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 …

Disaggregated memory can address resource provisioning inefficiencies in current
datacenters. Multiple software runtimes for disaggregated memory have been proposed in …

Log-Structured Merge Tree (LSM-tree) key-value (KV) stores have been widely deployed in
the industry due to its high write efficiency and low costs as a tiered storage. To maintain …

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 …

Web search engines often involve a complex pipeline of processing stages including
computing, scoring, and ranking potential answers plus returning the sorted results. The …

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 …

The ability to perform machine learning (ML) tasks in a database management system
(DBMS) provides the data analyst with a powerful tool. Unfortunately, integration of ML into a …

Hardware is evolving at a very fast pace due to diverse trends in the IT industry. In the area
of data processing, it is fair to say that software often just reacts to these changes, trying to …

Recent research efforts propose remote memory systems that pool memory from multiple
hosts. These systems rely on the virtual memory subsystem to track application memory …