Allocating blocks of unified memory for integrated circuit executing neural network

A method for a compiler that generates configuration data to enable an integrated circuit (IC) to execute a neural network, the method comprising:

• receiving a specification of the neural network for execution by the integrated circuit, the integrated circuit comprising (i) a neural network inference circuit for executing the neural network to generate an output based on an input, (ii) an input processing circuit for providing the input to the neural network inference circuit, (iii) a microprocessor circuit for controlling the neural network inference circuit and the input processing circuit, and (iv) a unified memory accessible by the microprocessor circuit, the neural network inference circuit, and the input processing circuit;
• determining portions of the unified memory for the neural network inference circuit to use when the neural network inference circuit executes the neural network;
• and
• based on the determined portions of the unified memory that the neural network inference circuit will use when executing the neural network, allocating other portions of the unified memory to the microprocessor circuit and input processing circuit.