Abstract: A graphics processing system for generating a render output using an input curve defined in a world space includes processing circuitry configured to determine a portion of a canonical curve defined in canonical space that corresponds to the input curve and the transformation needed to map the input curve to the portion of the canonical curve. For sampling points in the world space surrounding the input curve, the processing circuitry is configured to transform the sampling points from the world space to the canonical space using the determined transformation between the world space and the canonical space; and determine, in the canonical space, the closest point on the determined portion of the canonical curve to the transformed sampling point. The system also includes processing circuitry capable of using the determined closest points on the canonical curve for the transformed sampling points in the canonical space when generating a render output.

Abstract: A graphics processing system for generating a render output using an input curve defined in a world space includes processing circuitry configured to determine a portion of a canonical curve defined in canonical space that corresponds to the input curve and the transformation needed to map the input curve to the portion of the canonical curve. For sampling points in the world space surrounding the input curve, the processing circuitry is configured to transform the sampling points from the world space to the canonical space using the determined transformation between the world space and the canonical space; and determine, in the canonical space, the closest point on the determined portion of the canonical curve to the transformed sampling point. The system also includes processing circuitry capable of using the determined closest points on the canonical curve for the transformed sampling points in the canonical space when generating a render output.

Abstract: We describe a 3D computer network optimisation tool using network management data including one or more of: network device data including hardware identification data, interface data characterising one or more interfaces of a said network device, firmware identification data for a said network device, operating system identification data for a said network device; information flow data relating to information flow within the network including network device information flow load data and link bandwidth data/statistical information flow data; as well as environmental data for a network device such as temperature or power consumption data and/or physical network device location data. The tool also uses captured network data and sniffer data from communication links; and connectivity of the network devices.