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In-depth Survey of Processing-in-memory Architectures for Deep Neural Networks 深度神经网络内存处理体系结构的深入研究
4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-31 DOI: 10.5573/jsts.2023.23.5.322
Ji-Hoon Jang, Jin Shin, Jun-Tae Park, In-Seong Hwang, Hyun Kim
Processing-in-Memory (PIM) is an emerging computing architecture that has gained significant attention in recent times. It aims to maximize data movement efficiency by moving away from the traditional von Neumann architecture. PIM is particularly well-suited for handling deep neural networks (DNNs) that require significant data movement between the processing unit and the memory device. As a result, there has been substantial research in this area. To optimally handle DNNs with diverse structures and inductive biases, such as convolutional neural networks, graph convolutional networks, recurrent neural networks, and transformers, within a PIM architecture, careful consideration should be given to how data mapping and data flow are processed in PIM. This paper aims to provide insight into these aspects by analyzing the characteristics of various DNNs and providing detailed explanations of how they have been implemented with PIM architectures using commercially available memory technologies like DRAM and next-generation memory technologies like ReRAM.
内存中处理(PIM)是一种新兴的计算体系结构,近年来得到了极大的关注。它旨在通过摆脱传统的冯·诺伊曼架构来最大化数据移动效率。PIM特别适合处理需要在处理单元和存储设备之间进行大量数据移动的深度神经网络(dnn)。因此,在这一领域进行了大量的研究。为了在PIM架构中最优地处理具有不同结构和归纳偏差的dnn,例如卷积神经网络、图卷积网络、循环神经网络和变压器,应该仔细考虑PIM中如何处理数据映射和数据流。本文旨在通过分析各种深度神经网络的特征,并详细解释如何使用商用内存技术(如DRAM)和下一代内存技术(如ReRAM)在PIM架构中实现它们,从而深入了解这些方面。
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引用次数: 0
Security Problems of Latest FPGAs and Reverse Engineering Methods of Xilinx 7-series FPGAs 最新fpga的安全问题及Xilinx 7系列fpga的逆向工程方法
4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-31 DOI: 10.5573/jsts.2023.23.5.283
Dongchan Lee, Sanghyun Lee, Mannhee Cho, Hyung-Min Lee, Youngmin Kim
Field programmable gate arrays (FPGA) are commonly used in modern electronic applications, such as home appliances, automobiles, aerospace applications, and Internet of Things (IoT). However, security research is still insufficient compared to the rapidly developing design using FPGA. Attackers frequently attempt to hack into the vulnerable security of FPGA and introduce malicious codes, such as trojan. To defend against these attacks, it is necessary to determine the structure of FPGA accurately and study hackers
现场可编程门阵列(FPGA)通常用于现代电子应用,如家用电器、汽车、航空航天应用和物联网(IoT)。然而,与快速发展的FPGA设计相比,安全性研究仍然不足。攻击者经常试图入侵FPGA的安全漏洞,并引入恶意代码,如木马。为了防御这些攻击,有必要准确地确定FPGA的结构并对黑客进行研究
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引用次数: 0
Empirical Analysis of Disaggregated Cloud Memory on Memory Intensive Applications 分类云内存在内存密集型应用中的实证分析
4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-31 DOI: 10.5573/jsts.2023.23.5.273
Yeonwoo Jeong, Gyeonghwan Jung, Kyuli Park, Youngjae Kim, Sungyong Park
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引用次数: 0
A 20-Gb/s PAM-4 Receiver with Dual-mode Threshold Voltage Adaptation using a Time-based LSB Decoder 基于时基LSB解码器的20 gb /s双模阈值电压自适应PAM-4接收机
4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-31 DOI: 10.5573/jsts.2023.23.5.303
Jeong-Mi Park, Jin-Ku Kang
This paper presents a pulse amplitude modulation-4 (PAM-4) receiver with dual-mode threshold voltage applied to a time-based LSB decoder. The proposed receiver can select the threshold voltage that improves the robustness to sampler voltage variations. It also presents a random data-based threshold voltage adaptation using a single error sampler. Compared to the conventional PAM-4 threshold voltage adaptation that finds four data levels, this method finds only two levels, which reduces the overall power consumption, hardware complexity and adaptation time. The 20-Gb/s PAM-4 serial link was designed in a 65 nm CMOS Technology and analyzed with XMODEL and Cadence Design System
