Systems and Methods for Efficient Data Preprocessing of Machine Learning Workloads
US-2024403138-A1 · Dec 5, 2024 · US
US8930969B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8930969-B2 |
| Application number | US-201213690325-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 30, 2012 |
| Priority date | Dec 7, 2005 |
| Publication date | Jan 6, 2015 |
| Grant date | Jan 6, 2015 |
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A method of executing a physics simulation is performed in a system comprising a computational platform, a main application stored in the computational platform, a secondary application stored in the computational platform, and a cloth application programming interface (API) implemented in the computational platform. The method defines a cloth simulation call in the cloth API, and by operation of the main application, invokes a software routine using the cloth simulation call. Additionally, by operation of the secondary application, a state of the physics simulation is updated in response to the software routine.
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What is claimed: 1. A method of executing a physics simulation in a computational platform, the method comprising: executing a cloth simulation call defined in an application programming interface (API) implemented in the computational platform to invoke a software routine that is configured to create a cloth object in a cloth simulation, wherein the cloth object has simulated behavior that is characterized in relation to one or more interaction modes, wherein a first interaction…
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