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 Guest Blogger
David Abercrombie
David Abercrombie
David Abercrombie is the marketing director for Calibre multi-patterning, machine-learning, and licensing applications at Siemens EDA, a part of Siemens Digital Industries Software.

Winning doesn’t happen at the finish line, even in IC verification

 
February 19th, 2024 by David Abercrombie

David Abercrombie

By David Abercrombie

In motor car racing, many people think the win happens on the track, with lightning-fast pit stops ensuring the fastest car takes the black and white checkered flag at the finish line. In reality, the win happened long ago, in the garage, as the car was built and tested and rebuilt. The same is true in integrated circuit (IC) design. Getting a design through a successful tapeout on schedule isn’t just the result of signoff verification. It begins much earlier, back in the design and implementation stages. Finding and correcting critical errors in these early design stages helps design teams make adjustments quickly while layouts are still more open and flexible, avoiding time-consuming and complex fixes during signoff that can play havoc with delivery schedules.

But what happens when that early verification doesn’t match signoff verification? Despite all the work designers put in during the design stages, they may find themselves still trying to fix those hard errors, only now they’re constrained by layout restrictions, and under the gun to meet the schedule. Calibre® shift left (early design-stage) solutions bring industry-leading Calibre signoff-quality verification and design optimization into the design and implementation environments. Shift left verification and optimization can help design teams minimize those late-stage signoff iterations while still delivering high performance, high reliability designs. Using the same qualified rule decks and underlying engines used by the signoff toolsuite, Calibre shift left tools and technology deliver targeted verification that hones in on those errors most critical in early-stage designs, provide thorough analysis of complex design constraints, support designers with guided debugging to enable optimal fixes that remain signoff-compliant throughout the design flow, and apply selective automated design optimizations, all within a user-friendly toolset integrated into the designer’s design or implementation environment.

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Unveiling Apple’s Game-Changing MacBook Pro with M3 Chips

 
October 31st, 2023 by Sanjay Gangal

Apple has once again pushed the boundaries of innovation with the launch of its latest MacBook Pro lineup. Featuring the all-new M3 family of chips, including the M3, M3 Pro, and M3 Max, these laptops promise to deliver unprecedented performance and capabilities. From students to creatives, coders to machine learning programmers, Apple’s new MacBook Pro is set to revolutionize the way we work and play. In this article, we will dive deep into the details of this groundbreaking release, explore the capabilities of the M3 family of chips, and discuss how these laptops cater to a wide range of users.

MacBook Pro with M3 enables users to compile and test millions of lines of code in Xcode with even greater speed.

The M3 Family of Chips

Apple’s M3 family of chips represents a monumental leap in silicon technology. These chips are the first to utilize the industry-leading 3-nanometer technology, promising faster and more efficient performance. The GPU architecture in these chips is a game-changer, thanks to a groundbreaking technology called Dynamic Caching. This innovation allocates local memory in hardware in real time, optimizing memory usage for each task. The result is a dramatic increase in GPU utilization and performance, especially in resource-intensive applications and games.

Additionally, the M3 chips introduce new rendering features, such as hardware-accelerated mesh shading and ray tracing, which were previously unavailable on Mac. These features enhance the visual complexity and realism of scenes in games and other applications.

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The value of a shift left strategy in IC design

 
September 1st, 2023 by Sanjay Gangal

By David Abercrombie and Michael White

No matter what process node you’re working at, or how big or how complex your integrated circuit (IC) design is, design enablement is a complex process that goes through multiple stages. The faster you get your design to market, the better your chances of achieving your market goals. But getting your design to the foundry on schedule, while ensuring the final product will not only be manufacturable, but also provide the intended performance and reliability, all depends on achieving and maintaining high productivity and quality of results throughout the design flow.

