system on chip design

Spend any time with Ansys’ John Lee, Rich Goldman or Marc Swinnen and you’ll hear plenty of optimism about the semiconductor industry even though they tick off a long list of looming design challenges. The need for reliable and effective electronic systems, they emphasize, is great and runs through high tech, aerospace and defense, automotive, IoT and 5G with communications being a common denominator. The three are especially bullish these days on changing market dynamics brought on by systems companies building company-specific bespoke, or custom, silicon. These systems companies are building chips with a different perspective and a fresh look at silicon design, a move away from the more traditional segment-specific silicon due to much more complexity. Ansys, a member of the ESD Alliance, a SEMI Technology Community, is a 4,100-employee company with a comprehensive portfolio of multiphysics engineering simulation software for product design, testing and operation products and services. John, Rich, Marc and I focused on Ansys’ semiconductor and electronics segment for our conversation. Smith: When did you notice the move by systems companies to build their own chips? What drives this trend? Lee: The inflection point was about three years ago when hyperscale data center and system companies recognized they needed an enterprise system design platform. They are designing bespoke silicon, driven to do this for cost efficiencies and to avoid relying on outside suppliers. They also want differentiation based on their specific platform needs so they can optimize compute power to their specific needs. Smith: What is driving the trend for multiphysics experience to ensure effective and reliable electronic systems? Lee: The increasing need for multiphysics analysis is acute. The physics of 3D IC, for example, brings in mechanical engineering with the convergence of mechanical and electrical as 3D emerges at the intersection of IC and System. As a result, physics becomes a necessity to analyze the stability of the chip in the package. Goldman: As well, the move to stacked chips, 3D IC and wafer-on-wafer requires thermal, electromagnetic and mechanical analysis in addition to the traditional analysis for function, performance and power. They all need to be analyzed together, not serially. It becomes multiphysics, not multiple physics. Smith: Two distinctly different disciplines – multiple physics and multiphysics – are needed for semiconductor design. How are they different? Why the need now? Swinnen: Multiple physics refers to the sheer breadth of physics that is now needed to analyze from the IC up to the largest system whereas multiphysics refers to the capability to analyze several physical effects concurrently, accounting for their impact on the design and interactions between various physics. Multiphysics are necessary to analyze the full context of the system environment – from nanometers to kilometers – for multi-chip packaging, chip-to-package-to-silicon and systems with multi-domain guidance. Goldman: A self-driving car, as an illustration, includes AI systems-on-chip, solid-state sensors, infotainment systems and radar/lidar detectors that must all work in the rain, the heat and the bitter cold. Smith: Why are design groups being reorganized to include expertise in mechanical and electromagnetic issues? Swinnen: Complexity has exploded, driven by a long list of technical requirements and, perhaps, mischaracterization. Goldman: Just consider the system on chip, mischaracterized by the semiconductor industry. The chip is never a system by itself. Rather, it is a complex component in a larger system and must be analyzed in that context. 3D IC is where this comes together and forces a recognition of physics outside the traditional scope of SoC design. 3D IC chips are much closer together on the board and it takes multiphysics embedded into the workflow of semiconductor design, packaging, system design and 3D IC to ensure they work reliably and efficiently. Smith: What is the solution? Goldman: It’s clear a specialized digital thread is necessary to move disparate groups with expertise in systems, physics and silicon together. Today, these groups or disciplines might not exist in the same company, whether it be a foundry, fabless or outsourced semiconductor assembly and test (OSAT) company. Lee: In order to unify the entire system design environment, a cloud-based, open and extensible heterogenous enterprise compute platform is required. It is similar to the SaaS-based business model and known as Simulation-as-a-Service (also SaaS). While vertical integration of design groups is already taking place at leading system design houses, there have also been advances in electronic design tools. These are starting to offer more comprehensive multiphysics capabilities including thermal, fluid dynamics (CFD), mechanical stress and reliability analysis in a single analysis cockpit. Today’s system designers face two platform challenges: First, they need an environment that is open enough to accept analysis results from multiple sources so that they can be overlapped and cross-analyzed. Second, the design platform must have the capacity to handle the enormous amounts of data generated by the latest 3-nanometer chips and 3D IC systems, and this implies an intimate coupling to elastic cloud computing. The days of an engineer writing Perl scripts and handing it off to someone else are gone. We believe that the industry is responding to this challenge with a new generation of design platforms that a cloud-native, open and extensible to allow heterogenous enterprise design. We are definitely at an inflection point in electronic design today, but the electronic industry has faced these before an we are confident it will master these challenges as well. About Rich Goldman Rich Goldman is director of marketing for the Electronics and Semiconductor Business Unit of Ansys. He holds a Bachelor of Science degree from Syracuse University and an MBA and Master of Science degree in Engineering Management. Moscow Institute of Electronic Technology (MIET)’s first honorary professor, he is also the recipient of honorary PhD degrees from Russian-Armenian (Slavnoic) University and State Engineering University of Armenia for contributions to the advancement of Armenia’s high-tech education and economic ecosystem. Rich served on EDAC’s board of directors. About John Lee John Lee is general manager and vice president of the Ansys Electronics and Semiconductor Business Unit. Lee co-founded and served as CEO of Gear Design Solutions (now Ansys), developer of the first purpose-built big data platform for integrated circuit design. He cofounded two other startups (Mojave Design and Performance Signal Integrity), which successfully exited into companies now part of Synopsys. He holds undergraduate and graduate degrees from Carnegie Mellon University. About Marc Swinnen Marc Swinnen is director of product marketing for the Electronics and Semiconductor Division of Ansys. He holds Master degrees in Electronic Engineering and Industrial Management from KU Leuven, Belgium, as well as an MBA from San Jose State University. About Bob Smith Robert (Bob) Smith is executive director of the ESD Alliance, a SEMI Technology Community. He is responsible for the management and operations of the ESD Alliance, an international association of companies providing goods and services throughout the semiconductor design ecosystem.

