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Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture

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Software-hardware co-design for accelerating large-scale graph convolutional network inference on FPGA
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Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search
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Splitting and parallelizing of quantum convolutional neural networks for learning translationally symmetric data
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Quantifying the impact of precision errors on quantum approximate optimization algorithms
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Efficient tensor core-based GPU kernels for structured sparsity under reduced precision
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Review on Quantum Computing for Lattice Field Theory
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