Abstract: A system and method employing a distributed hardware architecture, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations are disclosed. A compute node may be implemented independent of a host compute system to manage and to execute data processing operations. Additionally, an unique algorithm architecture and processing system and method are also disclosed. Different types of nodes may be implemented, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations.

Abstract: A system and method employing a precisely synchronized time in connection with a distributed hardware architecture are disclosed. Using an independent and trusted time signal and a second transition pulse signal, each resource in the distributed hardware architecture may be synchronized precisely to the same absolute time.

Abstract: A system and method employing a distributed hardware architecture, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations are disclosed. A compute node may be implemented independent of a host compute system to manage and to execute data processing operations. Additionally, an unique algorithm architecture and processing system and method are also disclosed. Different types of nodes may be implemented, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations.

Abstract: A system and method employing a distributed hardware architecture, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations are disclosed. A compute node may be implemented independent of a host compute system to manage and to execute data processing operations. Additionally, an unique algorithm architecture and processing system and method are also disclosed. Different types of nodes may be implemented, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations.

Abstract: A system and method employing a distributed hardware architecture, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations are disclosed. A compute node may be implemented independent of a host compute system to manage and to execute data processing operations. Additionally, an unique algorithm architecture and processing system and method are also disclosed. Different types of nodes may be implemented, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations.

Abstract: A system and method employing a precisely synchronized time in connection with a distributed hardware architecture are disclosed. Using an independent and trusted time signal and a second transition pulse signal, each resource in the distributed hardware architecture may be synchronized precisely to the same absolute time.

Abstract: A system and method employing a precisely synchronized time in connection with a distributed hardware architecture are disclosed. Using an independent and trusted time signal and a second transition pulse signal, each resource in the distributed hardware architecture may be synchronized precisely to the same absolute time.

Abstract: A system and method employing a distributed hardware architecture, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations are disclosed. A compute node may be implemented independent of a host compute system to manage and to execute data processing operations. Additionally, an unique algorithm architecture and processing system and method are also disclosed. Different types of nodes may be implemented, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations.

Abstract: A system and method employing a precisely synchronized time in connection with a distributed hardware architecture are disclosed. Using an independent and trusted time signal and a second transition pulse signal, each resource in the distributed hardware architecture may be synchronized precisely to the same absolute time.

Abstract: A system and method employing a distributed hardware architecture, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations are disclosed. A compute node may be implemented independent of a host compute system to manage and to execute data processing operations. Additionally, an unique algorithm architecture and processing system and method are also disclosed. Different types of nodes may be implemented, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations.

Abstract: A system and method employing a distributed hardware architecture, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations are disclosed. A compute node may be implemented independent of a host compute system to manage and to execute data processing operations. Additionally, an unique algorithm architecture and processing system and method are also disclosed. Different types of nodes may be implemented, either independently or in cooperation with an attendant data structure, in connection with various data processing strategies and data analytics implementations.

Abstract: Embodiments of a shape measurement system and related methods are disclosed. In some embodiments, the system places a two-dimensional initial pattern, which can be implemented as a standalone molding or can be attached to a light source or printed on an outfit, onto a surface of a three-dimensional object. The system captures a transformed version of the initial pattern in two dimensions that is distorted due to the varying depth of the surface. The system then analyzes the transformed pattern and derives three-dimensional information regarding the target object. The analysis, which can incorporate a calibration process, can rely on the projection nature of the light source, the isomorphism/non-isomorphism of the initial pattern, and other factors.

Abstract: Embodiments of a shape measurement system and related methods are disclosed. In some embodiments, the system places a two-dimensional initial pattern, which can be implemented as a standalone molding or can be attached to a light source or printed on an outfit, onto a surface of a three-dimensional object. The system captures a transformed version of the initial pattern in two dimensions that is distorted due to the varying depth of the surface. The system then analyzes the transformed pattern and derives three-dimensional information regarding the target object. The analysis, which can incorporate a calibration process, can rely on the projection nature of the light source, the isomorphism/non-isomorphism of the initial pattern, and other factors.

Abstract: Embodiments of a shape measurement system and related methods are disclosed. In some embodiments, the system places a two-dimensional initial pattern, which can be implemented as a standalone molding or can be attached to a light source or printed on an outfit, onto a surface of a three-dimensional object. The system captures a transformed version of the initial pattern in two dimensions that is distorted due to the varying depth of the surface. The system then analyzes the transformed pattern and derives three-dimensional information regarding the target object. The analysis, which can incorporate a calibration process, can rely on the projection nature of the light source, the isomorphism/non-isomorphism of the initial pattern, and other factors.

Abstract: A method is provided for executing an application on a compute server of a computer network or other computer system that includes the compute server and at least one client system. The client system makes a remote procedure call to the compute server, and the remote procedure call is transported by the computer network or computer system from the client system to the compute server. Execution of the client program that made the remote procedure call is suspended until the compute reserver returns the results of executing the remote procedure call. After the compute server begins processing the remote procedure call it may determine that additional information is needed from the client system to process the remote procedure call. In that case, the compute server initiates a remote procedure callback to the client system to request the required additional information, and that remote procedure callback is transported back to the client system by the computer network.

Abstract: A method is provided for executing an application on a compute server of a computer network or other computer system that includes the compute server and at least one client system. The client system makes a remote procedure call to the compute server, and the remote procedure call is transported by the computer network or computer system from the client system to the compute server. Execution of the client program that made the remote procedure call is suspended until the compute reserver returns the results of executing the remote procedure call. After the compute server begins processing the remote procedure call it may determine that additional information is needed from the client system to process the remote procedure call. In that case, the compute server initiates a remote procedure callback to the client system to request the required additional information, and that remote procedure callback is transported back to the client system by the computer network.

Abstract: A method is provided for executing an application on a compute server of a computer network that includes the compute server and at least one client system, the method comprising the steps of: activating a process and a server thread running on the compute server; obtaining initial client context information from a context server running on the at least one client system; producing on the compute server a bound process bounded by the context server running on the at least one client system; executing the application in the bound process on the compute server; and in the course of the step of executing the bound process, obtaining additional client context information as requested by the application from the context server.