Arithmetic processing device, arithmetic processing method, and storage medium

An arithmetic processing method for a computer to execute a process comprising:

• executing an operation of fixed-point number data;
• acquiring statistical information that indicates a distribution of positions of most significant bits of a plurality of fixed-point number data obtained by the operation;
• updating, based on the statistical information, a range for restriction of bit width of the plurality of fixed-point number data to be used for the operation;
• estimating respective data amount after compression of the plurality of fixed-point number data by a plurality of compression methods based on the statistical information;
• determining a compression method by which data amount after compression of the plurality of fixed-point number data is minimum among plurality of compression methods;
• transferring the plurality of fixed-point number data compressed by the compression method to a memory;
• and
• executing deep neural network learning by using the plurality of fixed-point number data compressed by the compression method.

A non-transitory computer-readable recording medium storing an arithmetic processing program that causes at least one computer to execute a process, the process comprising:

• executing an operation of fixed-point number data;
• acquiring statistical information that indicates a distribution of positions of most significant bits of a plurality of fixed-point number data obtained by the operation;
• updating, based on the statistical information, a range for restriction of bit width of the plurality of fixed-point number data to be used for the operation;
• estimating respective data amount after compression of the plurality of fixed-point number data by a plurality of compression methods based on the statistical information;
• determining a compression method by which data amount after compression of the plurality of fixed-point number data is minimum among plurality of compression methods;
• transferring the plurality of fixed-point number data compressed by the compression method to a memory;
• and
• executing deep neural network learning by using the plurality of fixed-point number data compressed by the compression method.