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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
BEGIN:VEVENT
DTSTART:20151117T231500Z
DTEND:20151118T010000Z
LOCATION:Level 4 - Lobby
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: In this poster, we present an interactive visualization service framework - GLOVE for massively large scale scientific datasets. GLOVE is designed to support multiple user workloads and to provide interactive user interfaces. GLOVE improves the scalability of the framework and reduces the query latency by managing datasets in large scale distributed memories and by employing multi-dimensional indexing trees that help navigate through massively large datasets. In this poster, we primarily focus on our design and implementation of GPU-based multi-dimensional indexing for GLOVE. Our massively parallel tree traversal algorithm - MPRS for the=0AGPU avoids irregular memory access patterns and recursive backtracking and significantly improves the warp efficiency of the GPU and reduces query response time. Our preliminary experiments show GPU-based indexing accelerates the query performance by an order of magnitude.
SUMMARY:GLOVE: An Interactive Visualization Service Framework with Multi-Dimensional Indexing on the GPU
PRIORITY:3
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