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SK hynix and TetraMem collaborate on experimental chip to bolster edge AI energy efficiency
SK hynix, TetraMem, and the University of Southern California built a memristor-based in-memory computing system-on-chip for ...
Abstract: General Matrix Multiplication (GEMM) is a key subprogram in high-performance computing (HPC) and deep learning workloads. With the rising significance of power and energy consumption in HPC ...
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