Abstract
Workstation clusters have high performance interconnects with programmable network processors, which facilitate interesting opportunities to offload certain application specific computation on them and hence enhance the performance of the parallel application. Our earlier work in this direction achieves enhanced performance and balanced utilization of resources by exploiting the programmable features of the network interface in parallel database query execution. In this paper, we extend our earlier work for studying parallel query execution with Bloom filters. We propose and evaluate a scheme to offload the Bloom filter operations to the network processor. Further we explore offloading certain tuple processing activities on to the network processor by adopting a network interface attached disk scheme. The above schemes yield a speedup of up to 1.13 over the base scheme with Bloom filter where all processing is done by the host processor and achieve balanced utilization of resources. In the presence of a disk buffer cache, which reduces both the disk and I/O traffic, offloading schemes improve the speedup to 1.24.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Anderson, T., Culler, D., Patterson, D.: A Case for NOW (Networks of Workstations). IEEE Micro 16(1), 54–64 (1995)
Bloom, B.: Space/time trade-offs in hash coding with allowable errors. Communications of the ACM 13(7), 422–426 (1970)
Chen, M.-S., Lo, M.-L., Yu, P.S., Young, H.C.: Using Segmented Right-Deep Trees for the Execution of Pipelined Hash Joins. In: Proc. of 18th Very Large Data Bases, pp. 15–26 (August 1992)
DeWitt, D., Gray, J.: Parallel Database Systems: The future of High Performance Database Systems. Communications of the ACM 35(6), 85–98 (1992)
Jenkins, B. (1996), http://burtleburtle.net/bob/c/lookup2.c
Liu, J., Chandrasekaran, B., Yu, W., et al.: Microbenckmark Performance Comparison of High-Speed Cluster Interconnects. IEEE Micro 24(1), 42–51 (2004)
Mackert, L.F., Lohman, G.M.: R* Optimizer Validation and Performance Evaluation for Distributed Queries. In: Proc. of 12th Intl. Conf. on Very Large Data Bases, pp. 149–159 (August 1986)
Mishra, P., Eich, M.H.: Join Processing in relational databases. ACM Computing Surveys 24(1), 63–113 (1992)
PCI-SIG Home (2004), http://www.pcisig.com/
Santhosh Kumar, V., Thazhuthaveetil, M.J., Govindarajan, R.: Exploiting Programmable Network Interfaces for Parallel Query Execution in Workstation Clusters. TR-HPC-10/2005, LHPC, SERC, IISc (2005), http://hpc.serc.iisc.ernet.in/Publications/gvsk2005.ps
Schneider, D., DeWitt, D.: A performance evaluation of four parallel join algorithms in a shared-nothing multiprocessor environment. In: Proc. of ACM SIGMOD Conference (June 1989)
Schneider, D., DeWitt, D.: Tradeoffs in processing complex queries via hashing in multiprocessor database machines. In: Proc. of 16th Intl. Conf. on Very Large Data Bases (August 1990)
Seitz, C.L.: Myrinet Technology Roadmap. Myrinet Users Group Conf. (May 2002)
Karamcheti, V., Chien, A.: Software Overhead in Messaging Layers: Where Does the Time Go? In: Proc. of 6th Intl. Conf. on Architectural Support for Programming Languages and Operating Systems (October 1994)
Tamura, T., Oguchi, M., Kitsuregawa, M.: Parallel Database Processing on a 100 Node PC Cluster: Cases for Decision Support Query Processing and Data Mining. In: Proc. of Supercomputing (November 1997)
TPC BenchmarkTM H (Decision Support) Standard Specification Revision 1.3.0. Transaction Processing Performance Council(TPC) (1999)
Zuberek, W.M.: Modeling using Timed Petri Nets - event-driven simulation, Technical Report No. 9602, Dept. of Computer Science, Memorial Univ. of Newfoundland, St. John’s, Canada (1996), ftp://ftp.cs.mun.ca/pub/techreports/tr-9602.ps.Z
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kumar, V.S., Thazhuthaveetil, M.J., Govindarajan, R. (2005). Offloading Bloom Filter Operations to Network Processor for Parallel Query Processing in Cluster of Workstations. In: Bader, D.A., Parashar, M., Sridhar, V., Prasanna, V.K. (eds) High Performance Computing – HiPC 2005. HiPC 2005. Lecture Notes in Computer Science, vol 3769. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11602569_21
Download citation
DOI: https://doi.org/10.1007/11602569_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30936-9
Online ISBN: 978-3-540-32427-0
eBook Packages: Computer ScienceComputer Science (R0)