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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:
1. Using frameworks
like MPI to exploit massive parallelism within large databases to provide
scalable, fast query performance
2. Using array databases for maximu
m scientific-computing performance - Comparison of different Array Alegra
techniques (NRCA, SciQL, AFL, ODMG) have been made.
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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