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Date: 2012-03-30 13:42:28Concurrent computing Computing Parallel computing Data parallelism MapReduce General-purpose computing on graphics processing units Multi-core processor Thread Parallelism Granularity Apache Hadoop | Building Data-parallel Pipelines in Erlang Pero Subasic Erlang Factory, San Francisco March 29, 2012Add to Reading ListSource URL: www.erlang-factory.comDownload Document from Source WebsiteFile Size: 1,74 MBShare Document on Facebook |
SparkTrails: A MapReduce Implementation of HypTrails for Comparing Hypotheses About Human Trails Martin Becker Hauke MewesDocID: 1xUtT - View Document | |
Scaling Up with MapReduce, Hadoop, and Amazon Term Frequency Kenneth LayDocID: 1vprX - View Document | |
MapReduce による大規模分散システムのシミュレーション 杉野 好宏† 華井DocID: 1uWY0 - View Document | |
Densest Subgraph in Streaming and MapReduce Bahman Bahmani Ravi Kumar Sergei VassilvitskiiDocID: 1uBLZ - View Document | |
1/7/16 More Go, Lab 1 Hints, and MapReduce Tom AndersonDocID: 1utqA - View Document |