Arm® Zena™ Compute Subsystems (CSS) lay the groundwork for faster, safer development of AI-defined vehicles. Siemens are supporting by providing PAVE360 virtual platforms for Zena CSS far in advance of first silicon. Customers can continue to use PAVE360 to develop multi-domain digital twin for their entire vehicle development flow.
The PAVE360 digital twin brings engineers into one development environment that scales to meet their needs for the Software-Defined Vehicle (SDV). Now software can be developed pre-silicon availability in parallel with hardware. Collaborative software development methodologies allow for continuous upgrades as part of a CI/CD flow and PAVE360 offers end-to-end verification and validation against requirements to support the transition from virtual-to-vehicle.
Next-generation vehicle designs are based on an intricate, complicated web of system-level interactions that need connectivity among multiple sensors, actuators, processors, electronic control units (ECUs), networks and driving scenarios. This system-of-systems validation is in addition to validation of system-on-chips (SoCs), ECUs and systems. Learn how PAVE360 handles complex validation tasks with ease.
Create a full vehicle system view, pre-silicon, by connecting multiple automotive clients. Break down the silos with PAVE360. Develop a shared digital twin that multiple teams can work on.
Configure and connect mixed fidelity domains, protocols, systems and tools from multiple vendors. Adapt the digital twin for each phase of the vehicle design cycle. Use verification threading to check results against requirements.
Connect available models and then test your systems against requirements. Analyze the metrics generated to improve and iterate on your design. Make decisions faster.
Accelerated pre-silicon development environment brings software engineers closer to the hardware without sacrificing simulation speed
Get fast results from virtual models. Move to hybrid simulation, mixing virtual and register transfer level (RTL) code for greater accuracy. Connect to specialist tooling for deeper analysis.
Model SoCs, ECUs or full system-of-systems. Maintain consistency and break down silos as multiple teams work on the same digital twin.
Introduce hardware and real-world stimulus to test virtual environment, for greater design confidence pre-hardware.
Digital twin will help pave the way for the next-generation Software-Defined Vehicle (SDV). But what is a digital twin solution, why is it needed to enable the SDV and how can you leverage it to shift-left your design?
The Software-Defined Vehicle brings a step change in complexity meaning traditional development methodologies are no longer fit-for-purpose. A new methodology based on Software-Defined Systems (SDS) is required so that vehicles can become "software-defined" and "systems-aware".
PAVE360 connects products from both Siemens and partners to build digital twin that cover multiple fidelity and abstraction levels. Now Software ecosystem partners and customers can use a single development environment that scales based on their needs to cover all stages of product and vehicle development.
By leveraging the Siemens EDA and PLM/ALM portfolio and third party integrations
The PAVE360 "Autonomous Reference Vehicle" is a multi client, cloud based virtual platform that uses PAVE360 to connect the real and virtual worlds. Use PAVE360 to build a digital twin of an SoC or system-of-system. Then test with real hardware to "Shift development Left"
As PAVE360 is an open, cloud agnostic digital twin solution that can integrate a wide variety of solutions from the wider automotive ecosystem to cover the entire SDV development flow.
Wipro demonstrates how the PAVE360 digital twin solution enables the bring up of their virtual validation platform. Changing the way automotive software is developed, tested, and validated.
SDV accelerator features Siemens' Simcenter™ Prescan for sensor modeling and scenario-based testing and PAVE360 to enable continuous and simulated verification and validation.
The taskforce asks "how can we build trust in pre-silicon development for AI in automotive"? Leading to a proof-of-concept, for a set of common reference points for OEMs to evaluate the impact of AI systems on computing demand.
Siemens are a proud member of AVCC, a global consortia of automotive industry leaders focusing on autonomous computing expertise and have the chair position of the pre-silicon benchmarking group