HERO-ML is an array language, on very high level, which is intended for
specifying data parallel algorithms in a concise and platform-independent
way where all the inherent data parallelism is easy to identify. The goal is to support the software development for heterogeneous
systems with different kinds of parallel numerical accelerators, where
programs tend to be very platform-specific and difficult to develop.
In this paper we describe HERO-ML, and a proof-of-concept implementation.