This paper introduces the support for parallel and distributed processing in a DSL for Geospatial Data Visualization to speed up the data pre-processing phase.
Support for parallel and distributed processing in a DSL for Geospatial Data Visualization to speed up the data pre-processing phase is introduced.
Following this idea, in previous work [5] we presented a MPI-based distributed support for a data stream preprocessing and visualization DSL.
This paper introduces the support for parallel and distributed processing in a DSL for Geospatial Data Visualization to speed up the data pre-processing phase.
... Processing with MPI for Video Analytics and Data Visualization ... Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL.
Our DSL's parallel data pre-processor is faster than the sequential ... Geospatial Data Visualization Supporting Multi-core Parallelism,” Mas- ter's ...
... Processing with MPI for Video Analytics and Data Visualization ... Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL.
A High-Level Dsl For Geospatial Visualizations With Multi-core ...
120.55.56.85 › literature › detail
Parallel And Distributed Processing Support For A Geospatial Data Visualization Dsl ... Distributed Processing Support For A Geospatial Data Visualization Dsl.
Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL Inproceedings doi. In: Symposium on High Performance Computing Systems ...
queries utilizing the distributed storage and MapReduce capabilities of Hadoop. Hadoop-GIS support spatial data types, spatial operators and functions.
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