Abstract: A method of configuring a System on Chip to execute a CNN process comprising CNN layers, the method comprising, for each schedule: determining memory access amount information describing how many memory accesses are required; expressing the memory access amount information as relationships describing reusability of data; combining the relationships with a cost of writing and reading from external memory, to form memory access information; determining a memory allocation for on-chip memory of the SoC for the input FMs and the output FMs; and determining, dependent upon the memory access information and the memory allocation for each schedule; a schedule which minimises the memory access information of external memory access for the CNN layer of the CNN process; and a memory allocation associated with the determined schedule.

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 determining a metric of an SoC, the method comprising: receiving a model dependency graph representing the SoC, the model dependency graph having a plurality of nodes representing components of the SoC and their models, and a plurality of directed edges between the nodes representing variables passed between the nodes of the model dependency graph; modifying the model dependency graph by clustering a plurality of strongly connected nodes in the model dependency graph into a single clustered node to form a clustered model dependency graph; determining an execution schedule according to a direction of an edge in the clustered model dependency graph; and executing models in the clustered model dependency graph according to the execution schedule to determine metrics of the SoC.

Abstract: According to the present invention, in changing the circuit configuration of a reconfigurable device, a circuit configuration change period is shortened while avoiding a dependency on processing contents without increasing the size of a circuit due to addition of a mechanism. Considering an execution order relation between a plurality of data flows, a setting change count necessary for changing the circuit configuration in changing processing is decreased within a constraint range, thereby shortening the circuit configuration change period.