Sam White

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—This paper presents an evaluation and comparison of three topologies that are popular for building interconnection networks in large-scale supercomputers: torus, fat-tree, and dragonfly. To perform this evaluation, we propose a comprehensive methodology and present a scalable packet-level network simulator, TraceR. Our methodology includes design of(More)
The purpose of this project is to develop a system that can auto-tune the sorting of a given set of data. Auto-tuning involves empirically searching through a set of parameters such that a given set of data can be sorted as fast as possible. The parameters involved in this empirical search include the type of sorting algorithm used, the type of hardware(More)
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