in my last post I already wrote about the kmeans clustering with Apache Hama and BSP.
Now we have a detailed benchmark of my algorithm.
Have a look here for the current state taken from here: http://wiki.apache.org/hama/Benchmarks
Because it will change during the lifetime of Apache Hama, I made a screenshot from the very first benchmark. Maybe to document performance improvements ;)
Have a look here:
Is it faster than MapReduce?
Yes! I recently read in the new "Taming Text" by Grant S. Ingersoll that the same amount of workload takes the same time, but not in seconds, but in minutes.
However, I want to benchmark it against the same dataset and on the same machines to get a fully comparable result.
Besides the benchmark against MapReduce and Mahout, I want to show the guys from Mahout that it is reasonable to use BSP as an alternative to MapReduce. I look forward that they use Apache Hama and BSP within the next year as an alternative to MapReduce implementations for various tasks.
Thanks to Edward who made this possible!