ReProVide: Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis

Hahn T, Langohr M, Meißner S, Döring B, Wildermann S, Meyer-Wegener K, Teich J (2025)

Publication Type: Conference contribution, other

Publication year: 2025

Conference Proceedings Title: Proceedings of the 21st Conference on Database Systems for Business, Technology and Web

Event location: Bamberg DE

Abstract

The goal of ReProVide is to provide novel hardware and optimisation techniques for scalable, high-performance processing of Big Data. The Programmable System-on-Chip (PSoC) architecture of ReProVide includes a reconfigurable FPGA for the support of hardware accelerators for various operators on relational and streaming data. Such PSoCs can be used to process data directly at the source, such as data from attached NVMes, using application-specific accelerators. For example, compute-intensive tasks such as JSON parsing can be offloaded to the hardware accelerators, reducing CPU load. In addition, reducing the volume of data at an early stage avoids unnecessary data movements, resulting in lower energy consumption. This demo illustrates the opportunities and benefits of hardware-reconfigurable, FPGA-based PSoCs for near-data processing. The demo allows users to run two queries and select which operations should be pushed onto the SoC for near-data hardware acceleration. From no acceleration to maximum acceleration, a 52x improvement in throughput and 67x lower energy consumption can be observed.

Authors with CRIS profile

Tobias Hahn Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Maximilian Langohr Chair for Computer Science 6 (Data Management) Stefan Wildermann Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Klaus Meyer-Wegener Chair for Computer Science 6 (Data Management) Jürgen Teich Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Related research project(s)

Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis (Phase II) (ReProVide II INF6) Aug. 1, 2021 - July 31, 2024 Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis (ReProVide) DFG-Schwerpunktprogramm (SPP) 2037 - Skalierbares Datenmanagement für zukünftige Hardware Aug. 28, 2017 - March 1, 2023

How to cite

APA:

Hahn, T., Langohr, M., Meißner, S., Döring, B., Wildermann, S., Meyer-Wegener, K., & Teich, J. (2025). ReProVide: Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis. In Proceedings of the 21st Conference on Database Systems for Business, Technology and Web. Bamberg, DE.

MLA:

Hahn, Tobias, et al. "ReProVide: Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis." Proceedings of the 21st Conference on Database Systems for Business, Technology and Web, Bamberg 2025.

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