Uncore your Queries: Towards CPU-less Query Processing

Accelerators allow computation to be offloaded from the CPU and improve query performance.Intel has recently introduced a dedicated Data Accelerator Complex (DAC) for its scalable Xeon processor family.Among the four accelerators, the In-Memory Analytics Accelerator (IAA) provides functionality for offloading query processing operations from the CPU.In this work, we investigate the potential of this accelerator for database queries.We propose a coreless query processing approach in which query operators such as scan, filter, but also sorting, and joins are executed on the accelerator.Our evaluation shows that offloading tasks such as filter and join operators to IAA achieves performance comparable to highthread-count CPU processing.Further speedups on compressed data enable the DBMS to free CPU resources more efficiently for other tasks.

Authors

Institutions

Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1145/3736227.3736243
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncore your Queries: Towards CPU-less Query Processing

Alexander Baumstark, Kai-Uwe Sattler, L. A. Martins
Advanced Database Systems and Queries
article

Uncore your Queries: Towards CPU-less Query Processing

Alexander Baumstark, Kai-Uwe Sattler, L. A. Martins
article en

Abstract

Accelerators allow computation to be offloaded from the CPU and improve query performance.Intel has recently introduced a dedicated Data Accelerator Complex (DAC) for its scalable Xeon processor family.Among the four accelerators, the In-Memory Analytics Accelerator (IAA) provides functionality for offloading query processing operations from the CPU.In this work, we investigate the potential of this accelerator for database queries.We propose a coreless query processing approach in which query operators such as scan, filter, but also sorting, and joins are executed on the accelerator.Our evaluation shows that offloading tasks such as filter and join operators to IAA achieves performance comparable to highthread-count CPU processing.Further speedups on compressed data enable the DBMS to free CPU resources more efficiently for other tasks.

Technische Universität Ilmenau (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 82%
Advanced Database Systems and Queries
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.