Current technology, while offering convenience, often require our continuous engagement. Traditional display systems and instrument panels necessitate that users momentarily divert their gaze and refocus, thereby disrupting their concentration. This shift in attention and alteration of the line of sight introduces considerable safety hazards. Consequently, there is a need for innovative display solutions, such as Head-Up Displays (HUDs), which can effectively incorporate critical information within the user’s primary field of view. By reducing distractions, HUDs significantly improve situational awareness and provide crucial real time data which includes speed, navigation instructions, fuel levels, warning alerts and target locations, presented on either the windshield or the combiner. This allows for faster decision making while enhancing user safety.

The prevailing challenges in developing these AR HUD devices stem from numerous design elements and mechanical interferences, which results in inconsistent image quality. The objective is to display dynamic information with wide field of view (FOV) at a virtual distance that is comfortable for the driver’s line of sight. However, packaging a large FOV optical system into the uniquely shaped and increasingly compact dashboard space of vehicles presents significant challenges. This mechanical constraint results in a sub optimal optical path, necessitating multiple iterations of the CAD design, which prolongs the design phase. Due to windshield curvature and variations, prototypes usually exhibit ghosting or double images, non-uniform colour and image distortion. It is imperative to ensure the HUD is legible and has good contrast under all lighting conditions (ambient light and glare caused by internal reflections).
The solution is to implement a virtual first approach, which can be achieved by leveraging the advanced capabilities of CODE V for optical design and optimization, and LightTools for non-sequential illumination and stray light analysis.

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CODE V Capabilities: Optical Design, Packaging and Tolerancing

It is possible to export/import CAD files and use it for both visualization and/or ray tracing in sequential or non-sequential models. It allows engineers to spot clearance issues directly in CODE V, eliminating the need to switch to mechanical design software to see packaging issue.

In terms of optical performance and image quality CODE V offers numerous benefits:

• Design Optimization: Global and local optimization features enable engineers to simultaneously optimize large eye box, virtual image distance and distortions while considering packaging constraints.
• Image quality: aberration analysis and ghost image analysis help predict the anomalies caused by the windshield’s complex geometry and coatings. It allows precise tailoring of internal optics to minimize distortions, eliminate double reflections and ensure superior image quality and uniformity.
• High production variability: CODE V can simulate the impact of manufacturing variations of the HUD system with its comprehensive tolerancing tool. This allows engineers to predict production yields and modify designs, if necessary, in the early stages thus significantly reducing costs.

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LightTools Capabilities: Illumination, Stray Light Analysis and Visualization

Employing the non-sequential ray tracing, advance scattering models and virtual prototyping capabilities of LightTools, it is possible to simulate light interactions with every surface including dashboard, trim and windshield coatings. Detailed photometric and radiometric analysis helps achieve uniform brightness and colour distribution of the projected image, essential for driver comfort and information clarity.

LightTools has various utilities to help analyze the HUD system:

• Image Processor: a true colour or greyscale image can be used for spatial apodization of a source (PGU). This recreates the true colour image after ray tracing through the optical system. It generates the perceived HUD image which allows for objective assessment.

• Solar Source: Used for the sun effect analysis, it is possible to simulate sun glare under various environmental conditions by varying the angles and locations. This helps to identify and ensure good contrast and readability under all lighting conditions.
• Parameter Analyzer: allows visualization of HUD image motion as driver moves within the eyebox.

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The process of developing HUDs can be enhanced through the utilization of CODE V and LightTools, which facilitates the delivery of products that exhibit superior performance. This approach not only accelerates the time to market but also mitigates manufacturing risks, resulting in substantial cost savings.

In today’s automotive landscape, designing a vehicle is no longer just about performance or aesthetics—it’s about people. As comfort, safety, and inclusivity become essential components of vehicle design, integrating human-centric approaches right from the conceptual phase is no longer optional.

This is where RAMSIS makes all the difference.

What is RAMSIS?

