In-Memory Data Rearrangement for Irregular, Data-Intensive Computing
In-Memory Data Rearrangement for Irregular, Data-Intensive Computing
复制标题
针对不规则、数据密集型计算的内存数据重新排列
作者：
Scott Lloyd;M. Gokhale
数据重排引擎(DRE)执行内存中的数据重组，以加速不规则的数据密集型应用程序。在现场可编程门阵列上的仿真显示了DRE如何在三个有代表性的基准测试中提高加速比、内存带宽和能耗。
The data rearrangement engine (DRE) performs in-memory data restructuring to accelerate irregular, data-intensive applications. An emulation on a field-programmable gate array shows how the DRE could improve speedup, memory bandwidth, and energy consumption on three representative benchmarks.