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      <title>Large-scale self-normalizing neural networks</title>
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      <title>Ecssd: Hardware/data layout co-designed in-storage-computing architecture for extreme classification</title>
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      <title>MPU: Memory-centric SIMT processor via in-DRAM near-bank computing</title>
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      <title>Rm-stc: Row-merge dataflow inspired gpu sparse tensor core for energy-efficient sparse acceleration</title>
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      <title>Spg: Structure-private graph database via squeezepir</title>
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      <title>Autocomm: A framework for enabling efficient communication in distributed quantum programs</title>
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      <title>Dynamic sparse attention for scalable transformer acceleration</title>
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      <title>ReDCIM: Reconfigurable digital computing-in-memory processor with unified FP/INT pipeline for cloud AI acceleration</title>
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      <title>TranCIM: Full-digital bitline-transpose CIM-based sparse transformer accelerator with pipeline/parallel reconfigurable modes</title>
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