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Jeffrey Scott Vitter's Algorithms and Data Structures for External Memory PDF

By Jeffrey Scott Vitter

Info units in huge functions are frequently too substantial to slot thoroughly contained in the computer's inner reminiscence. The ensuing input/output communique (or I/O) among speedy inner reminiscence and slower exterior reminiscence (such as disks) could be a significant functionality bottleneck. Algorithms and knowledge buildings for exterior reminiscence surveys the cutting-edge within the layout and research of exterior reminiscence (or EM) algorithms and information constructions, the place the aim is to take advantage of locality and parallelism for you to decrease the I/O charges. quite a few EM paradigms are thought of for fixing batched and on-line difficulties successfully in exterior reminiscence. Algorithms and information constructions for exterior reminiscence describes numerous worthwhile paradigms for the layout and implementation of effective EM algorithms and knowledge buildings. the matter domain names thought of comprise sorting, permuting, FFT, medical computing, computational geometry, graphs, databases, geographic details platforms, and textual content and string processing. Algorithms and information buildings for exterior reminiscence is a useful reference for anyone drawn to, or undertaking examine within the layout, research, and implementation of algorithms and knowledge buildings.

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Additional resources for Algorithms and Data Structures for External Memory (Foundations and Trends(R) in Theoretical Computer Science)

Example text

RCD operates very fast in practice. 1 performs similarly. 1 18000 RCD SRD RSD FRD 16000 14000 Frequency 12000 10000 8000 6000 4000 2000 0 0 10 20 30 40 50 60 70 Memory Used (blocks) 80 90 100 110 Fig. 1 for four methods: RCD (randomized cycling distribution), SRD (simple randomized distribution — striping with a random starting disk), RSD (randomized striping distribution — striping with a random starting disk for each stripe), and FRD (fully randomized distribution — each bucket is independently and randomly assigned to a disk).

3 Prefetching, Caching, and Applications to Sorting 43 Hon et al. [198] have developed competitive and optimal methods for prefetching blocks in parallel I/O systems. We focus in the remainder of this section on prefetching with knowledge of future read requests. We use the general framework of Hutchinson et al. [202], who demonstrate a powerful duality between prefetch scheduling and the following problem “in the reverse direction,” which we call output scheduling: We are given a sequence Σ = b1 , b2 , .

The same techniques can be applied to many of the batched problems we discuss later in this manuscript. 2 are the methods of choice for external sorting. 1) with the lowest known constant of proportionality. 2, provide efficient support for writing redundant parity information onto the disks for purposes of error correction and recovery. For example, some of the methods access the D disks independently during parallel input operations, but in a striped manner during parallel output operations. As a result, if we output D − 1 blocks at a time in an I/O, the exclusive-or of the D − 1 blocks can be output onto the Dth disk during the same I/O operation.

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