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 …

Data transfers impose a major bottleneck in heterogenous system architectures. As a
mitigation strategy, compute resources can be introduced in places where data occurs …

With the continued increase in the amount of big data generated and stored in various
application domains, such as high-frequency trading, compression techniques are …

Analytical database systems are typically designed to use a column-first data layout to
access only the desired fields. On the other hand, storing data row-first works great for …

A key design decision for data systems is whether they follow the row-store or the column-
store paradigm. The former supports transactional workloads, while the latter is better for …

A key design decision for data systems is whether they follow the row-store or the column-
store paradigm. The former supports transactional workloads, while the latter is better for …

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 …

FPGAs have transformed digital design by enabling versatile and customizable solutions
that balance performance and power efficiency, yielding them essential for today's diverse …