SAVIME: A Multidimensional System for the Analysis and Visualization of Simulation Data
Hermano Lustosa, Fabio Porto

TL;DR
SAVIME is a specialized array database system designed to efficiently manage and analyze large-scale simulation data, addressing limitations of traditional database systems in scientific applications.
Contribution
The paper introduces SAVIME, a novel multidimensional array database system tailored for simulation data analysis and visualization, bridging the gap between scientific data management and database technology.
Findings
SAVIME effectively manages large simulation datasets.
It supports in-situ analysis and visualization workflows.
The system demonstrates promising performance in handling multidimensional data.
Abstract
Scientific applications produce a huge amount of data, which imposes serious management and analysis challenges. In particular, limitations in current database management systems prevent their adoption in simulation applications, in which in-situ analysis libraries, in-transit I/O interfaces and scientific format files are preferred over DBMSs. In order to make simulation applications benefit from DBMS support, the author proposes the development of a system called SAVIME in the context of his PhD thesis. SAVIME is an array database system designed to manage numerical simulation data. In this document, the author presents all work conducted so far and the current state of development.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Data Storage Technologies · Advanced Database Systems and Queries · Scientific Computing and Data Management
