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The reasons for this are two-fold: First, data deduplication requires overhead to discover and remove the duplicate data. In primary storage systems, this overhead may impact performance. The second reason why deduplication is applied to secondary data, is that secondary data tends to have more duplicate data.
They also suggested the possibility of using a simpler method — picking random numbers from one to N and discarding any duplicates—to generate the first half of the permutation, and only applying the more complex algorithm to the remaining half, where picking a duplicate number would otherwise become frustratingly common.
Distributed Single Shot Bloom filter for duplicate detection with false positive rate: 6 elements are distributed over 3 PEs, each with a bit array of length 4. During the first communication step PE 1 receives the hash '2' twice and sends it back to either PE 2 or 3, depending on who sent it later.
Prepare yourself for the possibility of an eight-way tie atop the SEC standings. It’s not even that hard to imagine. This is all it would take:
With CFP positioning on the line in many of these games, here is how to watch all of the action today that will shape the playoff.
Partial-redundancy elimination – removing duplicate calculations previously performed in some branches of the program Strength reduction – replacing expensive operations by less expensive but equivalent ones, e.g. replace integer multiply or divide by powers of 2 with the potentially less expensive shift left (for multiply) or shift right ...
SOCHI, Russia (Reuters) -President Vladimir Putin suggested on Thursday that Russia could hold military drills with North Korea. "We'll see. We could also conduct exercises.
Depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node (selecting some arbitrary node as the root node in the case of a graph) and explores as far as possible along each branch before backtracking.