RAMSIS (Realistic Anthropometric Mathematical System for Interior Comfort Simulation) is the world’s leading digital human modelling (DHM) software, developed by Humanetics Digital Europe GmbH (former know as Human Solutions). It enables engineers and designers to simulate human interaction with vehicle interiors early in the design cycle using virtual manikins derived from real-world human body data.

From driver workspace design to posture validation and reach analysis, RAMSIS ensures that products are ergonomically optimized, safe, and ready to meet international regulations before any physical prototype is built.

Why Ergonomics Matters in Vehicle Design

Every interaction—be it steering, entering and exiting, adjusting a seat, or reaching a control—affects user comfort and safety. Poor ergonomics can lead to fatigue, discomfort, or even safety hazards.

With RAMSIS, vehicle manufacturers can account for variations in body size, gender, age, and regional population characteristics, ensuring the design suits real human needs. This is especially important today, as vehicles become more diverse in form—electric, autonomous, off-road, or specialized.

Key Capabilities of RAMSIS

• Vision analysis
• Reach and accessibility validation
• Ingress/egress simulation
• Posture and seat comfort evaluation
• Customizable avatars with country-specific anthropometric data

Seamless Integration and Flexibility

RAMSIS supports effortless integration with major
design platforms, including:

• CATIA V5
• 3DEXPERIENCE Platform
• SIEMENS NX

It is also available as a standalone application,
providing flexibility for teams using varied design tools.

Broad Industry Applications

While RAMSIS is widely used in the development of passenger vehicles, commercial vehicles, defence, and aircraft, it has also gained significant traction among two-wheeler and three-wheeler OEMs. As these industries begin prioritizing ergonomic standards, RAMSIS offers a reliable way to evaluate rider posture, seat height, and control accessibility even at early stages.

The Advantage: RAMSIS’s Core Strengths Over Its Competitors

1. Anthropometric Database
   One of RAMSIS’s most powerful differentiators is its extensive and validated anthropometric database.

Anthropometry is the scientific study of human body dimensions—such as height, limb length, joint angles, and sitting postures. It plays a vital role in ensuring that product designs are tailored to the target user population.

RAMSIS includes region-specific anthropometric data for nearly every major geography—except Africa—and supports multiple population groups, age ranges, and genders.

In India, RAMSIS incorporates the ARAI Size India Database, which is valid until 2040. This allows OEMs to design vehicles for future Indian populations. For instance, if you’re designing a car to launch in 2030, RAMSIS enables you to simulate what the average male and female body proportions will look like by then—ensuring future compliance and customer comfort.

2. Scientifically Developed Posture Models
   Another major advantage of RAMSIS lies in its realistic posture models—carefully developed to reflect actual human body behaviour in different scenarios.

Posture models in RAMSIS are standardized, ergonomically optimized representations of how humans sit, stand, reach, or drive in real-world conditions. These aren’t arbitrary or algorithmically guessed poses—they’re the result of detailed empirical research.

Humanetics Digital Europe GmbH (formerly known as Human Solutions) developed these posture models by conducting live physical studies. For every posture model—be it for a driver, passenger, or operator—more than 40 real participants were observed sitting or standing in the target position for up to 3 hours. Each participant was analysed for posture consistency, comfort, and biomechanical alignment, and the results were fed into RAMSIS’s model framework.

This hands-on, data-driven process ensures that RAMSIS posture models are scientifically validated and ergonomically optimized, offering unmatched realism compared to other DHM tools.

 

What’s New in RAMSIS NextGen

The latest version of RAMSIS—NextGen—features a refreshed interface, improved simulation accuracy, and greater flexibility for creating manikins. It supports more detailed analysis scenarios for both traditional and next-generation mobility solutions.

Conclusion

RAMSIS bridges the gap between digital design and real human experience. With its unmatched anthropometric database, scientifically validated posture models, powerful simulation capabilities, and seamless CAD integration, it enables OEMs to develop vehicles that are ergonomically sound, regulation-compliant, and ready for the future.

