Search Results for author: Michael DiBrino

Found 1 papers, 0 papers with code

SySMOL: Co-designing Algorithms and Hardware for Neural Networks with Heterogeneous Precisions

no code implementations23 Nov 2023 Cyrus Zhou, Pedro Savarese, Vaughn Richard, Zack Hassman, Xin Yuan, Michael Maire, Michael DiBrino, Yanjing Li

We present an end-to-end co-design approach encompassing computer architecture, training algorithm, and inference optimization to efficiently execute networks with fine-grained heterogeneous precisions.

Inference Optimization Quantization

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