Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...
Since combinatorial optimization problems (COPs) are a class of non-deterministic polynomial-time (NP)-hard problems, it is impracticable to solve them in brute-force searches, which results in high ...
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