An efficient FPGA-based database processor for fast database analytics
Xuan-Thuan Nguyen, Hong-Thu Nguyen, Trong-Thuc Hoang, Katsumi Inoue, Osamu Shimojo, Toshio Murayama, Kenji Tominaga, Cong‐Kha Pham · 2016
Recent years have witnessed a massive growth of global data due to the ubiquitous internet-of-thing products, social networking services, and mobile devices. Fast database analytics, therefore, has been increasingly attractive to numerous research. In this paper, a low-latency FPGA-based Database Processor (DBP) using bitmap index is proposed. By exploiting available embedded memory blocks and logic elements, a 50-MHz DBP is capable of performing 1,024 queries for entire 32,768 4-KB records within around 3.31 ms. In other words, the DBP can analyze a capacity data of nearly 37.76 GB per second.