Navigating the challenges of manual IP design migrations

In semiconductor design, the migration of IP across different technology nodes is a complex but business critical process. This task, traditionally manual, involves a detailed analysis of source and target technologies, migration of schematics and testbenches, and iterative design adjustments to meet specific performance requirements for the final design layout.

The challenges of manual migration

The manual process is intricate and lengthy, taking weeks to months, depending on the complexity of the circuit and IPs involved. Designers must deeply understand circuit behavior across Process, Voltage, and Temperature (PVT) corners, and engage in extensive simulations and iterations to achieve the desired specifications.

Additionally, the rate at which new technology nodes are introduced is accelerating, with each new node introducing more design rule complexity, leading to higher development costs and greater pressure on engineering resources due to the additional time needed to manage the migration process.

A shortage of skilled engineers further complicates the situation, not only extending design timelines and inflating costs due to the premium on expert talent, but also putting companies at risk of falling behind in the fiercely competitive race to secure fab capacity.

Using automation to maximise resources

However, the landscape is evolving, and there is now a range of tools and software solutions on the market designed to tackle these challenges. A key feature to look out for when considering these tools is the use of automation to reduce manual intervention, streamline the migration of designs to new nodes, and optimize designs to save time and cost thus providing a clear advantage over manual processes.

In response to these challenges, Thalia’s AMALIA platform emerges as a prime example, leveraging AI and ML in its suite of tools for advanced analog design, particularly within the PMIC/RFIC domain.

IP reuse diagram
Engagement time saved using AMALIA platform versus manual migration approach.

How AMALIA addresses the gaps in the traditional IP migration flow

The first tool in the platform is AMALIA‘s Technology Analyzer (TA) which automates the initial and time-consuming process of analyzing electrically comparable devices between the source and target Process Design Kits (PDKs) to significantly shorten the time needed for technology assessment and decision-making that would precede any IP migration.

Next, the AMALIA Circuit Porting (CP) tool builds on this analysis, automating the migration of schematics and testbenches with a high level of accuracy and reliability. This step not only maintains the integrity of the original design but also drastically reduces the time required in manual porting.

If circuit porting alone does not meet all the design constraints, AMALIA Design Enabler (DE) uses AI and machine learning to optimize circuit performance, focusing on critical devices and making targeted adjustments. This results in a design that meets, and often surpasses, the required specifications, significantly reducing iterations and the overall development duration.

Lastly, AMALIA‘s Layout Automation (LA) tool ensures that the intelligence gathered during silicon validation is not lost in translation to the final layout. By automating routine tasks and conducting thorough design rule checks, LA maintains the original placement and floorplan, thus upholding the design’s integrity and facilitating a smoother transition to manufacture-ready designs.

A strategic advantage

The semiconductor industry’s shifting towards automated IP design migration is a response to the increasing complexity and pace of technology development. Thalia’s AMALIA platform delivers a comprehensive solution that bridges the gaps in manual design migration flow and offers a unique combination of speed, efficiency, and precision that significantly reduces design cycle time by up to 40%. In turn, associated costs are reduced and time-to-market for new products is faster, offering a strategic advantage to companies looking to stay competitive in a dynamic market.

To integrate an advanced solution like AMALIA into your design workflow and discuss how Thalia can support your needs, please contact us here.

Navigating the semiconductor industry in 2024 and beyond

An Interview with Sowmyan Rajagopalan, CEO of Thalia

In this forward-looking discussion, Thalia’s CEO, Sowmyan Rajagopalan, delves into the semiconductor industry’s transformative trends and how Thalia’s AMALIA suite is a critical tool for semiconductor businesses looking to successfully navigate this dynamic landscape.

Q: With rapid advancements, such as 2nm process technologies, how is the semiconductor industry redefining innovation?

