An FPGA enhanced extensible and parallel query storage system for emerging NVRAM
Gezi Li, Xiaogang Chen, Bomy Chen, Shunfen Li, Mi Zhou, Wenbing Han, Xiaoyun Li, Zhitang Song · IEICE Electronics Express · 2016
Modern data appliances face severe bandwidth bottlenecks when transferring data between storage and host. In this paper, we present a storage system which can improve performance more than three times by using an FPGA to implement the off-load engine. Regardless of the data size, the host CPU utilization varies vastly between the two systems, traditional way uses 100% and the system presented only uses 1%. Compared to the traditional way, the memory allocation has been greatly reduced. The system presented is explored for emerging NVRAMs which have many benefits compared to the traditional memory.