SCHEDULE: NOV 15-20, 2015

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GLOVE: An Interactive Visualization Service Framework with Multi-Dimensional Indexing on the GPU

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Jinwoong Kim, Sehoon Lee, Joong-Youn Lee, Beomseok Nam, Min Ah Kim

ROOM:Level 4 - Lobby

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
GPU 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.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Jinwoong Kim - Ulsan National Institute of Science and Technology

Sehoon Lee - Korea Institute of Science and Technology Information

Joong-Youn Lee - Korea Institute of Science and Technology Information

Beomseok Nam - Ulsan National Institute of Science and Technology

Min Ah Kim - Korea Institute of Science and Technology Information

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