Work

Accelerating In-memory Database Functionality with FPGAs

Year: 2024

Type: article

Abstract: In this article, we present a hardware offload of part of the delta merge process used in In-Memory Databases (IMDBs). The delta merge process is fundamental in maintaining high transactional throughput for IMDBs. Improving the efficiency of the delta merge process allows running it more frequently, which will improve the performance for transactional throughout for an IMDB. Our FPGA design supports more use cases than existing research, and was demonstrated to be faster than the existing implementation in an enterprise database, offering speedups of between 4 \(\times\) and 100 \(\times\) compared to the CPU optimised implementation, depending on the properties of the database columns.

Source: ACM Transactions on Reconfigurable Technology and Systems

DOI: 10.1145/3706113

Authors: Jordan Leggett, John McGlone, Suleyman Demirsoy, Christian Faerber, Vadim Pelyushenko

Institutions: Queen's University Belfast, Systems, Applications & Products in Data Processing (United Kingdom), Intel (United Kingdom), Intel (Germany), University of California, Santa Cruz

Language: English

Topic: Advanced Database Systems and Queries

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4405529260

FWCI: 0.507

Cites: 14

Cited by: 3

Related to: 10