In the upcoming blogs, we’ll explore practical use cases, deep dive into RAMSIS modules, bodybuilder tools, and share real-world best practices for ergonomic validation across different vehicle platforms.

In mineral exploration and mining, understanding the subsurface is everything. The success of any resource evaluation hinges on one critical component — the geological model.

This model isn’t just a technical requirement; it’s the foundation for informed decision-making, financial evaluation, and long-term mine planning. An efficient geological model transforms data into confidence — and that confidence drives value.

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The Backbone of Mineral Resource Estimation

Mineral Resource estimation and classification rely heavily on the accuracy of the orebody’s geometry. That geometry is captured through a 3D geological model — a digital representation of what lies beneath the surface.

But creating that model isn’t simple. It’s shaped by structural and depositional complexity, which is initially defined through limited drilling information. At early project stages, geological interpretation must be done with caution, as the available data only tells part of the story.

As more information becomes available, the geological model must be updated and refined. This ensures that resource estimates remain well-constrained, reducing the risk associated with grade continuity assumptions and resource classification.

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From Data to Understanding: The Power of Ongoing Refinement

The model’s refinement is a continuous process. Each new drillhole adds depth to the geological story — not just in data, but in interpretation. Along with updated grade statistics and spatial correlations, the working knowledge gained over the life of the mine plays a vital role. Familiarity with the deposit and the modeling software are also key.

Refinement ensures that the geological model stays current and reliable, leading to better decisions at every stage of the mining value chain.

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Managing the Most Valuable Asset: Geological Data

In exploration and mining, geological data is the single most important input into any technical or financial assessment. It defines the location, geometry, and grade of the orebody — all critical for understanding the potential value of a deposit.

That’s why mining organizations invest heavily every year to:

• Acquire new geoscientific data
• Make new geological interpretations
• Maintain, manage, and interrogate historical data

As analytical technologies and interpretation methods evolve, even older data can increase in value — provided it’s well curated.

But collecting the data is just the beginning.

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Turning Data into Action with Geological Modeling

To make meaningful use of that data, companies must convert it into an accurate, reliable 3D geological model. That’s where tools like GEOVIA come in — helping teams visualize subsurface geology, test hypotheses, and make smarter decisions on surface and underground.

Efficient geological data management enables:

• Better understanding of mineral distribution
• More accurate risk assessments
• Smarter mine planning and development
• Operational excellence across the value chain

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What Makes a Geological Model Work?

A 3D geological model is a digital, visual, and interactive representation of subsurface structures and rock properties. It integrates various data types — from drillhole logs and geophysical surveys to rock characteristics — to build a clear picture of what’s underground.

Creating this model involves four essential steps:

• Data Collection and Analysis
  Gathering comprehensive data — including drillholes, geophysics, and geochemistry — to understand the geological setting.
• Interpretation and Correlation
  Identifying geological structures like faults, folds, and mineralized zones. Correlating all available data builds a consistent geological narrative.
• Model Construction
  Using specialized software such as GEOVIA to build a three-dimensional view that integrates all geological interpretations.
• Validation and Refinement
  As new data becomes available, the model is updated and refined — ensuring it reflects the most accurate understanding of the subsurface.

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Conclusion: The Strategic Value of Geological Modeling

An efficient geological model is more than a technical tool — it’s a strategic asset. It supports better decisions, reduces uncertainty, and unlocks the full potential of your mineral resource.

With the right processes, tools, and commitment to continuous improvement, your geological model becomes a source of confidence — from exploration through to production.

 

Additive Manufacturing (AM), commonly known as 3D printing, is revolutionizing industries from aerospace to healthcare, offering unparalleled design freedom, reduced waste, and cost-effective production. Among the various AM technologies, extrusion-based Additive Manufacturing (EBAM) stands out as one of the most versatile and widely used processes. Whether you’re a seasoned engineer or someone curious about 3D printing, EBAM is a fascinating and transformative approach to manufacturing that’s worth exploring in detail.