A: The industry is on the brink of a new chapter in innovation, moving beyond Moore’s Law to redefine the limits of semiconductor capabilities. We’re heading towards an era where a 1-trillion transistor chip is within reach with foundational technologies like 3D stacking and monolithic 3D integration driving increasingly sophisticated solutions. These are not incremental changes; they’re revolutionary steps that will power the next generation of electronics.

Q: How does the AMALIA suite align with the semiconductor industry’s evolving landscape, especially in IP design migration and agility?

A: AMALIA is engineered to meet the industry’s growing need for agility. With geopolitical shifts prompting a revaluation of supply chains, design migration and second sourcing have become more than just buzzwords—they’re strategic necessities. AMALIA provides the tools for swift, efficient design migration of analog, mixed-signal and RF IP, ensuring that semiconductor companies can quickly adapt to new foundries and technologies.

Q: The automotive sector is rapidly transitioning to electric solutions and green hydrogen. How is Thalia’s AMALIA suite preparing to support the evolving needs of semiconductor technologies in this area?

A: The electric revolution within the automotive industry is indeed propelling a surge in demand for advanced semiconductor technologies. While materials like silicon carbide and gallium nitride are still emerging, they represent the future of power components in electric vehicles. Thalia is proactive in this area—our AMALIA suite is continuously evolving, incorporating the latest technological advancements. We’re enhancing our design migration tools to support our customers across the semiconductor ecosystem as they explore and integrate these next-generation materials.

Q: AI’s role in semiconductor development is becoming increasingly integral. Can you tell us more about how Thalia’s AMALIA suite is leveraging AI and ML in its solutions?

A: AI and ML have been at the core of AMALIA’s capabilities since its inception. These technologies are crucial for automating complex processes, from technology analysis to circuit optimization. By leveraging AI, we enable more efficient design centering and performance optimization, which are critical for IP reuse across different process nodes. AMALIA’s AI-driven tools have been meticulously developed to reduce design cycle times and costs, ensuring that our clients can remain agile and competitive in the fast-evolving semiconductor market.

Q: In light of the economic growth projections for Asia and the US, how does Thalia position itself in the global market?

A: Thalia is well-positioned to capitalize on this growth. We’re not just observers; we’re active participants as demonstrated by our recent appointment of a business partner in China, enabling our clients to expand their product ranges and tap into new markets with agility. The AMALIA software is a reflection of our commitment to this global expansion, offering a suite of tools that are flexible, efficient, and crucial for companies aiming to lead in their respective markets.

Q: Looking ahead, how does Thalia envision its contribution to the semiconductor industry’s future?

A: Thalia’s role is to enable and accelerate the industry’s momentum. Whether it’s through advancing to new process technologies or powering the automotive sector’s electrification, we are committed to providing solutions that not only meet but drive the market forward. With AMALIA, we offer the means to navigate and influence the changing tides of the semiconductor landscape.

Process technology analysis: Navigating analog IP migration with precision

Analog design migration is a key enabler of innovation in the semiconductor market. It’s no longer just an engineering consideration however, it’s a strategic imperative for any company looking to bring new solutions to market and maintain a competitive edge. More recently, this approach has become even more critical as geopolitical factors introduce supply chain uncertainties, making robust and adaptable design migration strategies essential.

With the industry’s push toward smaller nodes for better power, performance, area (PPA), and cost, the need for an effective migration process is crucial to enhance productivity, manage node complexity, satisfy evolving design rules, and maximize the return on original IP designs.

The critical role of process technology analysis

For design engineers considering migrating an existing analog IP to a new node, a clear understanding of process technology analysis is crucial. Device performance, technology characteristics, functional requirements, and design methodology are integral components that engineers must consider. Precision and strategy are critical to successfully navigating the complexities involved.

Traditionally this analysis would be a labor-intensive manual process, often involving scripts and spanning several months. The resulting resource-heavy analyses and prolonged timeframes frequently causing significant delays to critical business decisions. Given the increasing complexity in technology and market demands, this approach is quickly becoming unsustainable.

