인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
초록·키워드
Analog in-memory computing (AIMC) offers a promising route to overcome the von Neumann bottleneck, but per-layer analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) remain a major overhead, particularly in vertical 3D structures where converter circuitry is required at each stacked layer. This work proposes a fully analog EqProp framework in which phase-change memory (PCM) devices serve as resistive synapses and Ovonic Threshold Switch (OTS) devices serve as non-linear neurons within a common vertical 3D stack, thereby eliminating layer-wise ADC/DAC interfaces. To validate this concept, vertical 3D PCM and OTS devices were fabricated and electrically characterized. The fabricated PCM demonstrates stable switching with an on/off ratio exceeding two orders of magnitude across all four layers and multilevel conductance modulation suitable for analog weight representation, with drift coefficients consistent with previously reported GST values. The OTS device achieves enhanced subthreshold non-linearity through intentional electroforming while preserving threshold switching. Incorporating the measured device characteristics into a device-aware simulation, XOR experiments confirm the feasibility of the 3D PCM-OTS architecture for the analog EqProp framework. For MNIST classification based on PCM synaptic characteristics, the fabricated PCM ensures sufficient accuracy. Furthermore, inference analysis under multiplicative conductance noise and resistance drift demonstrates that the EqProp framework maintains limited accuracy degradation under PCM synaptic non-idealities. A first-order architectural estimate shows comparable analog-core efficiency and highlights the potential system-level benefit of eliminating intermediate ADC/DAC conversions. Overall, this work suggests that vertical 3D PCM-OTS co-integration combined with the EqProp framework is a promising pathway toward fully analog AIMC without ADC/DAC overhead.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.