Abstract: There is provided a method of starting a gas turbine engine, comprising: selecting a baseline starting procedure of the gas turbine engine based on environmental data; receiving condition information for the gas turbine engine and/or for a starting system of the gas turbine engine, the condition information comprising at least one of: health information for the gas turbine engine and/or the starting system; maintenance information for the gas turbine engine and/or the starting system; and operation information relating to an expected future usage of the gas turbine engine. The method further comprises determining a predicted degradation profile for the gas turbine engine and/or the starting system based on the condition information; determining a starting procedure of the gas turbine engine by adapting the baseline starting procedure based on the predicted degradation profile; and controlling the gas turbine engine and/or the starting system according to the determined starting procedure.

Abstract: There is disclosed a gas turbine engine comprising: an electrically-powered motor configured to rotate a driven spool of the gas turbine engine; a primary controller configured to conduct a primary function using the motor; and a bow controller configured to selectively control the motor to perform a rotor bow mitigation operation in which the motor drives the driven spool to rotate to mitigate a non-uniform thermal distribution in a rotor of a spool of the gas turbine engine.

Abstract: A transaction processor pipeline architecture and associated apparatus for processing multiple queued transaction requests incorporates multiple processing elements working in parallel. Each processing element is configured to perform a specific function within the transaction processor system. Certain processing elements are assigned as function controllers, which are assigned to process specific transaction request subtask categories and may be augmented with dedicated hardware to accelerate certain subtask functions. Other processing elements are configured as list managers, which are optimized for managing data structure operations in memory. The processing elements are connected by a cross-point interconnect. The transaction processor system is configurable and scalable based on application needs.

Abstract: A transaction processor pipeline architecture and associated apparatus for processing multiple queued transaction requests incorporates multiple processing elements working in parallel. Each processing element is configured to perform a specific function within the transaction processor system. Certain processing elements are assigned as function controllers, which are assigned to process specific transaction request subtask categories and may be augmented with dedicated hardware to accelerate certain subtask functions. Other processing elements are configured as list managers, which are optimized for managing data structure operations in memory. The processing elements are connected by a cross-point interconnect. The transaction processor system is configurable and scalable based on application needs.

Abstract: A system for processing a plurality of tasks is disclosed. Each task has a plurality of component subtasks. The system may process N tasks and each task includes a first subtask, and a second subtask. The system for processing the plurality of tasks comprises a scalable transaction processing pipeline (STPP). The STPP comprises a plurality of processing elements, including at least a first processing element and a second processing element, the first processing element is adapted to process the first subtask of each task. The second processing element is adapted to process the second subtask of each task. Each successive processing element is adapted to process a corresponding subtask or subtasks of each task. The first processing element processes the first subtask of each task. When the first processing element finishes the processing of the first subtask, the second processing element processes the second subtask of each task.