Parallel depth first search. Part I. implementation
International Journal of Parallel Programming
SAX2
Investigating the Limits of SOAP Performance for Scientific Computing
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
An adaptive, fast, and safe XML parser based on byte sequences memorization
WWW '05 Proceedings of the 14th international conference on World Wide Web
WIN: An E.cient Data Placement Strategy for Parallel XML Databases
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Volume 01
A Binary XML for Scientific Applications
E-SCIENCE '05 Proceedings of the First International Conference on e-Science and Grid Computing
XML screamer: an integrated approach to high performance XML parsing, validation and deserialization
Proceedings of the 15th international conference on World Wide Web
A Table-Driven Streaming XML Parsing Methodology for High-Performance Web Services
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Benchmarking XML processors for applications in grid web services
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
A Static Load-Balancing Scheme for Parallel XML Parsing on Multicore CPUs
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Parallel XML Parsing Using Meta-DFAs
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
Validity of the single processor approach to achieving large scale computing capabilities
AFIPS '67 (Spring) Proceedings of the April 18-20, 1967, spring joint computer conference
A Parallel Approach to XML Parsing
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
A 1 cycle-per-byte XML parsing accelerator
Proceedings of the 18th annual ACM/SIGDA international symposium on Field programmable gate arrays
A cloud computing implementation of XML indexing method using hadoop
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
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XML has been widely adopted across a wide spectrum of applications.Its parsing efficiency, however, remains a concern, and can be a bottleneck.With the current trend towards multicore CPUs, parallelization to improve performanceis increasingly relevant. In many applications, the XML is streamedfrom the network, and thus the complete XML document is never in memory atany single moment in time. Parallel parsing of such a stream can be equated toparallel depth-first traversal of a streaming tree. Existing research on parallel treetraversal has assumed the entire tree was available in-memory, and thus cannotbe directly applied. In this paper we investigate parallel, SAX-style parsing ofXML via a parallel, depth-first traversal of the streaming document. We showgood scalability up to about 6 cores on a Linux platform.