面向GPU的低能耗数据传输的组重映射编码方法OA
A group-remapping encoding method for low-power GPU data transmission
现代图形处理单元(GPU)的高性能计算能力,依赖于高带宽的图形DDR(GDDR)接口.高带宽的数据传输速率导致高能耗,特别是 GDDR的伪开漏(POD)I/O接口中传输逻辑1值的不对称能耗.通过减少数据传输过程中高能耗的逻辑1值,可以缓解数据传输时的高能耗问题.提出一种基于逻辑1值数量的组重映射编码方法.首先,将待传输数据按4位划分为基本单元,根据单元包含的逻辑1值数量再分组,然后将包含逻辑1值较多且数量较多的组映射编码为包含逻辑1值较少且数量较少的组,以最小化全局的逻辑1值数量.在现代 GPU架构上评估,结果显示组重映射编码方法可以有效减少各种应用程序在数据传输时的逻辑1值的数量,平均降低比例达到26%,证明了方法的有效性.
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.Sub-sequently,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 ef-fectively 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.
章铁飞;邢建国
浙江工商大学计算机科学与技术学院,浙江 杭州 310018浙江工商大学计算机科学与技术学院,浙江 杭州 310018
信息技术与安全科学
数据传输能耗GDDR I/O接口组重映射编码图形处理器
data transfer energyGDDR I/O interfacegroup-remapping encodinggraphics process-ing unit
《计算机工程与科学》 2026 (5)
803-809,7
浙江工商大学校级研究生教育改革项目(YJG2023115)
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