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MEDEM: Multi-Engine DL Accelerator Design Methodology

Qararyah, Fareed et al.
arXiv (All) · Papers
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distributedhardware-architectureparallelperformance
Multi-engine deep learning (DL) accelerators are becoming increasingly prevalent as they address the heterogeneity and growing complexity of modern DL workloads. To efficiently process diverse DL workloads, these accelerators must incorporate combinations of engines with complementary capabilities t
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