Abstract: Machine Learning (ML)-based optimization frameworks emerge as a promising technique for solving large-scale Mixed Integer Linear Programs (MILPs), as they can capture the mapping between ...
Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...
MapBuf is the new addition to the family of buffer insertion algorithms in Dynamatic that considers technology mapping and logic synthesis in the timing constraints. Compared to its siblings, who ...
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