Micron Technology, Inc.
INTELLIGENT LOW POWER MODES FOR DEEP LEARNING ACCELERATOR AND RANDOM ACCESS MEMORY

Abstract:

Systems, devices, and methods related to a Deep Learning Accelerator and memory are described. For example, an integrated circuit device may be configured to execute instructions with matrix operands and configured with random access memory that includes multiple memory groups having independent power modes. The random access memory is configured to store data representative of parameters of an Artificial Neural Network and representative of instructions executable by the Deep Learning Accelerator to perform matrix computation to generate an output of the Artificial Neural Network. During execution of the instructions, a power manager may adjust grouping of memory addresses mapped into the memory groups and adjust power modes of the memory groups to reduce power consumption and to avoid performance impact.