Abstract: Energy management modeling and scheduling techniques are described for reducing the power consumed to execute an application on a multi-processor computing platform within a certain time period. In one embodiment, a sophisticated resource model which accounts for discrete operating modes for computing components/resources on a computing platform and transition costs for transitioning between each of the discrete modes is described. This resource model provides information for a specific heterogeneous multi-processor computing platform and an application being implemented on the platform in a form that can be processed by a selection module, typically utilizing an integer linear programming (ILP) solver or algorithm, to select a task schedule and operating configuration(s) for executing the application within a given time.

Abstract: Described are systems and methods for implementing seamless window support for applications, such as applications based on Windows® Presentation Foundation (WPF). Seamless support for WPF applications can be implemented by remoting information associated with structural representation of the applications from a remote server to a remote client. The structural representation may be replicated at the client in accordance with the structural information. The replicated structural representation is utilized to render visual content associated with the application by local rendering mechanisms at the client.