Non-relational database systems (NRDS) such as graph and key-value have gained
attention in various trending business and analytical application domains. However, while …

Traditional food 3D printing technology, which primarily relies on mechanical control, often
faces challenges such as low resolution, stringent material requirements, limited flexibility …

Reconfigurable hardware such as Field-programmable Gate Arrays (FPGAs) is widely used
for data processing in databases. Most of the related work focuses on accelerating one or a …

The explosion of data over the last decades puts significant strain on the computational
capacity of the central processing unit (CPU), challenging online analytical processing …

Classical database systems are now facing the challenge of processing high-volume data
feeds at unprecedented rates as efficiently as possible while also minimizing power …

Abstract Heterogeneous Hybrid Transactional Analytical Processing (H^ 2 H 2 TAP)
database systems have been developed to match the requirements for low latency analysis …

We present a hardware data structure specifically designed for FPGAs that enables the
execution of the hard real-time database CRUD operations using a hybrid data structure that …

Advancements in hardware technology, especially Field Programmable Gate Arrays
(FPGAs), have shown potential in enhancing database performance. Yet, much of the …

In order to overcome the famous von Neumann bottleneck, FPGAs employ a dataflow model
that processes data through a pipeline of operator modules, akin to an assembly line for …

With the development of the digital economy and the sharp increase in economic
information, a large amount of data needs to be processed. Therefore, the demand for an …