Pub Date : 2024-09-13DOI: 10.1109/JEDS.2024.3459872
Ji Hwan Lee;Kihwan Kim;Kyungjin Rim;Soogine Chong;Hyunbo Cho;Saeroonter Oh
Impact of strain of sub-3 nm gate-all-around (GAA) CMOS transistors on the circuit performance is evaluated using a neural compact model. The model was trained using 3D technology computer-aided design (TCAD) device simulation data of GAA field-effect transistors (FETs) subjected to both tensile and compressive strain in nMOS and pMOS devices. Strain was induced into the channel via lattice mismatch between the channel and source/drain epitaxial regions, as simulated by 3D TCAD process simulator. The transport models were calibrated against advanced Monte Carlo simulations to ensure accuracy. The resulting neural compact model demonstrated a close approximation to the original simulation results, achieving a minimal error of 1%. To assess the strain effect on circuit-level performance, SPICE simulations were conducted for a 5-stage ring oscillator and a 2-input NAND gate using the neural compact model. The propagation delay of the 5-stage ring oscillator improved from 3.60 ps to 2.85 ps when implementing strained GAA FETs. Also, strain enhanced the power-delay product of the 2-input NAND gate by 13.8% to 15.5%, depending on the input voltage sequence.
{"title":"Impact of Strain on Sub-3 nm Gate-All-Around CMOS Logic Circuit Performance Using a Neural Compact Modeling Approach","authors":"Ji Hwan Lee;Kihwan Kim;Kyungjin Rim;Soogine Chong;Hyunbo Cho;Saeroonter Oh","doi":"10.1109/JEDS.2024.3459872","DOIUrl":"10.1109/JEDS.2024.3459872","url":null,"abstract":"Impact of strain of sub-3 nm gate-all-around (GAA) CMOS transistors on the circuit performance is evaluated using a neural compact model. The model was trained using 3D technology computer-aided design (TCAD) device simulation data of GAA field-effect transistors (FETs) subjected to both tensile and compressive strain in nMOS and pMOS devices. Strain was induced into the channel via lattice mismatch between the channel and source/drain epitaxial regions, as simulated by 3D TCAD process simulator. The transport models were calibrated against advanced Monte Carlo simulations to ensure accuracy. The resulting neural compact model demonstrated a close approximation to the original simulation results, achieving a minimal error of 1%. To assess the strain effect on circuit-level performance, SPICE simulations were conducted for a 5-stage ring oscillator and a 2-input NAND gate using the neural compact model. The propagation delay of the 5-stage ring oscillator improved from 3.60 ps to 2.85 ps when implementing strained GAA FETs. Also, strain enhanced the power-delay product of the 2-input NAND gate by 13.8% to 15.5%, depending on the input voltage sequence.","PeriodicalId":13210,"journal":{"name":"IEEE Journal of the Electron Devices Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10680295","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142253411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Computing-In-Memory (CIM) is widely applied in neural networks due to its unique capability to perform multiply-and-accumulate operations within a circuit array. This process directly obtains the current value through the product of voltage and conductance, accumulating it on the bit line, thus realizing storage and computing functionalities simultaneously within a single array. This significantly reduces the power consumption and time delay in data processing. Unfortunately, implementing general-purpose logic computations in large-scale memory arrays with CIM remains a challenge. This paper introduced a novel device concept, the programmable diode—a special type of memristor with a high switching window, ideally suited for memory arrays to reduce power consumption. A compact SPICE model was developed to enable circuit-level simulations in EDA tools. We also proposed a method to efficiently control the programmable diode for logic operations in memory arrays, and in this way, we constructed a parallel 8-bit full adder to verify the feasibility of the proposed method. Finally, based on the 8-bit full adder, we built a 5KB in-memory logic array capable of executing logic computations and simulated it using EDA tools. The simulation results demonstrated that the 5KB in-memory logic array can perform fundamental Boolean logic and arithmetic operations with high repeatability and parallelism, perfectly realizing the functionality of in-memory logic computation. Our work can provide a feasible scheme for realizing large-scale general logic computation systems based on CIM.
{"title":"A Novel Parallel In-Memory Logic Array Based on Programmable Diodes","authors":"Jiabao Ye;Junyu Zhu;Jifang Cao;Haoxiong Bi;Yong Ding;Bing Chen","doi":"10.1109/JEDS.2024.3457021","DOIUrl":"10.1109/JEDS.2024.3457021","url":null,"abstract":"Computing-In-Memory (CIM) is widely applied in neural networks due to its unique capability to perform multiply-and-accumulate operations within a circuit array. This process directly obtains the current value through the product of voltage and conductance, accumulating it on the bit line, thus realizing storage and computing functionalities simultaneously within a single array. This significantly reduces the power consumption and time delay in data processing. Unfortunately, implementing general-purpose logic computations in large-scale memory arrays with CIM remains a challenge. This paper introduced a novel device concept, the programmable diode—a special type of memristor with a high switching window, ideally suited for memory arrays to reduce power consumption. A compact SPICE model was developed to enable circuit-level simulations in EDA tools. We also proposed a method to efficiently control the programmable diode for logic operations in memory arrays, and in this way, we constructed a parallel 8-bit full adder to verify the feasibility of the proposed method. Finally, based on the 8-bit full adder, we built a 5KB in-memory logic array capable of executing logic computations and simulated it using EDA tools. The simulation results demonstrated that the 5KB in-memory logic array can perform fundamental Boolean logic and arithmetic operations with high repeatability and parallelism, perfectly realizing the functionality of in-memory logic computation. Our work can provide a feasible scheme for realizing large-scale general logic computation systems based on CIM.","PeriodicalId":13210,"journal":{"name":"IEEE Journal of the Electron Devices Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10674001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142198876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-06DOI: 10.1109/JEDS.2024.3455256
Boseong Son;Huijin Kim;Young-Woong Lee;Purusottam Reddy Bommireddy;Si-Hyun Park
We developed a monolithically integrated device consisting of a single GaN LED and two p-GaN-depletion MOSFETs on a GaN LED epitaxial layer. The p-GaN-depletion MOSFETs exhibited a subthreshold slope of 1 V/decade and a threshold voltage of –2 V, whereas the LED exhibited a forward voltage of 3.5 V at 1 mA and an electroluminescence peak of 445 nm. The device could be controlled by the scan voltage, with $V_{DD}$