By Marco E. Lübbecke (auth.), Ralf Klasing (eds.)
This booklet constitutes the refereed complaints of the eleventh overseas Symposium on Experimental Algorithms, SEA 2012, held Bordeaux, France, in June 2012. The 31 revised complete papers offered including three invited papers have been rigorously reviewed and chosen from sixty four submissions and current present study within the zone of layout, research, and experimental evaluate and engineering of algorithms, in addition to in a number of facets of computational optimization and its applications.
Read Online or Download Experimental Algorithms: 11th International Symposium, SEA 2012, Bordeaux, France, June 7-9, 2012. Proceedings PDF
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Additional info for Experimental Algorithms: 11th International Symposium, SEA 2012, Bordeaux, France, June 7-9, 2012. Proceedings
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Due to such a high number of page faults, the real run time of the two modes, aflk and aflk+skp, exceeds the real run time of the other two modes, bs and ibs, at a particular database size. For our experiment this is the case for a database size of 275 MB. This means that on our system for such databases having a size greater than or equal to 275 MB mode bs and mode ibs provide a better performance in terms of time and space! Note that the index files, which are constructed by mode aflk or aflk-skp for a database size of 275 MB, have a size of ≈ 4 GB, which is the maximal memory space provided by our system.
3 2nd Experiment—Mode IBS vs. Mode BS Considering Fig. 4(a), there is no big difference between the run time concerning the pattern search of mode ibs and bs. To figure out the reason, we checked the total number of character comparisons of each search for an affix link. Due to the precomputed array lcptree X , our improved binary search algorithm (cf. Algorithm 1) in general has to perform less character comparisons than the common binary search algorithm. Space Efficient Modifications to Structator 37 When searching for all 397 RSSPs, however, we assumed that the additional number of character comparisons, which the common binary search has to perform, is too low to produce a significant difference between both run times.
Multilevel graph partitioning This paper gives an overview of our recent work on balanced graph partitioning. We present four algorithms: KaPPa [5], KaSPar [6] (Karlsruhe Sequential Partitioner) which contracts only a single edge per level, KaFFPa [7] (Karlsruhe Fast Flow Partitioner) which uses advanced refinement techniques, and the distributed evolutionary algorithm, KaFFPa(E)volutionary [8]. We only give a short outline of the main ideas and refer to the respective papers for more details. 3 million edges, k ∈ {2, 4, 8, 16, 32, 64} blocks and imbalance ∈ {0, 1%, 3%, 5%}.