- Sparql Compiler for Bobox2010 | Faculty of Mathematics and Physics
- SPARQL Compiler for Bobox2010 | Faculty of Mathematics and Physics
- Bobox Model Visualization2010 | Faculty of Mathematics and Physics
- SPARQL query evaluation using Bobox2011 | Faculty of Mathematics and Physics
- Bobolang - A Language for Bobox2013 | Faculty of Mathematics and Physics
- The Bobox Project - A Parallel Native Repository for Semi-structured Data and the Semantic Web2009 | Faculty of Mathematics and Physics
- High availability in D-Bobox2013 | Faculty of Mathematics and Physics
- Parallel SPARQL Query Processing Using Bobox2012 | Faculty of Mathematics and Physics
- Achieving High Availability in D-Bobox2014 | Faculty of Mathematics and Physics
- SPARQL Query Processing Using Bobox Framework2011 | Faculty of Mathematics and Physics
- D-Bobox: About distributability of the Bobox2012 | Faculty of Mathematics and Physics
- BoboxPublication without faculty affiliation
- Optimization of sorting algorithms for data stream systems2011 | Faculty of Mathematics and Physics
- Bobox: Parallelization Framework for Data Processing2012 | Faculty of Mathematics and Physics
- Bobox - a highly parallel framework for data processingPublication without faculty affiliation
- Locality Aware Task Scheduler for BoboxPublication without faculty affiliation
- Using Static Code Analysis for Improvement of Job Data Availability in Bobox Task Scheduling2015 | Faculty of Mathematics and Physics
- Using Static Code Analysis to Improve Coarse Task Granularity in Bobox2015 | Faculty of Mathematics and Physics
- SPARQL parallel enginePublication without faculty affiliation
- On Parallel Evaluation of SPARQL Queries2012 | Faculty of Mathematics and Physics
- Task Scheduling in Data Stream Processing2011 | Faculty of Mathematics and Physics
- On Parallel Sorting of Data Streams2012 | Faculty of Mathematics and Physics
- Highly Scalable Sort-Merge Join Algorithm for RDF Querying2013 | Faculty of Mathematics and Physics
- Bobolang - A Language for Parallel Streaming Applications2014 | Faculty of Mathematics and Physics
- In-Memory Parallel SPARQL Engine2017 | Faculty of Mathematics and Physics
- Combining Distributed Computing and Massively Parallel Devices to Accelerate Stream Data Processing2015 | Faculty of Mathematics and Physics
- Using Methods of Parallel Semi-structured Data Processing for SemanticWeb2009 | Faculty of Mathematics and Physics
- Transformation of Pipeline Stage Algorithms to Event-Driven Code2014 | Faculty of Mathematics and Physics