Streamlining Migration with AMALIA Technology Analyzer

With Thalia’s AMALIA Technology Analyzer (TA) software however, it is possible to move from away from manual, time-consuming processes, to rapid, automated analysis. AMALIA TA automates the evaluation of device electrical characteristics, providing the essential data businesses need to make quick, informed decisions about the most suitable technology nodes and devices for their projects.

AMALIA TA suggests optimal process nodes and devices, speeds up design porting feasibility, and generates detailed reports that drive sound, data-driven decisions and helps businesses mitigate risks. The turnaround time for analysis with AMALIA TA can be as short as 2 to 4 weeks, a significant improvement on the unpredictably long periods typically associated with manual analysis.

The efficiency of AMALIA TA is rooted in its key features which include a user-friendly GUI, quick device test case setup, and thorough device characteristic extraction using industry-standard simulators like Cadence Spectre and Siemens AFS. It provides detailed reports and color-coded tables that clearly outline parameter differences, supporting the decision-making process. It’s also equipped to run rigorous corners and Monte Carlo analysis, culminating in intelligent reporting on device characteristics and a comprehensive device mapping table.

It does this using a streamlined process with clearly defined steps:

  1. Define: Identify the source and target PDKs, devices, and schematics.
  2. Run Wizard: Auto-generate model sets and test cases, with the option for manual adjustments.
  3. Review & Run Analysis: Examine and tailor model sets and test cases to fit precise needs.
  4. Final Output: Receive a detailed report on device electrical characteristics and a device mapping table, empowering engineers with actionable insights.

Tools like AMALIA TA are revolutionizing the analog design migration process, transforming it into a manageable, precise, and time-efficient endeavor. For design engineers worldwide, AMALIA TA not only keeps pace with technological evolution but ensures leadership in innovation and market responsiveness.

Reducing design cycle time for semiconductor startups: The path from MVP to commercial viability

The journey from an initial concept to a market-ready product in the semiconductor industry is complex and resource-intensive. For startups and spinoffs particularly, evolving from a Minimum Viable Product (MVP) to the commercially viable Proof of Market (PoM) stage, requires efficient and strategic use of technology and resources.

The critical race to Proof of Market

In the semiconductor industry, the race to PoM is a pivotal phase for startups. Given the industry’s inherent challenges and substantial financial stakes, accelerating the journey from MVP to PoM is essential for success.

  • Market Competition: 20% of startups fail due to competition, as reported by CB Insights. In this competitive landscape, moving rapidly from PoC to PoM is crucial.
  • Cost of Failure: The average startup cost in the semiconductor industry exceeds $250 million, with respins adding approximately $25 million each, highlighting the high financial stakes.
  • Time-to-Market Pressure: Delays in semiconductor production, which often lead to significant revenue losses, are a major concern.
  • Design Complexity: The increasing complexity of SoC designs, with market demands outstripping engineering capabilities, adds to the challenge of timely market entry.

Startups, including those in incubation stages, initially focus on demonstrating their PoC by developing an MVP. Often built using technology not ideal for mass production, the MVP’s role is to showcase the concept to early adopters and investors and to secure access to low-cost foundry services. This stage is vital, but the true test of market viability occurs in the transition to PoM when startups face the significant challenge of transitioning their design to technology suitable for commercial mass production.

Reaching PoM 40% faster with AMALIA

Thalia’s AMALIA software suite enables startups to efficiently migrate their analog and mixed-signal IPs to technologies appropriate for Tier 1 foundries or to develop a second product. Utilizing AMALIA’s unique blend of automation and AI-enhanced tools, startups can dramatically cut their design cycle time and operational costs. The suite comprises:

  • Technology Analyzer: Automates the comparison between starting and target technologies, generating a list of compatible devices for efficient design migration.
  • Circuit Porting: Utilizes the output from Technology Analyzer to produce schematics in the chosen technology, preserving placement and floorplan for enhanced design reliability.
  • Design Enabler: Employs AI and machine learning algorithms for optimizing circuit performance when porting doesn’t meet design constraints.
  • Layout Automation: Maintains the intelligence gathered during silicon verification in the final layout, automating repetitive tasks and conducting design rule checks.