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What is Extrusion-Based Additive Manufacturing?

Extrusion-based Additive Manufacturing, often synonymous with Fused Deposition Modelling (FDM) or Fused Filament Fabrication (FFF), is a process where material is deposited layer by layer to build a 3D object. It typically uses thermoplastic polymers as the raw material, which are fed into an extrusion nozzle. The material is heated, melted, and extruded onto a build platform, solidifying as it cools.

The process is highly accessible, making it ideal for both prototyping and end-use applications. Its popularity is driven by several key advantages such as low cost, availability of materials, and ease of use, which have made EBAM the go-to option for industries and hobbyists alike

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The Working Principle of EBAM:

The EBAM process starts with a digital 3D model, which is sliced into multiple layers using slicing software. These layers are then translated into machine code that guides the movement of the extruder and build platform. The raw material, usually in filament form, is pushed through a heated nozzle. As the nozzle moves along the X and Y axes, it deposits molten material in precise patterns, forming a single layer. Once the first layer cools and solidifies, the platform moves down (or the nozzle moves up) along the Z axis, and the next layer is extruded on top. This process repeats until the entire object is printed.

Key factors that influence the process include the temperature of the nozzle, the speed of extrusion, layer thickness, and cooling rates, which must be carefully controlled to ensure good adhesion between layers and the overall strength of the final product.

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Materials Used in Extrusion-Based AM:

The flexibility in material selection is one of the reasons for EBAM’s widespread adoption. The most common materials include:

• PLA (Polylactic Acid): A biodegradable thermoplastic, PLA is easy to print, has low warping, and is ideal for beginners.
• ABS (Acrylonitrile Butadiene Styrene): Known for its strength and durability, ABS is a bit more challenging to print due to its higher extrusion temperature and warping issues but is perfect for industrial applications.
• PETG (Polyethylene Terephthalate Glycol): Combining the ease of PLA and the strength of ABS, PETG is a highly versatile material used for both consumer and professional applications.
• Engineering-grade materials (Nylon, TPU, PEEK): These are increasingly being used for functional parts in aerospace, automotive, and medical fields.
• Composite filaments like carbon fibre-infused PLA or metal-infused plastics are also available, expanding the range of mechanical properties achievable with EBAM.

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Advantages of Extrusion-Based AM:

1. Affordability:

Compared to other AM processes like Stereolithography (SLA) or Selective Laser Sintering (SLS), extrusion-based AM systems are significantly more affordable. This has made them highly popular for rapid prototyping, small batch production, and even custom end-use parts.

2. Material Flexibility:

The range of materials that can be processed through extrusion-based systems is ever-growing. This flexibility enables engineers and designers to select materials based on the specific mechanical, thermal, or aesthetic properties required for their application.

3. Scalability and Accessibility:

Desktop 3D printers, which often use FDM technology, have brought extrusion-based AM into homes, schools, and small businesses. However, large-scale systems are also available, making EBAM scalable for larger industrial applications.

4. Ease of Use:

EBAM is relatively easy to operate, even for beginners. The technology is mature, and user-friendly slicer software makes it possible to quickly convert 3D designs into printed objects with minimal technical knowledge.

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Challenges and Limitations:

While extrusion-based AM has many advantages, it also comes with its set of challenges:

• Surface Finish: One of the biggest limitations of EBAM is its relatively coarse surface finish compared to other AM technologies. Post-processing may be required to smooth surfaces.
• Speed vs. Quality: There is often a trade-off between speed and print quality. Higher print speeds can reduce detail, while slower speeds produce better quality but increase print time.
• Layer Adhesion: Ensuring strong bonding between layers is critical for the mechanical integrity of the part. Inconsistent cooling or material flow can lead to weak spots or warping.

