HEEDS is a powerful design space exploration software package that interfaces with all CAD and commercial CAE tools to drive product innovation across all industries. HEEDS accelerates the engineering design process by automating analysis workflows (Process Automation), maximizing utilization of existing investments in computational hardware and software resources (Distributed Execution), efficiently exploring solutions (Efficient Search), and then assessing the performance to ensure real-world goals are met (Insight & Discovery).
HEEDS enables automated workflows for the ease of driving product development processes. With an extensive list of developed interfaces to commercial CAD and CAE tools, HEEDS quickly and easily integrates many technologies without the need for custom scripting. The data is automatically shared between different modeling and simulation products to evaluate performance trade-offs and design robustness.
HEEDS leverages existing hardware investments which allows for the efficient use of all available hardware resources. Utilize Windows and Linux based workstations or clusters either on-site or abroad, as well as cloud computing resources to accelerate innovative product development. For example, geometry modifications can be automated on a laptop with Windows® operating system, a structural deformation simulation can be performed on a Linux workstation, and a computational fluid dynamics (CFD) simulation can be performed on multiple cores of a Linux cluster or on the cloud.
HEEDS leverages existing hardware investments which allows for the efficient use of all available hardware resources. Utilize Windows and Linux based workstations or clusters either on-site or abroad, as well as cloud computing resources to accelerate innovative product development. For example, geometry modifications can be automated on a laptop with Windows® operating system, a structural deformation simulation can be performed on a Linux workstation, and a computational fluid dynamics (CFD) simulation can be performed on multiple cores of a Linux cluster or on the cloud.


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