Algorithmic optimizations Sample Clauses

Algorithmic optimizations. In addition to graph merging, the tool implements multiple further optimizations as distinct graph passes. This means that they operate on a dataflow graph and transform it in order to save hardware resources. While many passes just optimize regular dataflow graphs, some of them are unique to the problem of reusing nodes between separate graphs. All these graph passes run in a loop until the graph remains unchanged by an iteration. While this increases compilation time, it boosts the number of optimizations applied. We discovered that starting with a more optimized dataflow graph often leads to improved performance in terms of area reduction by the merging algorithms, thus we implemented many optimizations not specific to the problem of merging dataflow graphs to preprocess the graphs. For this reason after each node merging step all optimization graph passes are repeated.
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