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UID:submissions.pasc-conference.org_PASC21_sess182_post183@linklings.com
SUMMARY:P42 - Database Optimization Techniques for Scientific Applications
DESCRIPTION:Poster\n\nP42 - Database Optimization Techniques for Scientifi
 c Applications\n\nYellapragada, Yellapragada\n\nDatabases have proven to b
 e a very important component in both commercial and scientific areas. Trad
 itional techniques to optimize database systems have only been helpful in 
 managing structured or semi-structured data. However, many scientific appl
 ications like climate observation or biochemical simulations are data-inte
 nsive and produce large volumes of complex data. Therefore, this work focu
 ses on the improvement of organizing and searching techniques to obtain ma
 ximum scientific-computing performance by tuning the queries and the execu
 tion processes with respect to three attributes: <br />1. Using frameworks
  like MPI to exploit massive parallelism within large databases to provide
  scalable, fast query performance<br />2. Using array databases for maximu
 m scientific-computing performance - Comparison of different Array Alegra 
 techniques (NRCA, SciQL, AFL, ODMG) have been made.<br />3. A directed gra
 ph representation of hierarchial relationships so that queries against the
  table that require the path information may be answered quickly and effic
 iently.
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