A Slide-Window-Based Hardware XML Parsing Accelerator

Huang, Linan; Jiang, Jiang; Wang, Chang; Wang, Yanghan; Pei, Yan

doi:10.1007/978-3-662-45815-0_11

Cited by 1 publication

(2 citation statements)

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“…An alternative approach by Sidhu implements tree automata as a pair of a lexical and a tree automaton where the states of the lexical automaton form the transitions of the tree automaton [108]. Huang et al propose a sliding window XML parsing accelerator [59]. They assume that the XML is valid and based on that can process multiple non-delimiter characters in one cycle.…”

Section: Documentmentioning

confidence: 99%

“…Operator SP [16,17,21,65,75,87,114,115,146]; BFS [47,76,123,126]; MM [12]; PR [147]; Cent. [53] XML Parser [35,59,108]; Filter [27]; XPath [42,88,89]; Twig [90] Insert [78]; Hash [80] Binary representation HP [148]; VP [28]; IS [33]; CSR [7]; HWM [60,86]; Other [110,116,127,128,135] Hash table [18,61,121,140]; Socket [124]; Near-data [120];…”

Section: Graph Document Key-value Nrds -Functionalmentioning

confidence: 99%

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Non-Relational Databases on FPGAs: Survey, Design Decisions, Challenges

Dann¹,

Ritter²,

Fröning³

2020

Preprint

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Non-relational database systems (NRDS), such as graph, document, key-value, and wide-column, have gained much attention in various trending (business) application domains like smart logistics, social network analysis, and medical applications, due to their data model variety and scalability. The broad data variety and sheer size of datasets pose unique challenges for the system design and runtime (incl. power consumption). While CPU performance scaling becomes increasingly more difficult, we argue that NRDS can benefit from adding field programmable gate arrays (FPGAs) as accelerators. However, FPGA-accelerated NRDS have not been systematically studied, yet.To facilitate understanding of this emerging domain, we explore the fit of FPGA acceleration for NRDS with a focus on data model variety. We define the term NRDS class as a group of non-relational database systems supporting the same data model. This survey describes and categorizes the inherent differences and nontrivial trade-offs of relevant NRDS classes as well as their commonalities in the context of common design decisions when building such a system with FPGAs. For example, we found in the literature that for keyvalue stores the FPGA should be placed into the system as a smart network interface card (SmartNIC) to benefit from direct access of the FPGA to the network. However, more complex data models and processing of other classes (e. g., graph and document) commonly require more elaborate near-data or socket accelerator placements where the FPGA respectively has the only

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Section: Documentmentioning

confidence: 99%