Read e-book online Algorithms and Data Structures for External Memory PDF

By Jeffrey Scott Vitter

ISBN-10: 1601981066

ISBN-13: 9781601981066

Info units in huge functions are frequently too big to slot thoroughly contained in the computer's inner reminiscence. The ensuing input/output conversation (or I/O) among speedy inner reminiscence and slower exterior reminiscence (such as disks) could be a significant functionality bottleneck. Algorithms and information constructions for exterior reminiscence surveys the state-of-the-art within the layout and research of exterior reminiscence (or EM) algorithms and knowledge buildings, the place the target is to take advantage of locality and parallelism with the intention to decrease the I/O bills. a number of EM paradigms are thought of for fixing batched and on-line difficulties successfully in exterior reminiscence. Algorithms and information constructions for exterior reminiscence describes a number of worthwhile paradigms for the layout and implementation of effective EM algorithms and knowledge constructions. the matter domain names thought of comprise sorting, permuting, FFT, clinical computing, computational geometry, graphs, databases, geographic details platforms, and textual content and string processing. Algorithms and knowledge buildings for exterior reminiscence is a useful reference for anyone drawn to, or carrying out learn within the layout, research, and implementation of algorithms and information buildings.

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Chaudhry and Cormen [97] show experimentally that oblivious algorithms such as Columnsort work well in the context of cluster-based sorting. Aggarwal and Plaxton [22] developed an optimal deterministic merge sort based upon the Sharesort hypercube parallel sorting algorithm [126]. To guarantee even distribution during the merging, it employs two high-level merging schemes in which the scheduling is almost oblivious. , within a constant factor of the optimum), but the constant factor is larger than for the distribution sort methods.

Therefore, the maximum number S of buckets (and partitioning elements) is Θ(M/B) = Θ(m), and the resulting number of levels of recursion is Θ(logm n). In the last level of recursion, there is no point in having buckets of fewer than Θ(M ) items, so we can limit S to be O(N/M ) = O(n/m). These two constraints suggest that the desired number S of partitioning elements is Θ min{m, n/m} . It seems difficult to find S = Θ min{m, n/m} partitioning elements deterministically using Θ(n/D) I/Os and guarantee that the bucket sizes are within a constant factor of one another.

4, including a careful derivation of the constants of proportionality in the permuting and sorting lower bounds. We also mention some related I/O lower bounds for the batched problems in computational geometry and graphs that we cover later in Chapters 8 and 9. a. streaming or touching) a file of N data items, which can be done in a linear number O(N/DB) = O(n/D) of I/Os. Permuting is one of several simple problems that can be done in linear CPU time in the (internal memory) RAM model. But if we assume that the N items are indivisible and must be transferred as individual entities, permuting requires a nonlinear number of I/Os in PDM because of the locality constraints imposed by the block parameter B.

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Algorithms and Data Structures for External Memory by Jeffrey Scott Vitter


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