16 research outputs found
Minimum cycle bases of direct products of complete graphs
Abstract This paper presents a construction of a minimum cycle basis for the direct product of two complete graphs on three or more vertices. With the exception of two special cases, such bases consist entirely of triangles
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Computing: report leaps geographical barriers but stumbles over gender
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/62917/1/441025a.pd
Exploring the Design Space of Static and Incremental Graph Connectivity Algorithms on GPUs
Connected components and spanning forest are fundamental graph algorithms due
to their use in many important applications, such as graph clustering and image
segmentation. GPUs are an ideal platform for graph algorithms due to their high
peak performance and memory bandwidth. While there exist several GPU
connectivity algorithms in the literature, many design choices have not yet
been explored. In this paper, we explore various design choices in GPU
connectivity algorithms, including sampling, linking, and tree compression, for
both the static as well as the incremental setting. Our various design choices
lead to over 300 new GPU implementations of connectivity, many of which
outperform state-of-the-art. We present an experimental evaluation, and show
that we achieve an average speedup of 2.47x speedup over existing static
algorithms. In the incremental setting, we achieve a throughput of up to 48.23
billion edges per second. Compared to state-of-the-art CPU implementations on a
72-core machine, we achieve a speedup of 8.26--14.51x for static connectivity
and 1.85--13.36x for incremental connectivity using a Tesla V100 GPU
Efficient evaluation of continuous range queries on moving objects
Abstract. In this paper we evaluate several in-memory algorithms for efficient and scalable processing of continuous range queries over collections of moving objects. Constant updates to the index are avoided by query indexing. No constraints are imposed on the speed or path of moving objects. We present a detailed analysis of a grid approach which shows the best results for both skewed and uniform data. A sorting based optimization is developed for significantly improving the cache hit ratio. Experimental evaluation establishes that indexing queries using the Grid index yields orders of magnitude better performance than other index structures such as R*-trees.