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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20111116T003000Z
DTEND:20111116T010000Z
LOCATION:TCC 305
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: We present a query processing engine for scientific data based on ISABELA, a partitioned B-spline-lossy-compression scheme. We optimize spatial region and variable queries on variable and temporal constraints by performing temporal-delimited binning on the range of the variable values, ensuring near-uniform distribution of compressed data across bins. We demonstrate the high, user-controlled accuracy of reconstructed data through several analytic scenarios, and the competitive performance of variable/temporal-constrained query processing, while incurring both a smaller memory and storage footprint compared to both raw data and popular scientific database systems. Finally, we discuss a number of HPC optimizations, such as parallel I/O and multi-node/multi-core query processing parallelized by temporal constraints, that allow extreme scale scalability.
SUMMARY:ISABELA-QA: Query-driven Data Analytics over ISABELA-compressed Extreme-Scale Scientific Data
PRIORITY:3
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