In the span of a few short months earlier this year, Mentor Graphics became Siemens EDA and introduced a suite of integrated hardware-assisted verification tools, the first product launch under the new Siemens EDA brand. Jean-Marie Brunet, senior director of marketing, product management and product engineering at Siemens EDA, orchestrated the launch and connected with me for a discussion about the chip design verification space. As he pointed out, verification and validation of systems is a fast-growing and important market segment to the electronic system design ecosystem. Smith: What trends do you see in chip design? What is driving these trends? Brunet: Chip verification costs continue to grow faster than design costs because of factors such as increasing design complexity, rising computing power, surging I/O traffic activity, increasing energy consumption and the widespread use of peripherals. These dynamics are being driven by new data center networking, communications/5G, autonomous driving, artificial intelligence (AI) and machine learning (ML), and storage applications. These trends also indicate the need for more powerful verification tools and expanded verification objectives that include power and performance analysis. Hardware-assisted verification tools are perfect for meeting these demands. Smith: Chip design verification consumes the most time in a project cycle. Why is this so? Brunet: The verification of designs reaching multi-billion gates and supported by voluminous software stacks is fraught with challenges. To exhaustively check every possible state in a billion-gate design with simulation alone would require up to trillions of verification cycles. That’s why hardware-assisted verification is one of the fastest-growing technologies in EDA. Given the complexity of today’s SoC design, it’s no surprise that verification is the largest undertaking in the entire project design cycle, consuming more than 50% of it. It also has the greatest impact on quality, cost and schedule because it prevents designs from failing at first silicon. While a respin of a large design taped out at a node below 10 nanometers could cost more than $10 million, delaying delivery of a new product for a few months in a highly competitive market may cost hundreds of millions of dollars. Smith: What other challenges do engineers face trying to verify a chip design will work as intended? Brunet: Verifying an SoC design is a massive undertaking and, in parallel, verification teams are trying to streamline and optimize verification cycles. SoC design groups are tasked with completing full system-level verification prior to creating production masks by thoroughly vetting all hardware blocks, interactions between those blocks, and the software developed for the end application before the chip is built. To alleviate this enormous pressure, they are starting to adopt a shift-left methodology for early functional verification as soon as individual blocks of a SoC design become available. It helps jump-start embedded software validation before full system validation is completed to save time and allow engineers to work in parallel, not serially. While it is an effective approach, it creates the need for a complete and integrated suite of hardware-assisted verification tools to verify and validate a design’s hardware and software components. Smith: How do you define hardware-assisted verification and how does it help solve these challenges? Brunet: A typical definition of hardware-assisted verification is special purpose hardware to accelerate verification. In other words, hardware emulation and FPGA prototyping. Hardware-assisted verification is a mandatory investment as single-die or multi-die chips get larger with more complexity and more interfaces, making hardware and software code integration critical early in the design cycle. Because software performance defines a chip’s success, the need to perform software workload-based analysis is acute, not just analysis of chip functionality, but also accurate performance and power consumption in the context of real-world applications. Hardware-assisted verification is the only option when hardware and software meet. By combining emulation, desktop FPGA prototyping boards and enterprise FPGA prototyping platforms to work on the same SoC design, a verification group can assemble a complete hardware-assisted verification system for thorough and exhaustive verification and validation. Smith: Where are the big opportunities for hardware-assisted verification? Brunet: New end-user applications are coming from computing and storage, AI/ML, 5G, networking and automotive. Recently released market data from the ESD Alliance shows that in 2020, hardware-assisted verification revenues exceeded $700 million. It is reasonable to assume that revenues of $1 billion will be within reach in the next few years given the amount of chip design activity at advanced nodes below 10nm. Smith: With the design/verification and manufacturing phases of the semiconductor supply chain more closely aligning, what role does hardware-assisted verification play? Brunet: Semiconductor manufacturing and the supply chain that supports it benefits greatly from the continued innovation in verification and validation tools and methodologies. With this innovation, designs are delivered to the manufacturing flow with a much greater chance of passing first silicon with success. This reduces friction in the semiconductor supply chain since IP and chips are available when anticipated. Hardware-assisted verification is a quick-moving, highly leveraged resource that helps a design and verification team to ensure chips are manufacturable and meet the functionality, power and performance requirements for the end-product application. Jean-Marie Brunet is the senior director of product management and engineering for the Scalable Verification Solutions Division at Siemens EDA. He has served for over 20 years in application engineering, marketing, and management roles in the EDA industry, and has held IC design and design management positions at STMicroelectronics, Cadence, and Micron, among other companies. Jean-Marie holds a Master's degree in Electrical Engineering from I.S.E.N Electronic Engineering School in Lille, France. Jean-Marie Brunet can be reached at [email protected]. About Bob Smith Robert (Bob) Smith is executive director of the ESD Alliance, a SEMI Technology Community. He is responsible for the management and operations of the ESD Alliance, an international association of companies providing goods and services throughout the semiconductor design ecosystem.