Automated dataflow graph merging

Conference Paper (2017)
Author(s)

Nils Voss (Maxeler Technologies, RWTH Aachen University)

Stephen Girdlestone (Maxeler Technologies)

Oskar Mencer (Maxeler Technologies)

Georgi Gaydadjiev (Maxeler Technologies)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1109/SAMOS.2016.7818351
More Info
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Publication Year
2017
Language
English
Affiliation
External organisation
Pages (from-to)
219-226
ISBN (electronic)
9781509030767

Abstract

In this paper we present several algorithms used to construct a tool that automatically optimizes static dataflow graphs for the purpose of high level hardware synthesis. Our target is to automatically merge multiple dataflow graphs in order to create a single structure implementing all distinct operations with minimal area overhead by time-slicing hardware resources. We show that a combination of dedicated optimizations and a simple greedy approach for graph merging reduces the overall area by up to 4x compared to a naive hardware implementation.

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