Our paper "Scalable Construction of Text Indexes with Thrill" was accepted to be presented at IEEE Big Data 2018. We present five different distributed suffix sorting algorithms implemented with the new distributed big data batch processing framework Thrill. The paper can be found here (DOI) and here (arXiv preprint).
The suffix array is the key to efficient solutions for myriads of string processing problems in different application domains, like data compression, data mining, or bioinformatics. With the rapid growth of available data, suffix array construction algorithms have to be adapted to advanced computational models such as external memory and distributed computing. In this article, we present five suffix array construction algorithms utilizing the new algorithmic big data batch processing framework Thrill, which allows scalable processing of input sizes on distributed systems in orders of magnitude that have not been considered before.