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 …

In this paper we experimentally study the performance of main-memory, parallel, multi-core
join algorithms, focusing on sort-merge and (radix-) hash join. The relative performance of …

Many practical data-processing algorithms fail to execute efficiently on general-purpose
CPUs (Central Processing Units) due to the sequential matter of their operations and …

FPGA-based accelerators have recently evolved as strong competitors to the traditional GPU-
based accelerators in modern high-performance computing systems. They offer both high …

Vector search has emerged as the foundation for large-scale information retrieval and
machine learning systems, with search engines like Google and Bing processing tens of …

This book focuses on the use of algorithmic high-level synthesis (HLS) to build application-
specific FPGA systems. Our goal is to give the reader an appreciation of the process of …

As the size of data generated every day grows dramatically, the computational bottleneck of
computer systems has been shifted toward the storage devices. Thanks to recent …

FPGA-based data processing in datacenters is increasing in popularity due to the demands
of modern workloads and the resulting need for specialization in hardware. Driven by this …

Parallel sorting networks are widely employed in hardware implementations for sorting due
to their high data parallelism and low control overhead. In this paper, we propose an energy …

Database systems are key to a variety of applications, and FPGA-based accelerators have
shown promise in supporting high-performance database systems. This survey presents a …