Abstract: An analysis unit (110) analyzes a composition of a neural network composed of a plurality of layers and acquires a layer parameter (210) indicating an attribute of each of the plurality of layers. A conversion unit (120) converts the layer parameter (210) in such a way that processing performance of a circuit which executes an operation of the neural network does not deteriorate and a computation amount of the neural network increases. The conversion unit (120) increases the computation amount by treating the numbers of input/output edges in each of the plurality of layers as the layer parameter and increasing the numbers of input/output edges.

Abstract: A processing time calculation unit (221) calculates, based on performance information (32) on a computing unit in which a neural network is implemented, processing time to be taken for processing by the neural network in case where the neural network is implemented in the computing unit. An attainment determination unit (23) determines whether the calculated processing time is longer than required time or not. A structure transformation unit (225) transforms a structure of the neural network in case where it is determined that the processing time is longer than the required time and refrains from transforming the structure of the neural network in case where it is determined that the processing time is equal to or shorter than the required time.

Abstract: A reception unit (110) receives NN information (151) and non-functional requirements (152) demanded for a circuit. A search unit (120) generates combinations of interlayer architectures and intra-layer architectures as architecture combinations (121). Then, the search unit (120) searches for a plurality of architecture combination candidates (122) that reduce an amount of delay as the non-functional requirements, from among the architecture combinations (121). A determination unit (130) determines whether each of the plurality of architecture combination candidates (122) satisfies the non-functional requirements (152) or not. A candidate information generation unit (140) generates candidate information (154) including architecture candidates (131) that satisfy the non-functional requirements among the plurality of architecture combination candidates (122).