By streamlining the design process and minimizing manual interventions, AMALIA facilitates a 40% faster (minimum) move to PoM compared to other analog design migration approaches.

For semiconductor startups, achieving PoM swiftly is a crucial milestone in their journey to commercial success. With AMALIA’s capability to expedite the design migration process startups can reduce financial exposure and design cycle time while effectively positioning themselves in a competitive market. This expedited transition is not just about reaching the market quickly; it’s about ensuring sustainable growth in a challenging and rapidly evolving technological landscape.

The crucial role of second source management and IP reuse in the semiconductor landscape

The global semiconductor industry is witnessing rapid transformation, fuelled by an ever-evolving technological landscape, recent geopolitical tensions and expected growth in 2024. This has magnified the need for diversification within the supply chain and a robust second sourcing strategy. Semiconductor businesses need to be able to reuse and migrate their IP seamlessly between foundries. By harnessing the power of IP reuse through the AMALIA software suite, businesses can achieve supply chain security, mitigate business risks, and improve efficiency and overall reliability. 

Understanding second source management

Second source management is essentially the strategy of partnering with alternative foundries to ensure timely manufacturing and delivery of Silicon IP and IP-based electronics. Given the competitive and unpredictable nature of the semiconductor industry, having an exclusive reliance on a single supplier can lead to potential delays or supply chain challenges. 

Diversifying partnerships through a strategic second source approach allows businesses to spread their dependencies. This not only helps them minimize and mitigate potential risks but also provides a buffer against unforeseen supply chain interruptions, for example queues at foundries for certain technologies and nodes. Moreover, having multiple suppliers in diverse geographical regions can act as an insurance against geopolitical uncertainties, regional foundry availability and unexpected price increases.  

Importance of process node availability

Choosing the right process node is pivotal, defined by its electrical characteristics, the availability of desired devices, and the cost implications of manufacturing. In the subsequent sections, we’ll look at how the AMALIA software suite helps businesses in making informed decisions upfront when considering analog IP migration. 

The benefits of a second source

  1. Risk mitigation: By employing a second sourcing strategy, businesses ensure that product deliveries don’t rely on a single supplier or a supply chain with higher risk profile. This dilution of dependency significantly reduces associated risks.
  2. Supply chain resilience: Second sourcing instills confidence regarding capacity and priority within foundries. Collaborating with a mix of large and smaller foundries offers more flexibility in production, timely deliveries, and the ability to navigate large-scale deals and geopolitical uncertainties

A proactive approach with AMALIA

Being proactive with sourcing begins by identifying critical IP components essential for product functionality and performance. The next steps are: 

  1. Technology Analysis: AMALIA’s Technology Analyzer tool provides a comprehensive comparison of process technologies based on electrical characteristics. This allows for the identification of devices in the target technology that are electrically comparable and more efficient compared to the source IP technology. 
  2. Circuit Porting: AMALIA’s Circuit Porting software translates existing IP design schematics from the source technology and integrates them into the target technology, ensuring that 60-70% of IP blocks meet the required specifications without any design alterations.
  3. Design Verification & Centering: AMALIA’s Design Enabler assists in quickly adjusting circuits to fulfil specific requirements and constraints and helps achieve optimal PPA even if some blocks necessitate design tweaks or architectural changes.
  4. Automated Layout Generation: AMALIA’s Layout Automation tool facilitates the creation of layouts based on existing designs, ensuring accurate device placement and routing while minimizing changes to the existing floor plan and layout

What sets the AMALIA software suite apart is its comprehensive end-to-end nature, covering the entire design flow process and every stage involved. The cumulative speed enhancements at each step leads to significant time and cost savings of at least 40% overall giving businesses an edge in a fiercely competitive market.  