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Applications of Extrusion-Based AM:

Despite some limitations, EBAM is transforming how products are designed, prototyped, and manufactured. Its applications are vast and diverse, including:

• Prototyping: Companies use EBAM for rapid prototyping, allowing them to iterate designs faster and more cost-effectively compared to traditional manufacturing.
• End-Use Parts: Custom parts for niche markets, such as spare automotive components or healthcare aids, are increasingly being made using extrusion-based technologies.
• Educational Tools: Many schools and universities use desktop FDM printers to teach design and engineering, giving students hands-on experience with cutting-edge technology.
• Art and Design: Artists and designers leverage the freedom of form and material provided by EBAM to create unique sculptures, jewellery, and consumer products.

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Future – Outlook:

The future of extrusion-based Additive Manufacturing looks promising. As material science continues to evolve, new composite filaments, high-strength thermoplastics, and bio-based materials are being introduced, expanding its scope. Additionally, advancements in multi-material printing, large-scale extrusion systems, and hybrid AM processes promise to overcome current limitations like surface finish and part strength.

In industries such as aerospace, automotive, and healthcare, extrusion-based AM is increasingly being integrated into supply chains, not only for prototyping but for functional parts and components. As these technologies continue to develop, we can expect them to play an even more significant role in the future of manufacturing.

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Conclusion:

Extrusion-based Additive Manufacturing has made 3D printing more accessible than ever before. Its affordability, versatility, and ease of use have democratized the field of manufacturing, allowing businesses, engineers, hobbyists, and educators to innovate without the constraints of traditional methods. While challenges remain, continued advancements in materials and technology are propelling extrusion-based AM into a new era of possibilities, driving its adoption across industries. Whether you are looking to create prototypes, custom parts, or even final products, extrusion-based AM offers an exciting pathway toward innovation.

Stay tuned to our Blog series to get further information on the above technologies in detail.

In today’s rapidly evolving world, companies across all industries are constantly looking for ways to innovate, streamline their processes, and reduce time-to market. Dassault Systèmes 3DEXPERIENCE platform is at the forefront of this revolution, providing a unified, collaborative, and intelligent environment for product development. This powerful platform is transforming industries by enabling the design, simulation, and manufacturing of products in a digital world, before bringing them into reality. What is the 3DEXPERIENCE Platform? The 3DEXPERIENCE platform is a comprehensive, end-to-end suite of tools that empowers companies to design, simulate, manufacture, and operate products in a virtual environment. Whether you’re an engineer, designer, or manufacturer, this platform connects people, data, and processes in a way that drives efficiency and enhances collaboration.

• Unified Environment: Instead of relying on different software for CAD, CAM, CAE, PLM, and other processes, 3DEXPERIENCE offers all these capabilities in a single, integrated platform.
• Collaboration Across Teams: It facilitates real-time collaboration, no matter where teams are located, ensuring that the right people have access to the right information at the right time.
• Cloud-Based Flexibility: With the 3DEXPERIENCE platform being cloud-based, companies can scale their operations, access data anywhere across the globe and ensure that their digital infrastructure grows with them.

 

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Revolutionizing Industries with 3DEXPERIENCE

1. Enhancing Product Design

The core of the 3DEXPERIENCE platform is its ability to help businesses create innovative products. With tools like CATIA, engineers can design products with incredible detail and accuracy. The platform also integrates advanced simulation tools that allow for testing and optimization before a physical prototype is created, saving time and reducing costs.

2. Streamlining Manufacturing

Through DELMIA, the 3DEXPERIENCE platform also offers solutions for digital manufacturing and production planning. Manufacturers can virtually simulate their entire production process, ensuring efficiency and minimizing waste before the first item is produced. Additionally, using tools like SIMULIA, companies can predict product performance under real-world conditions.

3. Building Digital Twins for Better Decision-Making

A virtual twin experience is a representation of the real world based on mathematical models and scientific laws, not just a digital copy of it. It combines the virtual, in the form of an abstract model of an object and the real, in the form of data coming from the enterprise, the Internet of Things and the cloud.

