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A Comprehensive Overview of GPU Accelerated Databases

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arxiv 2406.13831 v1 pith:2W7CDS2O submitted 2024-06-19 cs.DB

A Comprehensive Overview of GPU Accelerated Databases

Harshit Sharma , Anmol Sharma This is my paper
classification cs.DB
keywords databasesanalyticsdatagpusbandwidthlightperformanceprocessing
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Over the past decade, the landscape of data analytics has seen a notable shift towards heterogeneous architectures, particularly the integration of GPUs to enhance overall performance. In the realm of in-memory analytics, which often grapples with memory bandwidth constraints, the adoption of GPUs has proven advantageous, thanks to their superior bandwidth capabilities. The parallel processing prowess of GPUs stands out, providing exceptional efficiency for data-intensive workloads and outpacing traditional CPUs in terms of data processing speed. While GPU databases capitalize on these strengths, there remains a scarcity of comparative studies across different GPU systems. In light of this emerging interest in GPU databases for data analytics, this paper proposes a survey encompassing multiple GPU database systems. The focus will be on elucidating the underlying mechanisms employed to deliver results and key performance metrics, utilizing benchmarks such as SSB and TPCH. This undertaking aims to shed light on new avenues for research within the realm of GPU databases.

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Cited by 2 Pith papers

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  1. FliX: Flipped-Indexing for Scalable GPU Queries and Updates

    cs.DB 2026-04 unverdicted novelty 7.0

    FliX flips the indexing paradigm by mapping GPU compute to data buckets and using batch binary search, delivering up to 6.5x lower query latency and 4x better throughput per memory than leading GPU B-trees and LSM-trees.

  2. Accelerating Presto with GPUs

    cs.DB 2026-06 unverdicted novelty 4.0

    Presto is extended to GPU-aware execution using cuDF experiments on TPC-H, delivering up to 6x cost/performance gains over CPU Presto via optimized data paths and inter-operator communication.