The semiconductor industry’s current trajectory requires businesses to view second sourcing not just as an option, but as a pivotal strategy. Whether it’s about securing product deliveries, reducing supply chain risks, or navigating uncertain geopolitical influences, a well-structured second source management strategy is indispensable. 

Thalia’s AMALIA software suite is revolutionizing this space, offering a time-efficient, cost-effective solution to analysing multiple potential target technology nodes and migrating critical IP from one technology node to another. Whether you’re interested in individual software tools or the entire suite, AMALIA provides both licensing and commercial SaaS-based solutions to cater to diverse business needs. When preferred, Thalia can also help set up and facilitate the use of the AMALIA software directly on a customer’s own servers and data center, ensuring that the IP remains securely within the customer’s controlled environment. 

AI will be increasingly important in EDA, reducing design costs and supporting engineers

Artificial intelligence (AI) is having one of its periodic days in the sun, and dominates the conversation at almost any industry event. The Design Automation Conference (DAC 2023) was no exception, with AI seen by the semiconductor community as both an opportunity and a challenge. 

An opportunity, of course, because AI requires so many chips, from the huge and complex system-on-chips that will power the AI engines and models, to the semiconductors that will be embedded in every device to bring AI to every application.  

The complexity of the chips fuels demand for a wide variety of IP, but this is where some of the challenges are seen. Integrating many blocks of sophisticated IP to form an AI system-on-chip – which may also integrate yet more functionality such as 5G – is a long process, and it requires very advanced skills. There may be hundreds of IP blocks that need to be tested and integrated, with the results recalibrated every time one of the blocks is changed or enhanced. Identifying the cause of a fault or failure may take many engineer-weeks. 

This is true of other chip applications too, of course, including 5G. Engineers with the required skills are in short supply in many markets, and that shortage is worsened by two factors – the number of AI-focused chip start-ups that are now competing for talent, and the increasingly long design cycle for a complex chip, which will consume a growing number of engineer hours before it is ready. 

At DAC, Alberto Sangiovanni Vincentelli, from the University of California at Berkeley, said in a presentation: “The scarce resource of the future is talent. Everyone and his brother wants to study AI. But we don’t have the people to design the chips to implement that AI.” 

DAC buzzed with discussion about how to address the skills gap in electronic design and manufacturing. Some of the ideas were conventional – making electronic engineering more attractive to young people at school and college level, for instance. But of course, another option is to use AI itself, to help or even replace the engineers. 

Some attendees were positive about this development, claiming AI could reduce the time to develop new chips, by taking on some of the tasks of design assistants.  

Of course, others believe such an approach would eventually threaten jobs altogether, especially if the skills shortage eases in future, and the use of AI also entails disruption to tried-and-tested processes and organizational structures. 

But, at least with the current state of AI technology, replacement of engineers is fanciful. Where AI excels is in rapidly gaining actionable insights from huge quantities of data, such as that generated by EDA tools, and that can support the engineers and make their design and verification tasks quicker and less onerous. 

An example is Thalia’s AMALIA software platform. This is an IP re-use platform for analog and mixed-signal ICs, that allows designers to re-use IP blocks quickly and optimise existing IP for new applications. The suite of tools are designed to free up engineers’ time for complex and high-value tasks by automating key processes. The powerful combination of two of the AMALIA tools, the Technology Analyzer and Circuit Porting, which use unique AI algorithms, can be combined typically resulting in up to 70% of IP blocks needing minimal or no changes before they are re-used. This saves a significant amount of engineering time because every block doesn’t need to be manually checked and verified. 

This example shows how AI is already being incorporated into design automation toolsets in order to boost efficiency and improve commercial outcomes. In other words, AI can be a valuable way to support engineers and reduce the time to produce and test complex chips – including those that will, themselves, enable AI processing and applications in future. 

