DSL Stream Programming on Multicore Architectures

International audienceTo effectively program parallel architectures it is important to combine a simple expression of the parallelism with efficient compiler optimizations. We propose a novel stream programming framework based on two domain specific languages that separate these two issues. A high-level declarative language allows to describe data dependencies between filters while an intermediate language enables powerful optimizations through a set of stream graph transformations. This two level approach offers a clean separation between the issue of programming complexity and the issue of target specific optimization

A multidimensional array slicing DSL for Stream Programming

International audienceStream languages offer a simple multi-core programming model and achieve good performance. Yet expressing data rearrangement patterns (like a matrix block decomposition) in these languages is verbose and error prone. In this paper, we propose a high-level programming language to elegantly describe n-dimensional data reorganization patterns.We show how to compile it to stream languages