Abstract: A method of configuring a System-on-Chip (SoC) to execute a Convolutional Neural Network (CNN) by (i) receiving scheduling schemes each specifying a sequence of operations executable by Processing Units (PUs) of the SoC; (ii) selecting, a scheduling scheme for a current layer of the CNN; (iii) determining a current state of memory for a storage location in the SoC allocated for storing feature map data from the CNN; (iv) selecting, from the plurality of scheduling schemes and dependent upon the scheduling scheme for the current layer of the CNN, a set of candidate scheduling schemes for a next layer of the CNN; and (v) selecting, from the set of candidate scheduling schemes dependent upon the determined current state of memory, a scheduling scheme for the next layer of the CNN.

Abstract: A method of selecting a software code optimisation for a section of algorithm software code in order to modify resource usage of hardware, the method comprising the steps of classifying each of a plurality of software code optimisations each characterising modifications to the section of software code that modify the hardware resource usage, forming combinations of the software code optimisations, each containing at least two of the software code optimisations and being formed according to an interdependency of the optimisation techniques of the software code optimisations in the combination, wherein the software code optimisations of each combination are useable together, and modifying the section of software code with at least two of the software code optimisations belonging to a selected combination of the set of combinations in order to modify the resource usage of the hardware executing the section of software code.

Abstract: A method of configuring a System-on-Chip (SoC) to execute a Convolutional Neural Network (CNN) by (i) receiving scheduling schemes each specifying a sequence of operations executable by Processing Units (PUs) of the SoC; (ii) selecting, a scheduling scheme for a current layer of the CNN; (iii) determining a current state of memory for a storage location in the SoC allocated for storing feature map data from the CNN; (iv) selecting, from the plurality of scheduling schemes and dependent upon the scheduling scheme for the current layer of the CNN, a set of candidate scheduling schemes for a next layer of the CNN; and (v) selecting, from the set of candidate scheduling schemes dependent upon the determined current state of memory, a scheduling scheme for the next layer of the CNN.