While FPGAs have seen prior use in database systems, in recent years interest in using
FPGA to accelerate databases has declined in both industry and academia for the following …

Constructing energy-efficient database systems to reduce economic costs and
environmental impact has been studied for 10 years. With the emergence of the big data …

The global pool of data is growing at 2.5 quintillion bytes per day, with 90% of it produced in
the last two years alone [24]. There is no doubt the era of big data has arrived. This paper …

摘要科学研究在经历了实验科学, 理论科学, 计算科学阶段后, 进入了数据密集型科学阶段,
与之相伴的是大数据时代的到来. 大数据泛指规模达到几百TB, 甚至PB 级的数据① …

For many years, the highest energy cost in processing has been data movement rather than
computation, and energy is the limiting factor in processor design [21]. As the data needed …

ABSTRACT Field Programmable Gate Arrays (FPGAs) are more and more becoming a
viable option for implementing data processing pipelines as their computing capacity as well …

The growing number of (cloud) applications and devices massively increases the
communication rate and volume pushing integration systems to their (throughput) limits …

Getting the best performance from the ever-increasing number of hardware platforms has
been a recurring challenge for data processing systems. In recent years, the advent of data …

In this paper we present a hybrid index structure which is allocated in a Field Programmable
Gate Array (FPGA) and a traditional CPU-based host system. The used index structure of …

Query execution techniques in database systems are constantly adapting to novel hardware
features in order to improve query performance, in particular for analytical queries. In the last …