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Titlebook: Experimental Algorithms; 15th International S Andrew V. Goldberg,Alexander S. Kulikov Conference proceedings 2016 Springer International Pu

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楼主: intensify
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https://doi.org/10.1007/978-3-662-11821-4highly parallel data flows with a common performance goal (e.g., the shuffle operations in MapReduce applications). Chowdhury and Stoica [.] introduced the coflow abstraction to capture these parallel communication patterns, and Chowdhury et al. [.] proposed effective heuristics to schedule coflows
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https://doi.org/10.1007/978-1-62703-284-1apted to several variants of the problem. We explore the practical properties of our solution in an experimental study where we compare to online and semi-indexed solutions using standard datasets. The experiments show that our approach is the best choice for searching patterns with many gaps in large texts.
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Sunil Kumar Raghav,Bart DeplanckeWe propose a practical algorithm that, while robust to user preferences, is able to integrate global changes of the time-dependent metric faster than previous approaches and allows queries in the order of milliseconds.
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,-Inactivation of Homologous Sequences in ,, for LZ77 decoding, prove that their I/O complexity is optimal, and demonstrate that they are very fast in practice, only about three times slower than in-memory decoding (when reading input and writing output is included in the time).
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Kenneth W. Culver,R. Michael Blaesend updates in . time on a .-bit word machine. This is the first implementation that provably achieves compressed space and is also practical, operating within microseconds. Bitvectors are the basis of most compressed data structures; we explore applications to sequences and graphs.
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Dynamic Time-Dependent Route Planning in Road Networks with User Preferences,We propose a practical algorithm that, while robust to user preferences, is able to integrate global changes of the time-dependent metric faster than previous approaches and allows queries in the order of milliseconds.
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