Demo- The SABER system for window-based hybrid stream processing with GPGPUs

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Title: Demo- The SABER system for window-based hybrid stream processing with GPGPUs
Author(s): Pietzuch, PR
Koliousis, A
Weidlich, M
Costa, P
Wolf, A
Castro Fernandez, R
Item Type: Conference Paper
Abstract: Heterogeneous architectures that combine multi-core CPUs with many-core GPGPUs have the potential to improve the performance of data-intensive stream processing applications. Yet, a stream pro- cessing engine must execute streaming SQL queries with sufficient data-parallelism to fully utilise the available heterogeneous proces- sors, and decide how to use each processor in the most effective way. Addressing these challenges, we demonstrate SABER, a hybrid high-performance relational stream processing engine for CPUs and GPGPUs. SABER executes window-based streaming SQL queries in a data-parallel fashion and employs an adaptive scheduling strategy to balance the load on the different types of processors. To hide data movement costs, SABER pipelines the transfer of stream data between CPU and GPGPU memory. In this paper, we review the design principles of SABER in terms of its hybrid stream processing model and its architecture for query execution. We also present a web front-end that monitors processing throughput.
Publication Date: 30-Jun-2016
Date of Acceptance: 12-Jun-2016
URI: http://hdl.handle.net/10044/1/41256
DOI: https://dx.doi.org/10.1145/2933267.2933291
ISBN: 978-1-4503-4021-2
Publisher: Association for Computing Machinery
Start Page: 354
End Page: 357
Journal / Book Title: Proceeding of the10th ACM International Conference on Distributed and Event-Based Systems
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: FP7 - 318521
Conference Name: DEBS 2016
Copyright Statement: © 2016 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, (2016) http://doi.acm.org/10.1145/2933267.2933291
Publication Status: Published
Start Date: 2016-06-20
Finish Date: 2016-06-24
Conference Place: Irvine, CA
Appears in Collections:Faculty of Engineering
Computing



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