TSMC’s 3nm silicon might not make it into Apple’s iPhone 14 this week, but it’s on its way with some hefty performance benefits

TSMC was last week reported to be starting mass production of 3nm silicon in September, with products based on the node from early 2023

When Intel delayed its orders, it made TSMC think twice about expansion and scaling back capex plans for 2023 but now sounds like things might be getting back on track for 3nm mass production: at least that’s what TSMC is telling investors. A lot rides on Apple deploying the 3nm silicon for its 2023 and 2024 product plans. TSMC’s new nodes usually launched in Spring, so the later launch will have its impacts.

Although Tom’s Hardware states Apple is likely to be TSMC’s first N3 customer, it seems likely that Apple’s iPhone 14 – due to be launched this week – will not contain the latest technology from TSMC.

But the benefits of the migration are clear: N3 versus N5 (5nm) – apart from its more dense logic (1.6X), it offers 10 to 15% improvements in performance and reduced power consumption over 25%. TSMC is already planning its next evolution – not a node change, but a tweak of the 3nm process (N3E).

The benefits of migration are not limited to developments at the bleeding edge. When it detailed plans for 3nm last year, TSMC was also rethinking its highest volume mixed-signal process (28nm – called N28), shifting it to N16FFC (16nm) with significant gains of up to 25%.

As specialists in IP reuse, Thalia helps mixed-signal companies plan for their migration to new nodes or different process technologies. We help to simplify and speed the migration, reducing their time to market and eliminating costly interruptions in the supply of their most important product lines.

Chip shortages, chip surpluses, or is it just a question of strategic choices…?

It’s been three months since our last blog on chip shortages, and a lot has changed in that time, so it’s worth an update and sharing some thoughts on what are the ramifications that may or may not be affecting our industry’s ability to plan in the mid- to long-term. 

Peter Clarke, a long-standing well-informed observer of semiconductor industry trends, reported earlier this month on eeNewsEurope that industry growth is slowing – we’re still talking about 13 percent growth – it’s just less growth. 

Some volatility clearly remains in the market, but the companies with the ‘right’ focus on emerging and fast growth markets are benefiting. The latest set of results from mixed-signal IC leader OnSemi were particularly healthy. It will always be the case that changing market conditions and industry shifts in terms of technologies and applications, benefit those companies that can adapt and evolve and those that simply back the right horse. 

It is also worth mentioning, as we tackled this in the previous post, the world was facing a huge supply issue post-covid and entering periods of significant demand hikes from the automotive and consumer electronics industries, in particular.  

The response to this supply issue was for the well-funded chip manufacturing giants to ramp up and speed up their development plans – and at the same time to further their globalisation plans, thus addressing geopolitical question marks. TSMC’s fabs in the US, Intel investing in Germany – are some of the moves we have seen so far. Europe’s own appetite for a bigger piece of the semiconductor pie has only been fuelled by the slowdown and capacity crunch. 

Gartner also announced recently it is expecting a small drop in chip sales in 2023, following a slowing in mobile phone sales (such a forecasted drop of around 150million, can easily create waves in the semiconductor supply chain in its own right). This is made worse by a predicted 9% drop in personal computer sales by the end of 2022. 

Given the mobile handset’s significant size and global scale, a drop in sales is likely to contribute to an easing of the chip shortage issue – probably later this year or early in 2023 – but, combined with the industry’s drive to increase its manufacturing output, could it create oversupply issues?  

Well, questions are being asked if the US Chips Act is poorly timed, when the industry is potentially facing a slowdown and oversupply issues. But a committed, long-term investment to attract or retain chip manufacturing is unlikely to be a poor strategic choice, in my opinion. 

Time will tell, but as demonstrated by OnSemi, a bit of longer-term planning and strategic marketing in terms of the growth markets, can go a long way to alleviate temporary blips in shortages and oversupply.  

If your strategy includes IP-reuse, to maximise Return on Investment, then talk to our team at Thalia. Or read more about the AMALIA IP reuse platform. 

