Prof. Dr. rer. nat. habil. Sven Groppe

@ARTICLE{Werner2015,
  author = {Stefan Werner and Dennis Heinrich and Marc Stelzner and Volker Linnemann
	and Thilo Pionteck and Sven Groppe},
  title = {Accelerated join evaluation in Semantic Web databases by using FPGAs},
  journal = {Concurrency and Computation: Practice and Experience},
   year = {2015},
  volume =    {28},
  number =    {7},
  pages =     {2031--2051},
  month = {May 18},
  doi = {http://dx.doi.org/10.1002/cpe.3502}
}

@Article{OJDB_2016v3i1n02_Werner,
        author    = {Stefan Werner and Dennis Heinrich and Sven Groppe and Christopher Blochwitz and Thilo Pionteck},
        title     = {Runtime Adaptive Hybrid Query Engine based on FPGAs},
        journal   = {Open Journal of Databases (OJDB)},
        issn      = {2199-3459},
        year      = {2016},
        volume    = {3},
        number    = {1},
        pages     = {21--41},
        url       = {http://www.ronpub.com/publications/OJDB_2016v3i1n02_Werner.pdf},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {This paper presents the fully integrated hardware-accelerated query engine for large-scale datasets in the context of Semantic Web databases. As queries are typically unknown at design time, a static approach is not feasible and not flexible to cover a wide range of queries at system runtime. Therefore, we introduce a runtime reconfigurable accelerator based on a Field Programmable Gate Array (FPGA), which transparently incorporates with the freely available Semantic Web database LUPOSDATE. At system runtime, the proposed approach dynamically generates an optimized hardware accelerator in terms of an FPGA configuration for each individual query and transparently retrieves the query result to be displayed to the user. During hardware-accelerated execution the host supplies triple data to the FPGA and retrieves the results from the FPGA via PCIe interface. The benefits and limitations are evaluated on large-scale synthetic datasets with up to 260 million triples as well as the widely known Billion Triples Challenge.}
    }

@Article{OJWT_2014v1i2n02_Kusserow,
        title     = {Getting Indexed by Bibliographic Databases in the Area of Computer Science},
        author    = {Arne Kusserow and Sven Groppe},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199 -188X},
        year      = {2014},
        volume    = {1},
        number    = {2},
        pages     = {10--27},
        url       = {http://www.ronpub.com/publications/OJWT_2014v1i2n02_Kusserow.pdf},
        publisher = {RonPub},
        bibsource = {RonPub}
    }

@Article{GrGr08,
  author	=   {Jinghua Groppe and Sven Groppe},
  title		=   {{Filtering unsatisfiable XPath queries}},
  journal	=   {Data & Knowledge Engineering},
  volume	=   {64},
  number	=   {1},
  year		=   {2008},
  month		=   {January},
  pages		=   {134--169},
  publisher	=   {Elsevier B. V.},
  address	=   {Amsterdam, The Netherlands, The Netherlands},
  doi		=   {http://dx.doi.org/10.1016/j.datak.2007.06.018},
  issn		=   {0169-023X},
  bibsource	=   {IFIS, Universit{\"a}t zu L{\"u}beck},
  copyright	=   {Elsevier},
  note		=   {special issue with selected papers from the 8th International Conference on Enterprise Information Systems (ICEIS’ 2006)}
 }