Abstract
This chapter presents dataflow paradigm in general and streams of data, offsets, different number representations as key points for acceleration and discusses implementation details of C4.5 on the dataflow accelerators. The limited number range of the algorithm makes it suitable for dataflow implementation using custom data types and its iterative nature enables utilization of data streams. It is shown how part of an algorithm (information gain entropy) can be migrated using advanced optimization constructs.