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Gain-Cell Embedded DRAMs for Low-Power VLSI Systems-on-Chip (Hardcover, 1st ed. 2018): Pascal Meinerzhagen, Adam Teman, Robert... Gain-Cell Embedded DRAMs for Low-Power VLSI Systems-on-Chip (Hardcover, 1st ed. 2018)
Pascal Meinerzhagen, Adam Teman, Robert Giterman, Noa Edri, Andreas Burg, …
R3,449 Discovery Miles 34 490 Ships in 12 - 19 working days

This book pioneers the field of gain-cell embedded DRAM (GC-eDRAM) design for low-power VLSI systems-on-chip (SoCs). Novel GC-eDRAMs are specifically designed and optimized for a range of low-power VLSI SoCs, ranging from ultra-low power to power-aware high-performance applications. After a detailed review of prior-art GC-eDRAMs, an analytical retention time distribution model is introduced and validated by silicon measurements, which is key for low-power GC-eDRAM design. The book then investigates supply voltage scaling and near-threshold voltage (NTV) operation of a conventional gain cell (GC), before presenting novel GC circuit and assist techniques for NTV operation, including a 3-transistor full transmission-gate write port, reverse body biasing (RBB), and a replica technique for optimum refresh timing. Next, conventional GC bitcells are evaluated under aggressive technology and voltage scaling (down to the subthreshold domain), before novel bitcells for aggressively scaled CMOS nodes and soft-error tolerance as presented, including a 4-transistor GC with partial internal feedback and a 4-transistor GC with built-in redundancy.

Gain-Cell Embedded DRAMs for Low-Power VLSI Systems-on-Chip (Paperback, Softcover reprint of the original 1st ed. 2018): Pascal... Gain-Cell Embedded DRAMs for Low-Power VLSI Systems-on-Chip (Paperback, Softcover reprint of the original 1st ed. 2018)
Pascal Meinerzhagen, Adam Teman, Robert Giterman, Noa Edri, Andreas Burg, …
R3,515 Discovery Miles 35 150 Ships in 10 - 15 working days

This book pioneers the field of gain-cell embedded DRAM (GC-eDRAM) design for low-power VLSI systems-on-chip (SoCs). Novel GC-eDRAMs are specifically designed and optimized for a range of low-power VLSI SoCs, ranging from ultra-low power to power-aware high-performance applications. After a detailed review of prior-art GC-eDRAMs, an analytical retention time distribution model is introduced and validated by silicon measurements, which is key for low-power GC-eDRAM design. The book then investigates supply voltage scaling and near-threshold voltage (NTV) operation of a conventional gain cell (GC), before presenting novel GC circuit and assist techniques for NTV operation, including a 3-transistor full transmission-gate write port, reverse body biasing (RBB), and a replica technique for optimum refresh timing. Next, conventional GC bitcells are evaluated under aggressive technology and voltage scaling (down to the subthreshold domain), before novel bitcells for aggressively scaled CMOS nodes and soft-error tolerance as presented, including a 4-transistor GC with partial internal feedback and a 4-transistor GC with built-in redundancy.

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