Abstract: A computer-implemented method schedules a plurality of tasks for execution by a multi-processor system. A first schedule is generated that assigns each task of the plurality of tasks a time window and a processor of the multi-processor system. A contention model for the multi-processor system is queried to determine a contention delay for the assignment of tasks to processors according to the first schedule. The contention delay determined from the contention model is used to generate, from the first schedule, a revised schedule that assigns each task a time window and a processor of the multi-processor system, wherein the revised schedule is determined in dependence on the determined contention delay.

Abstract: A method for optimizing a layout for a distribution pipe. The method includes: specifying a problem domain of the system and encoding the problem domain into a Constraint Programming “CP” model, producing a constraint program solver and using said solver to explore the space in which the system is to be positioned and identify a problem or problems in said space, finding a solution to said problem or problems, and checking if said solution is valid and wherein if said solution is valid. In some examples described herein, the method further comprises the step of visualising said valid solution by converting the solution into a 3D visual format and outputting the valid solution in said 3D format.

Abstract: A method and system for evaluating designs for a fire suppressant system for a space, the method comprising: receiving system requirements defining constraints of the system; obtaining a model of a design designed to satisfy the system requirements; calculating key performance indicators for the model; and evaluating the design by comparing the key performance indicators with the system requirements.

Abstract: A method and system for optimizing design of a fire suppressant system for a space. The method includes: receiving system requirements defining constraints of the system; defining system parameters including required coverage of a fire suppressing agent and required flow rate of the agent based on the system requirements; searching a database of system components and selecting components able to satisfy the system requirements and provide the required coverage and flow rate; optimally combining the selected components into a system layout; representing the system layout as a three dimensional, 3D, model; performing three dimensional computational fluid dynamic, CFD, modelling on the 3D model to evaluate performance of the system layout; and determining, based on the CFD modelling, whether the system layout is an optimal design for the space.