IC design companies, like any other business, constantly look for ways to improve and speed up their processes. One approach that has recently gained significant traction is the idea of “shifting left”—performing design layout verification and optimization earlier in the design flow, instead of waiting until the signoff verification stage. However, simply shifting signoff physical verification to earlier stages of the design flow is neither practical nor productive. Signoff verification is intended to apply to full chip designs where all components are complete and connected. Running signoff verification on incomplete or “dirty” designs is not only time-consuming, but also returns millions of errors, many of which are irrelevant, as they are caused by the incomplete nature of the layout. Hardly the increase in productivity the design companies were hoping for.

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IBM Research’s latest analog AI chip for deep learning inference

 
August 22nd, 2023 by Sanjay Gangal

By: Abu Sebastian, Manuel Le Gallo-Bourdeau, Vijay Narayanan

The energy-efficient chip showcases critical building blocks of a scalable mixed-signal architecture.

A rendering of IBM’s analog AI chip.

We’re just at the beginning of an AI revolution that will redefine how we live and work. In particular, deep neural networks (DNNs) have revolutionized the field of AI and are increasingly gaining prominence with the advent of foundation models and generative AI. But running these models on traditional digital computing architectures limits their achievable performance and energy efficiency. There has been progress in developing hardware specifically for AI inference, but many of these architectures physically split the memory and processing units. This means the AI models are typically stored in a discrete memory location, and computational tasks require constantly shuffling data between the memory and processing units. This process slows down computation and limits the maximum achievable energy efficiency.
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EDACafe Industry Predictions for 2023 – Thalia

 
February 1st, 2023 by Sanjay Gangal

By Sowmyan Rajagopalan, CEO, Thalia Design Automation

Sowmyan Rajagopalan

The economic outlook for semiconductor industry in 2023

Since the start of the Covid-19 pandemic in 2020, the global market for semiconductors has not looked very stable. It has made long-term planning tough if not impossible. A forecast fall then turned into a rapid growth, followed by an oversupply problem with excess inventories. In 2021, more than $0.5 trillion units were shipped, which was a record, and represented a significant 26.2% growth in value over 2020.

That growth continued into 2022, with semiconductor industry growing at 7.3%. So what’s coming further down the track?

Due to an oversupply issue and slower demand in consumer electronics, Gartner’s forecast for 2023 is a small decline in the market by 2.5%. Even with that modest decline, we are still looking at a staggering $620 billion semiconductor market this year.

However, the market for automotive electronics continues to evolve to support the rapidly increasing volume of devices in the modern vehicle: from non-critical systems in audio, video, satellite navigation and connectivity devices, to fundamental systems in battery control, and mission critical Advanced Driver Assistance Systems (ADAS) and monitoring systems. Although analysts’ numbers differ, the forecasts for the growth of automotive electronics all show a similar and definite upward trajectory. The automotive industry could be a driving force for the industry – potentially leading the direction of consumer electronics with the largest tier one companies sourcing directly from foundries: changing the power balance and upsetting the decades-old structure of a tiered supply chain in automotive manufacturing.

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EDACafe Industry Predictions for 2023 – Avishtech

 
January 31st, 2023 by Sanjay Gangal

By Kella Knack, Senior Director of Strategic Marketing, Avishtech

Kella Knack

2023: The Year of Refining the Role of EDA Toolsets

One year ago, as an industry as well as a country and world, we were dealing with the remnants of COVID-19 and its resultant effects on business. Those efforts centered on a variety of global issues—fabrication facilities having limited manufacturing staffs and production capabilities; “rolling” shut downs of various facilities; materials shortages; shipping capabilities and cost, and most impactful, the global chip shortage.

The “Sort of” Cloudy Crystal Ball for ‘23

As we move towards the end of 2022 and the beginning of 2023, we are still challenged by on-going global chip shortages. And, there are also two more significant wrinkles:

  • The war in the Ukraine (which has significantly reduced our arsenal of support equipment).
  • The ongoing/growing concern about China’s potential takeover of Taiwan that could compromise our access to crucial electronic manufacturing facilities.

