Siemens Digital Industries Software has made its PAVE360 automotive digital-twin software available on AWS, with the ability to access fast Arm models on the same cloud.
Automakers will be able to offload simulation and free up on-premises resources when developing software for their platforms or evaluating different virtual components. Siemens claims by the combination of the modeling techniques and AWS resources, developers can experience near real-time simulation speeds, which will often be significantly faster than conventional on-premises modeling and simulation infrastructures.
Mike Ellow, executive vice president of EDA global sales, services, and customer support at Siemens, said, “The hyper-competitive software-defined vehicle industry is under immense pressure to quickly react to consumer expectations for new features all while being pushed to move towards shorter software development cycles. This is driving the adoption of the ‘shift-left’ methodology for parallel hardware and software co-development and the move toward the holistic digital twin. Delivering PAVE360 on Arm-based AWS cloud services helps enable organizational efficiencies that are simply not available through today’s traditional development methods.”
Siemens’ PAVE360, deployed on AWS includes IP from Arm that is built for automotive-specific workloads, functional system software, real-world stimulus and algorithm development tools such as Simcenter Prescan from Siemens, and a range of mixed-fidelity EDA modeling and simulation engines. PAVE360 integrates all these sources to provide a virtual car on an engineer’s desk.
“The software-defined vehicle is survival for the automotive industry, requiring new technologies and methodologies for faster and more agile development,” said Dipti Vachani, senior vice president and general manager of Arm’s automotive business.
“With PAVE360 mapping accurate embedded environments to optimal AWS instances while using Arm automotive enhanced IP, OEMs and suppliers are enabling software defined vehicle solutions and methodologies that were previously impractical,” said Wendy Bauer, vice president of automotive and manufacturing at AWS.