Pub Date : 2024-10-28DOI: 10.1109/TNANO.2024.3487223
Nandit Kaushik;B. Srinivasu
In-Memory-Computing (IMC) through memristive architectures has recently gained traction owing to their capacity to perform logic operations within a crossbar, optimizing both area and speed constraints. This paper introduces two approximate serial IMPLY-based subtractor designs, denoted as Serial IMPLY-based Approximate Subtractor Design-1 (SIASD-1), Serial IMPLY-based Approximate Subtractor Design-2 (SIASD-2), with potential applications in image processing and deep neural networks. The proposed designs are implemented in MAGIC topology for comparison, named as Serial MAGIC-based Approximate Subtractor Design-1 (SMASD-1) and Serial MAGIC-based Approximate Subtractor Design-2 (SMASD-2). Moreover, these proposed subtractor designs are extended to design magnitude comparators. IMPLY-based approximate designs improve the overall latency up to 1.67× with energy savings in the range of 17.4% to 40.3% while occupying the same number of memristors for SIASD-1 and an increase of 3 to 5 memristors for SIASD-2, compared to the best existing exact 8-bit serial IMPLY subtractor. SMASD-1 and SMASD-2 improve the latency up to 1.43×, and energy efficiency are up by 77.6% compared to other MAGIC-based exact designs. Additionally, as comparators, the SIASD-1 and SIASD-2 are up to 4.93× faster with energy reduction up to 79.7% compared to their IMPLY-based equivalents. Similarly, the SMASD-1 and SMASD-2 reduce the latency up to 62% with area savings of 77%, compared to MAGIC-based equivalent designs. Furthermore, the proposed subtractor designs undergo analysis in an image processing application called Motion Detection, while the comparators are evaluated in Max Pooling operations. With Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) serving as assessment metrics, the proposed designs consistently demonstrate acceptable PSNR and SSIM values, affirming their suitability for these applications.
{"title":"High-Speed and Area-Efficient Serial IMPLY-Based Approximate Subtractor and Comparator for Image Processing and Neural Networks","authors":"Nandit Kaushik;B. Srinivasu","doi":"10.1109/TNANO.2024.3487223","DOIUrl":"https://doi.org/10.1109/TNANO.2024.3487223","url":null,"abstract":"In-Memory-Computing (IMC) through memristive architectures has recently gained traction owing to their capacity to perform logic operations within a crossbar, optimizing both area and speed constraints. This paper introduces two approximate serial IMPLY-based subtractor designs, denoted as Serial IMPLY-based Approximate Subtractor Design-1 (SIASD-1), Serial IMPLY-based Approximate Subtractor Design-2 (SIASD-2), with potential applications in image processing and deep neural networks. The proposed designs are implemented in MAGIC topology for comparison, named as Serial MAGIC-based Approximate Subtractor Design-1 (SMASD-1) and Serial MAGIC-based Approximate Subtractor Design-2 (SMASD-2). Moreover, these proposed subtractor designs are extended to design magnitude comparators. IMPLY-based approximate designs improve the overall latency up to 1.67× with energy savings in the range of 17.4% to 40.3% while occupying the same number of memristors for SIASD-1 and an increase of 3 to 5 memristors for SIASD-2, compared to the best existing exact 8-bit serial IMPLY subtractor. SMASD-1 and SMASD-2 improve the latency up to 1.43×, and energy efficiency are up by 77.6% compared to other MAGIC-based exact designs. Additionally, as comparators, the SIASD-1 and SIASD-2 are up to 4.93× faster with energy reduction up to 79.7% compared to their IMPLY-based equivalents. Similarly, the SMASD-1 and SMASD-2 reduce the latency up to 62% with area savings of 77%, compared to MAGIC-based equivalent designs. Furthermore, the proposed subtractor designs undergo analysis in an image processing application called Motion Detection, while the comparators are evaluated in Max Pooling operations. With Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) serving as assessment metrics, the proposed designs consistently demonstrate acceptable PSNR and SSIM values, affirming their suitability for these applications.","PeriodicalId":449,"journal":{"name":"IEEE Transactions on Nanotechnology","volume":"23 ","pages":"748-757"},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Current-driven spin-orbit-torque (SOT)-induced device is a promising candidate with nonvolatility, low energy consumption, and ultrafast speed for the next-generation storage and computing technique. However, the requirement of the assistant magnetic field hinders its application. Besides, the switching current density in SOT-induced devices still needs to be further reduced. Here, we prepared devices with stacks of Ta/Pt100-xWx/Co/AlOy/Pt and systematically investigated changes in the switching efficiency with W content. A high damping-like effective field per unit current density ηDL up to 40.57 ± 3.32 (Oe/(106 A/cm2)) was observed in the device with a Pt74W26 layer, which is one order of magnitude higher than that in the typical spin-orbit devices with pure heavy metal layer reported in the previous articles. In addition, field-free switching is observed in devices with a wide range of W content using the competing spin currents generated from the Pt100-xWx layer. Zero-field switching (ZFS) critical current densities of them are less than 1.09 ± 0.05 (107 A/cm2) with the minimum of 1.58 ± 0.13 (106 A/cm2), indicating the highly efficient field-free spin-orbit switching in the PtW system. Our findings pave the way to high-energy-efficiency spin-orbit devices.
