Abstract: The high-performance computing capabilities of modern graphics processing unit (GPU) rely on high-bandwidth graphics double data rate (GDDR) interfaces. The high data transfer rates result in significant energy consumption, particularly due to the asymmetric power consumption associated with transmitting logic 1 values in GDDR’s pseudo open drain (POD) I/O interfaces. By reducing the number of logic 1 values with high energy consumption during data transfer, the issue of high energy consumption during data transfer can be alleviated. This paper proposes a group-remapping encoding method based on the quantity of logic 1 values. Initially, the data to be transmitted is divided into basic units of 4 bits each, which are then grouped according to the number of logic 1 values they contain. Subsequently, groups with a higher quantity of logic 1  values are mapped and encoded into groups with a lower quantity of logic 1 values, aiming to minimize the global count of logic 1 values. When evaluated on modern GPU architectures, the results demonstrate that the group-remapping encoding strategy effectively reduces the number of logic 1 values during data transmission for various applications, achiev- ing an average reduction rate of 26%, thereby proving the effectiveness of the proposed method.

Key words: data transfer energy, GDDR I/O interface, group-remapping encoding, graphics processing unit