Powered by the 3DEXPERIENCE platform, virtual twin experiences enable a closed-loop connection between the virtual and real worlds. Stakeholders continuously experiment, derive knowledge and optimize it by exploring all possibilities and scenarios. This convergence of the virtual and real worlds and the continuous cycle of information between the two achieve a closed loop allowing the following benefits:

• Accelerate sustainable innovation
• Support creation of value network
• Empower the workforce of the future.

 

 

One of the standouts features of the 3DEXPERIENCE platform is its ability to create “Digital Twins” virtual representations of physical assets. This allows businesses to monitor, manage, and optimize products throughout their lifecycle. The digital twin can provide real-time insights into the performance of an asset, enabling predictive maintenance, design improvements, and more informed decision-making.

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The Future – Cloud-Based Collaboration

In today’s globalized world, collaboration is key to innovation. The 3DEXPERIENCE platform excels in enabling real-time collaboration across different teams, departments, and even geographical locations. This cloud-based platform removes the barriers of distance, enabling teams to share data, work on the same models, and contribute to projects seamlessly.

Companies are no longer tied to their physical locations or specific hardware. Whether teams are in the same office or scattered across the globe, the 3DEXPERIENCE platform allows everyone to stay connected and engaged in the development process.

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Driving Sustainability and Innovation with 3DEXPERIENCE

The platform is also crucial for companies focused on sustainability. By enabling virtual testing, optimization, and simulations, 3DEXPERIENCE helps reduce the need for physical prototypes, lowering material waste and energy consumption. Furthermore, the platform’s advanced analytics capabilities help businesses optimize their designs and operations for maximum sustainability.

In an Era, where environmental impact is more important than ever, Dassault Systèmes 3DEXPERIENCE provides the tools necessary to innovate sustainably, without compromising on quality or performance.

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Conclusion: The Future of Product Innovation

The 3DEXPERIENCE platform from Dassault Systèmes is more than just a set of tools, it is a comprehensive solution that empowers companies to innovate, collaborate, and grow in a rapidly changing world. With its ability to integrate design, simulation, manufacturing, and lifecycle management into one platform, businesses can reduce time-to-market, cut costs, and enhance the quality of their products. The future of product development is digital, collaborative, and intelligent and the 3DEXPERIENCE platform is leading the way.

Overview

Synopsys is one of the world’s leading EDA (Electronics Design Automation) tools provider and has verification, IPs and Software Security portfolios. Their tools are used by most of the Semiconductor companies across the globe to bring up their ASIC (Application Specific Integrated Circuit) and SoC (System on Chip) to power the present digital world.

Modern digital needs like social media, e-commerce, ed-tech, advanced aerospace and defense applications like satellite communications and RF and data centers require advanced chips with extremely high processing and computing speeds. Having foreseen these demands, semiconductor giants such as Intel, SAMSUNG, Qualcomm, NVIDIA, ARM, AMD, Micron, Microchip etc., are competing each other by introducing high performance chips to meet the market needs at a faster pace.

 

Importance of Synopsys EDA tools in Chip design

They minimize the risk and reduces the trial-and-error costs. The chip cannot be altered once it is manufactured. Their designs are extremely complex and involves high development and R&D cost. The tools can diagnose complex physical problems as quantitative models, simulate circuit process in virtual software, and reproducing multiple effects in the chip development cycle. One of the highlights of Synopsys EDA suite is to simulate and optimize the PPA (Power, Performance and Area), which solves the multiple objectives and problems and reduces the cost of trial and error.

 

Chip designing Process

The chip designing process is divided into Front end Design and Back-end design.

Front-end Design:

Front end which is known as logic design involves the functional design of the chip. From defining the chip architecture to generating the netlist is the front-end design, which also involves a functional verification to verify the circuit functions and logic.

Design:

RTL creation can be performed using the Euclide and Synopsys RTL Architect is a predictive RTL design solution that provides early predictions of the impact of the RTL changes on your PPA.

