Abstract:High-level synthesis (HLS) can be used to create hardware accelerators for compute-intense software parts such as loop structures. Usually, this process requires significant amount of user interaction to steer kernel selection and optimizations. This can be tedious and time-consuming. In this article, we present an approach that fully autonomously finds independent loop iterations and reductions to create parallelized accelerators. We combine static analysis with information available only at runtime to maximi… Show more
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