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Synopsys Introduces Virtualizer Native Execution on Arm Hardware

Transforming Software Development for Software-defined Products

On March 10, 2025, Synopsys Inc. announced the launch of its Virtualizer Native Execution designed for Arm-based hardware. This cutting-edge tool is set to revolutionize software development particularly for sectors including automotive, high-performance computing (HPC), and the Internet of Things (IoT). By significantly improving the execution speeds of virtual prototypes and streamlining the deployment process, Synopsys is positioning this innovation as a game-changer in the realm of software-defined products.

Key Features of Virtualizer Native Execution

• - Accelerated Performance: Utilizing Arm servers for native execution allows for a remarkable increase in the execution speeds of software workloads, accelerating time to market for new products. Engineered specifically for edge devices, this tool enhances the productivity of engineering teams, enabling them to navigate more efficiently through software development cycles.
• - End-to-End Integration: The Virtualizer suite provides seamless integration with the existing Arm server infrastructure, either in the cloud or on-premises solutions. This capability ensures that modeling, simulation, debugging, and analysis processes are more efficient, thus saving both time and resources.
• - Enhanced Validation Processes: With the integration of Synopsys’ extensive interface IP and model ecosystem, developers can work on validation from earlier stages, allowing for smoother integration and testing workflows that incorporate continuous integration (CI) and continuous delivery (CD) methodologies.

Advantages for Engineering Teams

Ravi Subramanian, Synopsys' Chief Product Management Officer, stated, “The rise of software-defined products necessitates a shift from silicon-level engineering to system-level design.” With Virtualizer Native Execution on Arm, companies can adopt agile methodologies that facilitate quicker development cycles, ultimately leading to superior product designs.

Accelerated Time to Market

The primary advantage of Virtualizer is its ability to shrink validation turnaround times. By leveraging Arm application processor cores for execution, the tool significantly boosts simulation execution speeds. This improved efficiency allows for faster debugging cycles, contributing to higher-quality software deliverables that meet market demands quicker than ever before.

Early Integration

Users of the Virtualizer suite gain access to an expansive library of models and subsystems available for Arm hardware. This early access omits significant delays in software development, empowering teams to validate firmware and applications well ahead of the traditional timelines.

Comprehensive Performance Analysis

The capabilities of Virtualizer extend into hybrid prototyping with Synopsys ZeBu systems. The synergy between these tools enables accelerated execution for software-intensive applications, enhancing the analysis of power consumption and overall architecture performance, which is crucial for modern digital products.

Scalability and Deployment Flexibility

Synopsys Virtualizer Native Execution is designed to fit within the diverse environments of users by supporting various Arm-based infrastructures, including those provided by Ampere, AWS, Google, Microsoft, and Nvidia. This flexibility allows development teams to optimize compute resource utilization, tailoring performance, energy consumption, and budgetary considerations to their unique workflows.

Conclusion

The introduction of Synopsys Virtualizer Native Execution marks a pivotal moment for software development in technological industries. As the automotive sector and others pursue increasingly complex software environments, tools like Virtualizer will be essential in allowing organizations to maintain pace with evolving demands while maximizing productivity and quality.

For more information on the Synopsys Virtualizer and how it can streamline your development processes, visit Synopsys.