计算机科学
并行计算
合并(版本控制)
绘图
计算
图形处理单元的通用计算
内存带宽
计算机图形学(图像)
算法
作者
Oded Green,Robert McColl,David A. Bader
标识
DOI:10.1145/2304576.2304621
摘要
Graphics Processing Units (GPUs) have become ideal candidates for the development of fine-grain parallel algorithms as the number of processing elements per GPU increases. In addition to the increase in cores per system, new memory hierarchies and increased bandwidth have been developed that allow for significant performance improvement when computation is performed using certain types of memory access patterns.
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