In this article, we survey existing academic and commercial efforts to provide Field-
Programmable Gate Array (FPGA) acceleration in datacenters and the cloud. The goal is a …

Hybrid computing systems, consisting of a CPU server coupled with a Field-Programmable
Gate Array (FPGA) for application acceleration, are today a common facility in datacenters …

Hybrid computing platforms, comprising CPU cores and FPGA logic, are increasingly used
for accelerating data-intensive workloads in cloud deployments, and are a growing topic of …

Cloud deployments disaggregate storage from compute, providing more flexibility to both the
storage and compute layers. In this paper, we explore disaggregation by taking it one step …

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

Today's Hybrid Transactional and Analytical Processing (HTAP) systems, tackle the ever-
growing data in combination with a mixture of transactional and analytical workloads. While …

In the last five years, FPGA presence in the cloud has gone from near zero (except for
deeply embedded devices) to a large fraction of all high-end FPGAs sold. This is because …

The significant overhead needed to transfer the data between CPUs and memory devices is
one of the hottest issues in many areas of computing, such as database management …

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 …