这是“外归并排序”能在主存外完成排序的关键步骤 -- 因为“归并算法”(merge algorithm)对每一个大块只是顺序地做一轮访问(进行归并),每个大块不用完全载入主存。
(like in the case of merge sort, which needs to take into account specific elements in the merging phase), a possible approach would be to load each element from external (or secondary) memory, into the main memory, one at a time and each time the algorithm requires to analyze that ...
sorting each chunk, and then merging the sorted chunks together. To illustrate, for sorting 900 megabytes of data with only 100 megabytes of RAM, one can use the external merge sort algorithm as follows: 1. Sort 100 MB of the data by a conventional ...
The research work on optimizing raw external mergesort algorithm on SSDs is relatively few. Thus, aiming at the external mergesort problem, based on the characteristics of SSDs, this paper proposes the SortDecision algorithm which can calculate its optimal execution scheme, including merging way, ...
The name of this algorithm is Natural Two-Way Sort Merge. Obvious lacks of these algorithms are that the first case is not taken into account by the already being order of data, and the second and third does not take into account decreasing OSS. In addition, three buffers are actually ...
* Initialize variables of Algorithm D (step D1). */ for (j = 0; j < maxTapes; j++) { state->tp_fib[j] = 1; state->tp_runs[j] = 0; state->tp_dummy[j] = 1; state->tp_tapenum[j] = j; } state->tp_fib[state->tapeRange] = 0; ...
main memory space-time integral/ C6130 Data handling techniques C4240 Programming and algorithm theory C6120 File organisationThe performance of two basic external sorting algorithms, distributive sorting and mergesort, is compared in an environment where even the main memory usage involves a cost. ...
Algorithm R已经给出很漂亮的处理。下面是算法demo。 /* Replacement selection */#include<stdio.h>#include<limits.h>#define TOK int/* Type of key; Simplify the key type with integer instead; */#define TRUEMAXKEY INT_MAX/* Larger than any possbile key */#define EOR -1/* End record */#...
External-Memory Sorting in Java: useful to sort very large files using multiple cores and an external-memory algorithm. The versions 0.1 of the library are compatible with Java 6 and above. Versions 0.2 and above require at least Java 8. This code is used in Apache Jackrabbit Oak as well ...
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