E2E Simulation Lifecycle Management Solution designed and driven by Data
Automate the execution of tools based on workflows. Reduce the standby time caused by engineers’ repeated work and executing tools. That shortens lead time. Support validated and optimized algorithms, so that customers can have design options optimized for their business.
Previously, semiconductor data (GDS/OASIS, Jobdeck) is limitedly used for security and performance issue. Now, Nextplant SLM builds an environment where the massive data is available for external research networks, including manufacturing divisions (process, measurement) and customers. Speed up the time to validate design and ramp up mass production.
The demand is rapidly increasing to invest in high-performing computing infra (HPC) for hundreds of CAE tools and AI model training. Nexplant SLM comprehensively monitors HPC cluster operation disparate per workload. Improve HPC operation efficiency with a real-time Job analysis and minimize the time for simulation standby.
Apply CAE Log Scanner and Parser in a tool based. Configure a meaningful verification DB from the large-volume and asynchronous logs. Dashboard shows a real-time progress of design-verification founded on the configured verification DB.
GDS(Graphic Data System) DB and web architecture support a simultaneous visualization for multiple users, not an individual loading of massive data. Integrate with master data, measurement-request info and other data easily.
Integrate the environment where complicated settings and execution of hundreds of CAE tools, HPC infra and CAE resources licensing and other high-priced CAE resource management, manual collection and analytics of data verification are scattered individually. Integrate such environment into a GUI-based one holistically for design-verification.
Support the optimal performance and stability with the latest framework-centered architecture, easily scalable open source architecture ranging from a single project up to large-scale development offices.
The optimized management will be available throughout the entire life cycle of asset from purchaing factory equipment to operation, maintenance and discharging. By linking information real time and accurately analyzing the information, users can secure the predictability of the process and the transparency in the status of asset.
The integrated AI operation platform will be provided, which is created based on the technology with collected expertise on site in manufacturing. By automatically analyzing various video information, productivity will be enhanced and users can manage workplace environments in a safe manner.
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