There are some silver linings resulting from the foregoing: new defense contracts the likes of which we have not seen in a long time and U.S.-based chip manufacturing operations that will help to address the global chip shortage and relieve our strong dependency on Taiwanese manufacturing operations.

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EDACafe Industry Predictions for 2023 – Kandou

 
January 30th, 2023 by Sanjay Gangal

By Dr. Amin Shokrollhi, Founder and CEO, Kandou

Dr. Amin Shokrollhi

Plentiful Technological Innovation for 2023

I’m optimistic about the plentiful technological innovation coming in 2023 and foresee a positive outlook for the semiconductor industry. We can expect some of those advances coming from the automotive and IoT segments thanks to the rapid advancements with artificial intelligence and machine learning.

The USB and PCIe markets should offer up some innovation, news and new USB technology as well as consumers and hyperscalers demand higher bandwidth, faster speed and reliable access. It seems high-speed, energy-efficient chip-to-chip link solutions to improve the way the world connects and communicates has never been more important and the semiconductor industry is responding.

From a more global perspective, the U.S. took a leadership role with the signing of the CHIP Act in 2022, a great benefit to for semiconductor. That said, the ongoing conflicts throughout the world could unsettle semiconductor industry a bit in 2023, some markets will suffer and consumer-side spending could be reduced.

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EDACafe Industry Predictions for 2023 – Intento

 
January 30th, 2023 by Sanjay Gangal

By Intento Team

Although chip shortage seems mostly to be behind us, the current economic situation, aggravated by inflation and energy crisis, continues to bring uncertainty to the semiconductor market. Disturbing geopolitical picture due to the war in Ukraine and US-China chip ban battle are shifting our focus to attempts to overcome the divisions instead of jointly working on finding the solutions for the benefit of us all and our planet which is still our only home.

Nevertheless, the demand for new analog and mixed signal circuits remains strong, driven by strong growth markets such as electric vehicles and energy transition in general, even with slowdown in investments observed towards the end of the year.

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EDACafe Industry Predictions for 2023 – Defacto Technologies

 
January 26th, 2023 by Sanjay Gangal

By Bastien Gratréaux, Project and MARCOM Lead, Defacto Technologies

Bastien Gratréaux

During the past few years, we observed that SoC Design should be oriented to be seen as a commodity. A strong demand around SoC compilation is occurring in particular at front-end level. Several major semiconductor companies confirmed that the first versions of SoC should be available “at the glance”. New actors (mainly from software world) start to appear in the market and are part of such new need in terms of press button SoC generation. The strongest need is the ease of access and use of EDA tools so we keep believing that the trend from 2023 will be oriented around the cloud and even if we talk about this for now several years.

To reach such automation and accelerating the process of SoC creation requires that EDA design tools provide a much higher degree of automation to manage design information very early in the design process and at Defacto, we believe it requires a unique and new breakthrough methodology to manage unified design formats. Indeed, all design information, including functional design (RTL), architecture (IP-XACT), timing constraints (SDC), power intent (UPF), physical (LEF/DEF), must be taken into consideration together and as early as possible in the SoC build process.

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EDACafe Industry Predictions for 2023 – ARM

 
January 25th, 2023 by Sanjay Gangal

By Gary Campbell, EVP Central Engineering, Arm

Gary Campbell

In the coming year, we will see a renewed focus on computing power, energy and thermal efficiencies. We’re already seeing this shift to power and energy savings in the infrastructure markets, particularly data centers, and expect this to continue in 2023 with increasing momentum behind performance efficiency.

The role of applications in redefining the user experience will also accelerate, with performance metrics built around the application experience as part of a wider industry push for ‘real-world performance’. The combination of efficiency and performance, not just performance alone, will define future benchmarks.

Whereas 2022 was a year of consolidation, I expect 2023 to be one of innovation. The ground was laid in previous years by providing the ecosystem with the tools to get creative and provide even more compelling experiences on current and future technologies. Mobile gaming is a great example, with ray tracing features on mobile expected to drive ultra-realistic gaming experiences.

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