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HERO-ML: A Very High-Level Array Language for Executable Modelling of Data Parallel Algorithms


Research group:

Publication Type:

Conference/Workshop Paper


ARRAY 2023




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.


author = {Bj{\"o}rn Lisper and Linus K{\"a}llberg},
title = {HERO-ML: A Very High-Level Array Language for Executable Modelling of Data Parallel Algorithms},
month = {June},
year = {2023},
booktitle = {ARRAY 2023},
url = {}