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#edge computing Open access Sep 2026

Sub-Microsecond Deterministic Inference Processor via 3D Heterogeneous Integration of Thin-Film Lithium Niobate Acoustic Resonators on 28nm eRRAM/SOT-MRAM CMOS

Modern deep learning accelerators (GPUs, TPUs) are fundamentally constrained by the von Neumann memory wall: over 90% of total inference energy and latency is consumed by shuttling high-precision matrix weights across off-chip memory hierarchies (HBM3e, GDDR6) rather than executing arithmetic operations. Furthermore, a...

Christian Duguay, Alix · 0 citations
#edge computing Open access Sep 2026

Sub-Microsecond Deterministic Inference Processor via 3D Heterogeneous Integration of Thin-Film Lithium Niobate Acoustic Resonators on 28nm eRRAM/SOT-MRAM CMOS

Modern deep learning accelerators (GPUs, TPUs) are fundamentally constrained by the von Neumann memory wall: over 90% of total inference energy and latency is consumed by shuttling high-precision matrix weights across off-chip memory hierarchies (HBM3e, GDDR6) rather than executing arithmetic operations. Furthermore, a...

Christian Duguay, Alix · 0 citations

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