enumaerate
发表于 2025-3-28 17:49:54
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
bronchodilator
发表于 2025-3-28 21:18:25
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永久
发表于 2025-3-28 23:20:57
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结合
发表于 2025-3-29 06:20:43
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.
FILTH
发表于 2025-3-29 11:10:02
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.
Emasculate
发表于 2025-3-29 13:36:16
,-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).
连锁,连串
发表于 2025-3-29 17:00:43
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.
拖网
发表于 2025-3-29 21:18:56
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adroit
发表于 2025-3-30 01:51:13
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抛射物
发表于 2025-3-30 05:59:59
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.