Large-scale seismic signal analysis with Hadoop
A global dataset of over 300 million waveforms has been cross correlated. The algorithms have been adapted to run as MapReduce jobs on a Hadoop cluster. Increased parallelism was required to make best use of mappers. IO was significantly increased but had little impact on performance. A factor of 19 speedup was achieved relative to initial implementation.
hadoop correlation mapreduce seismology