{"title":"High-Efficiency Field-Free Spin-Orbit Switching Based on PtW Alloy Layer","authors":"Xiangyu Liu;Xiukai Lan;Zelalem Abebe Bekele;Weihao Li;Shouguo Zhu;Pengwei Dou;Yuanbo Wang;Jingyan Zhang;Shouguo Wang;Kaiyou Wang","doi":"10.1109/TNANO.2023.3313313","DOIUrl":"10.1109/TNANO.2023.3313313","url":null,"abstract":"Current-driven spin-orbit-torque (SOT)-induced device is a promising candidate with nonvolatility, low energy consumption, and ultrafast speed for the next-generation storage and computing technique. However, the requirement of the assistant magnetic field hinders its application. Besides, the switching current density in SOT-induced devices still needs to be further reduced. Here, we prepared devices with stacks of Ta/Pt<sub>100-<italic>x</italic></sub>W<italic><sub>x</sub></italic>/Co/AlO<italic><sub>y</sub></italic>/Pt and systematically investigated changes in the switching efficiency with W content. A high damping-like effective field per unit current density <italic>η</italic><sub>DL</sub> up to 40.57 ± 3.32 (Oe/(10<sup>6</sup> A/cm<sup>2</sup>)) was observed in the device with a Pt<sub>74</sub>W<sub>26</sub> layer, which is one order of magnitude higher than that in the typical spin-orbit devices with pure heavy metal layer reported in the previous articles. In addition, field-free switching is observed in devices with a wide range of W content using the competing spin currents generated from the Pt<sub>100-<italic>x</italic></sub>W<italic><sub>x</sub></italic> layer. Zero-field switching (ZFS) critical current densities of them are less than 1.09 ± 0.05 (10<sup>7</sup> A/cm<sup>2</sup>) with the minimum of 1.58 ± 0.13 (10<sup>6</sup> A/cm<sup>2</sup>), indicating the highly efficient field-free spin-orbit switching in the PtW system. Our findings pave the way to high-energy-efficiency spin-orbit devices.","PeriodicalId":449,"journal":{"name":"IEEE Transactions on Nanotechnology","volume":"22 ","pages":"576-580"},"PeriodicalIF":2.4,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63037759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-07DOI: 10.1109/TNANO.2023.3312819
Amira Ali;Abdelsattar M. Sallam;M. Mohsen;Amal Kasry;Sameh O. Abdellatif
Cardiovascular diseases (CVDs) are the leading cause of death worldwide, killing over 17 million people yearly. A key biomarker for identifying myocardial infarction (MI) is the regulatory protein Cardiovascular Troponin I (cTnI), released into the blood following heart muscle injury. Significant efforts have been made in recent years to develop highly sensitive biosensors for the detection of cTnI. Field effect transistors (FETs) in general and organic FETs (OFETs) in specific have shown computability in detecting such cordial protein. In this study, we provide a complete attempt to fabricate and characterize polyaniline nanofiber (PANI-NFs) OFET for biosensing applications. The FTIR spectrum of PANI-NFs is examined before and after pAbs immobilization. To study the biosensor performance parameters, the biomarker drain current is investigated against the cTnI biomarker concentrations. The proposed OFET recorded high sensitivity of 484 nA.(g/mL) −1