Speaker
Timo Bingmann
(KIT)
Description
We present on-going work on a new distributed Big Data processing
framework called Thrill. It is a C++ framework consisting of a set of
basic scalable algorithmic primitives like mapping, reducing, sorting,
merging, joining, and additional MPI-like collectives. This set of
primitives goes beyond traditional Map/Reduce and can be combined into
larger more complex algorithms, such as WordCount, PageRank, k-means
clustering, and suffix sorting. These complex algorithms can then be run
on very large inputs using a distributed computing cluster.
