Complexity Theory for MapReduce Algorithms
1:21:46
Microsoft
Complexity Theory for MapReduce Algorithms
For many problems, algorithms implemented in MapReduce or similar two-ranks-of-parallel-tasks systems exhibit a tradeoff between memory size and communication. More precisely, the tradeoff is between “reducer size” (the number of inputs received by the second rank of parallel tasks) and the “replication rate” (the average number of key ...
Aug 18, 2016
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