2022 IEEE International Solid- State Circuits Conference (ISSCC) 2022
DOI: 10.1109/isscc42614.2022.9731562
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A 192-Gb 12-High 896-GB/s HBM3 DRAM with a TSV Auto-Calibration Scheme and Machine-Learning-Based Layout Optimization

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Cited by 13 publications
(2 citation statements)
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“…Several near-memory architectures have been proposed to address the memory wall problem by reducing the distance between computation and memory [11][12][13]. In particular, in the near-memory architectures where standard highdensity memory and logic process components are integrated into a single package [14][15][16][17][18], cross-process design and analysis methods become a popular research topic [19][20][21].…”
Section: Introductionmentioning
confidence: 99%
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“…Several near-memory architectures have been proposed to address the memory wall problem by reducing the distance between computation and memory [11][12][13]. In particular, in the near-memory architectures where standard highdensity memory and logic process components are integrated into a single package [14][15][16][17][18], cross-process design and analysis methods become a popular research topic [19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…Standard Electronics Design Automation (EDA) tools do not support comprehensive SI analysis for these cross-process architectures. To establish sub-micron vertical interconnections between devices of different manufacturing processes, this crossprocess vertical interconnection employs buffer drivers for the vertical interconnect units, rather than I/O circuits of HBMs [14,15] or a virtual model of wireless stacked SRAM [16]. Because of the absence of I/O circuits or a virtual model for segmenting the cross-process structure, the SI analysis of SeDRAM is geared towards buffers, essentially following the design requirements of a standard 2D chip.…”
mentioning
confidence: 99%