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This paper describes the Global Trees (GT) system that provides a multi-layered interface to a global address space view of distributed tree data structures, while providing scalable performance on distributed memory systems. The Global Trees system utilizes coarse-grained data movement to enhance locality and communication efficiency. We describe the design and implementation of GT, illustrate its...
Advances in data collection and storage technologies have given rise to large dynamic data stores. In order to effectively manage and mine such stores on modern and emerging architectures, one must consider both designing effective middleware support and re-architecting algorithms, to derive performance that commensurates with technological advances. In this article, we present a top-down view of...
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper, we present a scalable sampling implementation that supports efficient, multi-dimensional spatio-temporal sample generation on dynamic, large scale datasets stored on a storage cluster The proposed algorithm leverages Hilbert space-filling curves in order to...
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