A method of generating a hardware design for a pipelined parallel stream processor, the method comprising: defining, on a computing device, a processing operation designating processes to be implemented in hardware as part of said pipelined parallel stream processor; defining, on a computing device, a graph representing said processing operation as a parallel structure in the time domain as a function of clock cycles, said graph comprising at least one data path to be implemented as a hardware design for said pipelined parallel stream processor and comprising a plurality of parallel branches configured to enable data values to be streamed therethrough, the or each data path being represented as comprising at least one input, at least one output, at least one discrete object corresponding directly to a hardware element to be implemented in hardware as part of said pipelined parallel stream processor, the or each discrete object being operable to execute a function for one or more clock cycles and having a predefined latency associated therewith, said predefined latency representing the time required for said hardware element to execute said function, said data values propagating through said data path from the at least one input to the at least one output as a function of increasing clock cycle; defining, on a computing device, the at least one data path and associated latencies of said graph as a set of algebraic linear inequalities; collectively solving, on a computing device, said set of linear inequalities for the entire graph; optimising, on a computing device, the at least one data path in said graph using said solved linear inequalities to produce an optimised graph; and utilising, on a computing device, said optimised graph to define an optimised hardware design for implementation in hardware as said pipelined parallel stream processor the method characterized in that said step of optimising comprises minimising the amount of buffering required to schedule said data path and/or inserting buffering into at least some of the branches of said data path and wherein said step of optimising further comprises merging two or more buffers into a single buffer and/or allocating a single buffer to two or more branches of said at least one data path. defining, on a computing device, a processing operation designating processes to be implemented in hardware as part of said pipelined parallel stream processor; defining, on a computing device, a graph representing said processing operation as a parallel structure in the time domain as a function of clock cycles, said graph comprising at least one data path to be implemented as a hardware design for said pipelined parallel stream processor and comprising a plurality of parallel branches configured to enable data values to be streamed therethrough, the or each data path being represented as comprising at least one input, at least one output, at least one discrete object corresponding directly to a hardware element to be implemented in hardware as part of said pipelined parallel stream processor, the or each discrete object being operable to execute a function for one or more clock cycles and having a predefined latency associated therewith, said predefined latency representing the time required for said hardware element to execute said function, said data values propagating through said data path from the at least one input to the at least one output as a function of increasing clock cycle; defining, on a computing device, the at least one data path and associated latencies of said graph as a set of algebraic linear inequalities; collectively solving, on a computing device, said set of linear inequalities for the entire graph; optimising, on a computing device, the at least one data path in said graph using said solved linear inequalities to produce an optimised graph; and utilising, on a computing device, said optimised graph to define an optimised hardware design for implementation in hardware as said pipelined parallel stream processor the method characterized in that said step of optimising comprises minimising the amount of buffering required to schedule said data path and/or inserting buffering into at least some of the branches of said data path and wherein said step of optimising further comprises merging two or more buffers into a single buffer and/or allocating a single buffer to two or more branches of said at least one data path.