Lint, CDC (Clock Domain Crossing) and RDC (Reset Domain Crossing)

RTL errors are very crucial in SoC design which may lead to design failure or even re-spins of the chip. Synopsys SpyGlass offers early RTL Analysis during the RTL design phase to avoid linting, CDC and RDC errors.

Simulation (Functional Verification)

Synopsys VCS tool is a widely popular tool for the formal verification to simulate the RTL design meeting its design specifications. VCS is capable of mixed language simulation, supports UVM, OVM VMM methodologies, and Verification IPs. All the gate level simulations and power simulations can be performed in VCS.

DFT – Design for Testability

DFT is a testing technique in IC design during the manufacturing process by implementing additional design features to ensure the designed circuit is free from any kind of manufacturing defects. Synopsys TestMAX DFT is a comprehensive tool which supports all essential DFT such as boundary scan, scan chains, core wrapping, test points and compression. They can be implemented using TestMAX manager for early validation of the corresponding RTL or with Synopsys Synthesis tools for generating the netlists.

Synthesis:

Design compiler and Synplify are the two Synthesis solutions from Synopsys for the IC designs and FPGA designs respectively, which are widely popular across the industry. Design compiler supports mixed language placement aware synthesis, optimization of multi voltage, low power synthesis, placement aware physical synthesis and multi-threading. Synplify has faster runtime, performance, area optimization for cost and power reduction, multi–FPGA Vendor support, incremental and team design capabilities for faster FPGA designs.

 

Back-end Design:

Back-end which is also known as Physical design involves process related design. The major activities are placing and routing the millions of transistors on a chip, to optimize the Power, Performance and Area.

Physical Design: Physical Design comprises of Floor Planning, Place and Route, Power planning, Low power analysis and Power estimation. All these can be achieved by using Synopsys IC Compiler.

Physical Verification: Correctness and reliability of the physical layout of the ICs are verified through a critical process of Physical Verification. The process involves verifying the design against a set of design rules to ensure that the final product functions are intended. Synopsys IC Validator can perform the Design Rule Checks (DRC), Layout versus Schematic (LVS), Electrical Route Check (ERC), GDS comparison, Netlist-to-Netlist verification, Layout vs Layout and Antenna Checks.

Sign-off: Synopsys is a leading solution provider in the design sign-off innovations, which addresses the challenges of complex design, scale and new requirements for chip design on advanced processor nodes. The sign-off is done with Synopsys IC Compiler II.

 

 

Synopsys IP Solutions:

Synopsys Silicon IPs are the most popular and has a wide portfolio of solutions with proven results across the industry. Logic Libraries, Embedded Memories, Interface IPs, Embedded Processors and Subsystems fall under the IP portfolio. The IPs are optimized for a wide range of market segments like Internet of Things, Automotive, Artificial Intelligence, 5G Mobile and Data Center.

Synopsys Manufacturing Solutions:

Synopsys is a market leader in offering the Silicon Manufacturing and Silicon Life cycle management solution. It includes TCAD (Technology Computer Aided Design), Mask Synthesis and Manufacturing Analytics. The Synopsys manufacturing solutions are customized for expertise in IC design, mask synthesis, process modelling, on-chip test and monitoring techniques and cloud-based analytics.

 

How Foundries are benefiting with Synopsys

Synopsys is collaborating with Intel for developing interface and Foundation IPs for Intel Foundry’s latest process for their high-power efficiency System-on-Chips. They have been collaborating for decades to accelerate the design productivity. Intel and Synopsys together are driving the next gen system innovations for a wide range of applications like High Performance Computing (HPCs), Automotive, Mobile and Aerospace.

Taiwan Semiconductor Manufacturing Company Limited, which contributes more than 50% of the market share in chip manufacturing is also collaborating with Synopsys by using their silicon IPs, EDA Tools and multi-die system design flow and Photonic IC design flows for their advanced process technologies. This collaboration of over 20 years have helped them deliver high quality interface IPs and foundation IPs for their process technology from 180nm to 3nm for applications like HPCs, AI, Automotive and Mobile.