Simulation Process Data Management (SPDM) in HPC
The Rescale platform enables engineers and scientists to leverage the aggregate knowledge generated from simulation data to better design the next generation of products.
Benefits of SPDM in HPC
Accelerating Innovation
Grow your enterprise by entering the new paradigm of cloud technology.
Faster Time to Market
Shorten development time, reduce prototyping and improve product quality.
Enterprise Integration and Collaboration
Accelerate communication, file sharing and project completion across the enterprise.
Capture Ongoing Value From Your Simulation Data
The age-old design process is well known: take requirements, create conceptual designs, select one, begin preliminary and detailed design, then validate. In the modern age, simulation is carried out at each of these steps, building mountains of raw output data. This data can remain stagnant–or it can be continuously mined and converted into actionable knowledge and business intelligence, thus accelerating and improving the next iteration of products.
Enabling users to perform Simulation Process Data Management (SPDM) is a core tenant of the ScaleX platform philosophy. The way it is built reflects this: a web-based platform, connecting data in the cloud and on-premise to massive parallelizable compute architecture. This allows users to retrieve previous simulation data, track the configurations and metadata surrounding it, and re-apply it to the current task, saving time and mitigating long-term product risk.
The Rescale ScaleX platform enables users to:
Mutlticloud
Store, retrieve, and leverage simulation output data in the cloud and on-premise.
Easily Manage Jobs
Track metadata, load cases and requirements.
Flexibility
Adjust and relaunch older simulation jobs with ease.
Explore More Simulation Process Data Management Resources
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David and Goliath: The Agility of Rescale Big Compute Enables RF Antenna Design Startup to Disrupt Market: Customer Interview with Optisys
The Age of Simulation-Driven Design: Going Beyond CAE Analysis with Design of Experiments and Optimization
“We ran a few thousand test simulations and then scaled up to millions of test simulations running on Rescale. We were able to integrate proprietary code bases seamlessly, quickly identify errors within the scaling code, track each error down, and correct each error using Rescale much more quickly than we were able to run simulations on our own”
Mike Gahan, Senior Data Scientist
Metabiota
“Rescale’s data-driven control plane approach helps us complete our simulation jobs faster than ever while remaining very cost-effective.”
Nate Moss, Senior CAD Analyst
Denso