Synopsys
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Smart, Secure Everything—From Silicon to Software
Synopsys technology is at the heart of innovations that are changing the way we live and work. The Internet of Things. Autonomous cars. Wearables. Smart medical devices. Secure financial services. Machine learning and computer vision. These breakthroughs are ushering in the era of Smart, Secure Everything―where devices are getting smarter, everything’s connected, and everything must be secure.
Powering this new era of technology are advanced silicon chips, which are made even smarter by the remarkable software that drives them. Synopsys is at the forefront of Smart, Secure Everything with the world’s most advanced tools for silicon chip design, verification, IP integration, and application security testing. Our technology helps customers innovate from Silicon to Software, so they can deliver Smart, Secure Everything.
Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every day. Source
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| Scope | International |
|---|---|
| Language | English |
| Country | United States of America |
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Recent Articles
Search ArticlesGenerative Topology Optimization of Pump Housings in Ansys Discovery Software
Topology optimization is not only a lightweighting exercise. When combined with realistic loading, support variations, manufacturing controls, reverse engineering, and validation, it becomes a practical workflow for creating structurally efficient, manufacturable components. Topology optimization helps engineering teams move beyond incremental material removal and toward simulation-driven structural innovation.
Engineering the Stuff That Innovation Is Made Of
Sustainability Forces the Shift From Selection to Innovation Sustainability has shifted materials engineering from a performance-only discipline into a multi-objective design challenge, where teams must meet functional requirements and demonstrate progress on circularity, carbon, and responsible sourcing. Meeting these often-conflicting objectives requires mathematical optimization.
Power Up Battery Manufacturing With Simulation, AI, and Digital Twins
Maximize Digital Twins From Start to Finish Traditionally, engineers and designers introduced simulation to improve design or as a post-analysis verification tool. However, with advanced technologies like sensors, AI/ML, and digital twins, battery manufacturers can maximize simulation throughout the entire product life cycle well beyond design, creating a digital thread that boosts collaboration across teams.
Marelli Speeds Electric Motor Cooling Simulations by 40%
At 90%, electric motor technology is the clear leader in driving efficiency. Yet automakers continue to reach for that additional 8%-10% efficiency gain. That’s because every kilowatt recovered reduces energy consumption and extends the driving range even farther. Just how much depends on the specific motor design and the efficiency gains realized. One aspect of electric motor performance that can significantly impact efficiency is thermal management.
Mastering Layout Parasitics: Faster Analysis, Optimization and Debug with ParagonX
Mastering AI Chip Complexity This eBook explores AI chip design trends, challenges, and strategies for first-pass silicon success.
Enabling Agile CI/CD in Chip Design: Running Synopsys EDA Flows from GitHub
Achim Nohl Distinguished Architect, Synopsys Achim Nohl is a Distinguished Architect at Synopsys, where he co-architects and develops the Synopsys Cloud platform. With over 25 years of experience spanning EDA, embedded systems, and cloud-native architecture, his career has evolved from processor design and prototyping all the way to SaaS platform development. He holds multiple patents in Embedded Processor Design Automation, was part of the founding team of LISATek in 2000.
Synopsys Demonstrates Leadership in AI-Powered Engineering at 2026 DAC Chips to Systems Conference
What's New: At the 2026 DAC Chips to Systems Conference, Synopsys is showcasing its latest silicon-to-systems innovations in agentic AI and advanced silicon design technologies that help customers accelerate AI-powered product development with greater quality, efficiency, precision, and scale from concept to production.
Synopsys Advances Agentic AI Chip Design with AMD and Microsoft
Introduces Industry's First Autonomous EDA Workflows on Microsoft Discovery to Accelerate Engineering from Specification to Silicon Key Highlights Synopsys is advancing an open, interoperable agentic AI stack for autonomous workflows across the chip design lifecycle. Introducing two new agentic EDA workflows, developed in collaboration with Microsoft and used by AMD, available for evaluation on Microsoft Discovery to accelerate chip design.
Synopsys and Intel Foundry Fast-Track Customer Readiness from Silicon to Systems on Intel 14A
Certified AI-powered EDA flows, integrated multiphysics analysis, and broad IP portfolio accelerate Angstrom-scale AI and multi-die designs Key Highlights Certified AI-powered EDA flows and multiphysics analysis for Intel 14A designs: Provide early insight into power integrity, thermal, and electromagnetic effects, improving predictability and accelerating convergence From DTCO to system-aware co-optimization: Extends co-optimization across silicon, package, IP and system domains to enable...
Synopsys Showcases Comprehensive Autonomous Engineering Workflows from Silicon to Systems, Developed with NVIDIA Technology
New long-running, fully agentic workflows spanning EDA to CAE multiply engineering productivity Key Highlights Synopsys unveils a fully autonomous long-running design verification agent that orchestrates the entire chip verification cycle delivering up to 50X faster time-to-validated RTL while achieving 20% additional coverage improvement Demonstrating Synopsys' first fully autonomous computer-aided engineering (CAE) workflow for thermal management and electronic device cooling capable of...