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Seongkwang Lim

Publications and source records attributed to Seongkwang Lim.

2 recordsLinked to original sources

System-Technology Co-Optimization of Bitline Routing and Bonding Pathways in Monolithic 3D DRAM Architectures

3D DRAM has emerged as a promising approach for continued density scaling, but its viability is limited by routing and hybrid bonding constraints to periphery, which may degrade sensing margin, latency, and array efficiency. With device characteristics and array parasitics extracted from TCAD, SPICE simulations are performed with peri logic in a CMOS-Bonded-Array (CBA). The analysis shows that the bitline strap architecture with amorphous oxide semiconductor (AOS) selectors is essential to manage routing congestion and parasitics. The optimized design achieves a bit density of 2.6 Gb/mm^2 (137 layers with Si access transistors or 87 layers with AOS), representing ~6x density scaling over D1b 2D DRAM. The design further demonstrates a nominal row cycle time (tRC) of 10.5 ns, compared to 21.3 ns in D1b, and a 60% reduction in read/write energy.

cs.AR

CMOS+X: Stacking Persistent Embedded Memories based on Oxide Transistors upon GPGPU Platforms

In contemporary general-purpose graphics processing units (GPGPUs), the continued increase in raw arithmetic throughput is constrained by the capabilities of the register file (single-cycle) and last-level cache (high bandwidth), which require the delivery of operands at a cadence demanded by wide single-instruction multiple-data (SIMD) lanes. Enhancing the capacity, density, or bandwidth of these memories can unlock substantial performance gains; however, the recent stagnation of SRAM bit-cell scaling leads to inequivalent losses in compute density. To address the challenges posed by SRAM's scaling and leakage power consumption, this paper explores the potential CMOS+X integration of amorphous oxide semiconductor (AOS) transistors in capacitive, persistent memory topologies (e.g., 1T1C eDRAM, 2T0C/3T0C Gain Cell) as alternative cells in multi-ported and high-bandwidth banked GPGPU memories. A detailed study of the density and energy tradeoffs of back-end-of-line (BEOL) integrated memories utilizing monolithic 3D (M3D)-integrated multiplexed arrays is conducted, while accounting for the macro-level limitations of integrating AOS candidate structures proposed by the device community (an aspect often overlooked in prior work). By exploiting the short lifetime of register operands, we propose a multi-ported AOS gain-cell capable of delivering 3x the read ports in ~76% of the footprint of SRAM with over 70% lower standby power, enabling enhancements to compute capacity, such as larger warp sizes or processor counts. Benchmarks run on a validated NVIDIA Ampere-class GPU model, using a modified version of Accel-Sim, demonstrate improvements of up to 5.2x the performance per watt and an average 8% higher geometric mean instruction per cycle (IPC) on various compute- and memory-bound tasks.

cs.ET