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This paper proposes a lazy arithmetic approach using systolic arrays to close the verification gap for deep neural networks on embedded systems, addressing numerical incompatibilities and hardware vulnerabilities.
This article explains how systolic arrays handle over 95% of AI chip compute, detailing their design, modes of operation, and why they are efficient for matrix multiplication.