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.
ZHANG Tiefei, XING Jianguo
. A group-remapping encoding method for low-power GPU data transmission[J]. Computer Engineering & Science, 2026
, 48(5)
: 803
-809
.
DOI: 10.3969/j.issn.1007-130X.2026.05.005