Exploring IP Reuse opportunities in 2022 at Siemens EDA User2User Europe event

The Siemens U2U event takes place in the US (Santa Clara, CA), and here in Munich, Germany. We couldn’t resist the opportunity to be part of an event on our doorstep where we could learn, share and network with fellow technical experts who design leading-edge products using Siemens EDA tools.

In particular, the well-attended and in-depth user-focused event turned out to be a fantastic opportunity for the Thalia team to really get ‘under the hood’, to understand how things work with the entire Siemens EDA flow and, in particular, how to integrate the Tanner EDA and AFS Simulator into Thalia’s AMALIA solution.

Siemens EDA, then Mentor Graphics, acquired Tanner EDA back in 2015 and the powerful analog-mixed signal tools are now thoroughly integrated as part of the Siemens EDA toolflow. Some of Thalia’s customers utilize the AFS (Analog Fast SPICE) Simulator so in-depth discussions with Siemens engineers and some of the Tanner EDA specialists enabled us to really do some deep-dive discussions which will educate our own customer engagements.

The event also gave the team an opportunity to directly engage with some of our potential customers, to explore how IP reuse using the Thalia AMALIA platform, could help their migration strategies and help them to both accelerate time to market and drive down costs of porting to more cost-effective nodes or manufacturing options.

It was interesting to see what Tanner EDA team presented on an XFAB case study, demonstrating how easy the Tanner custom IC design tools from Siemens are to use and to integrate with best-in-class circuit simulators, Calibre for design rule checking, parasitic extraction and physical verification.

In terms of what opportunities lie ahead for AMALIA and our IP reuse platform, it was really interesting listening to Joe Sawicki, EVP at Siemens EDA in his session ‘From IC to Systems: New Opportunities for the Semiconductor Industries’ which focused on supporting technology scaling which is driven by increasing system complexity and migrating to new nodes but with it comes an escalating cost to create new SoCs of unprecedented size and functionality on accelerated schedules.

Future Horizons CEO Malcolm Penn pondered how the semiconductor industry will continue to perform and how it can be accurately forecast in the face of the death of Moore’s Law.

Overall, an excellent event, and a great deal of knowledge and insight taken away for our own thinking. With thanks to Siemens for putting on this conference. 

Ramifications for planning in the face of chip shortages

This is the third and final blog in a short series of posts looking at the chip shortage crisis our industry is facing. Previous posts looked at the political situations both affecting and attempting to tackle the problems, and how the chip makers are ramping up and investing in their own attempts to sensibly fill the supply gaps and maximize on the opportunities as quickly as possible. 

In a previous recent blog, I’ve set out some thoughts on the realities and impacts of chip shortages on the evolving connected car market.  

S&P are scaling back forecasts on car production for 2022, given the chip supply issue affecting the industry. Automotive industry impact: ‘Toyota and Nissan, have scaled back production and others such as BMW, Ford and Volvo have removed certain features from some cars to enable them to continue production.’ 

In the mobile phone markets, Samsung and Apple have been using their might to maintain their own supplies…but other OEMs have been left struggling
“low-end OEMs…struggled the most to adapt with chip foundries expected to take “years” to spool up to demand.” 

In the face of chip shortages and times of geopolitical uncertainty, shortages will continue in the short to mid-term at least, so OEMs looking to remain competitive will need to continually assess their options and consider moving or duplicating (second-sourcing) designs to secure capacity from more than one manufacturing partner. 

Some Tier 2 fabs are positioned ready to seize the opportunities in these times of uncertainty – they can offer attractive costs and potentially be more responsive and adaptable to customer needs. 

Migrating IP to other fabs, design nodes or process technologies can be complex and, itself, time-consuming (hence competitively prohibitive) unless it’s done with the right tools. That is where we at Thalia can help. For 2022 and possibly into next year we need to help our customers reduce their costs in IP migration through innovative IP reuse, and help to maintain their competitive edge.