本文提出了一种脉冲幅度调制-4 (PAM-4)接收机,其双模阈值电压应用于基于时间的LSB解码器。该接收机可以选择阈值电压,提高对采样器电压变化的鲁棒性。提出了一种基于随机数据的阈值电压自适应方法。与传统PAM-4阈值电压自适应需要查找4个数据电平相比,该方法只查找2个电平,降低了总体功耗、硬件复杂度和自适应时间。采用65 nm CMOS工艺设计了20 gb /s PAM-4串行链路,并利用XMODEL和Cadence Design System进行了分析
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引用次数: 0
Resistive Hydrogen Detection Sensors based on 2 Dimensions – Molybdenum Disulfide Decorated by Palladium Nanoparticles 基于二维钯纳米粒子修饰二硫化钼的电阻式氢探测传感器
4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-31 DOI: 10.5573/jsts.2023.23.5.258
DongJun Jang, U-Jin Cho, Youhyeong Jeon, TaeYong Lee, RyangHa Kim, Younglae Kim, Min-Woo Kwon
This research presents a resistive-type hydrogen (HSUB2/SUB) gas sensor based on a composite of palladium nanoparticles (Pd-NP) decorated on 2Dmolybdenum disulfide (MoS2) layer. The sensor fabrication involves synthesizing MoSSUB2/SUB and coating Pd by DC sputtering technique. MoS2 has been adopted for its high selectivity for H2, wide operating temperature range, reliability, and low power consumption. Pd has high catalytic properties for HSUB2/SUB and performs a HSUB2/SUB adsorption mechanism through resistance transition. In this study, we propose a Pddecorated MoS2 structure and introduce the chemical resistance mechanism within the channel. The limit of detection (LOD), sensitivity and response time of the fabricated HSUB2/SUB gas sensors are optimized and analyzed. Finally, the nanocomposites network based HSUB2/SUB sensor can promote the utilization of various industries and discuss the issues in sensor applications.
提出了一种基于二硫化钼(MoS2)表面修饰钯纳米粒子(Pd-NP)复合材料的阻式氢(HSUB2/SUB)气体传感器。传感器的制作包括合成MoSSUB2/SUB和用直流溅射技术涂覆Pd。MoS2因其对H2的选择性高、工作温度范围宽、可靠性高、功耗低而被采用。Pd对HSUB2/SUB具有较高的催化性能,并通过抗性转变实现HSUB2/SUB的吸附机制。在这项研究中,我们提出了一种pd2修饰的MoS2结构,并介绍了通道内的耐化学性机制。对制备的HSUB2/SUB气体传感器的检测限(LOD)、灵敏度和响应时间进行了优化分析。最后,基于纳米复合材料网络的HSUB2/SUB传感器可以促进各行业的应用,并讨论传感器应用中的问题。
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引用次数: 0
Charge Trap Flash structure with Feedback Field Effect Transistor for Processing in Memory 带反馈场效应晶体管的电荷阱闪光结构在存储器中的处理
4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-31 DOI: 10.5573/jsts.2023.23.5.295
Junhyeong Lee, Misun Cha, Min-Woo Kwon
Recently, a memory wall has become a concern due to the increasing distance between memory and CPU in the von Neumann structure. While the CPU and logic devices operate quickly, their speed becomes irrelevant due to the slow data transfer between them. Consequently, addressing the data delay problem between the CPU and the logic elements is crucial. To tackle this issue, researchers have been exploring the Processing in Memory (PIM) technology, which enables simultaneous memory and computation. However, traditional volatile or nonvolatile memory-based PIM approaches have inherent limitations in overcoming the memory wall problem, as memory and computation are performed sequentially on separate devices. Therefore, there is a need to develop a new memory-logic device capable of performing read and operation simultaneously. In this paper, we propose a Feedback Field Effect Transistor (FBFET) with a charge trap layer that can fulfill both memory and computational roles, thus implementing an ideal Processing in Memory technology. The device features an oxide-nitride-oxide structure, where nitride is coupled to the oxide side of the FBFET. It accumulates electric charges in the floating body for memory operations and reads the data stored in the charge trap layer for logic operations. By selecting the control gate bias, the computing operation can be configured to perform AND or OR operations. This enables simultaneous memory and logical operations to take place.
最近,由于在冯·诺依曼结构中存储器和CPU之间的距离越来越大,存储器墙成为人们关注的问题。虽然CPU和逻辑设备运行速度很快,但由于它们之间的数据传输缓慢,它们的速度变得无关紧要。因此,解决CPU和逻辑元件之间的数据延迟问题至关重要。为了解决这个问题,研究人员一直在探索内存处理(PIM)技术,该技术可以同时存储和计算。然而,传统的基于易失性或非易失性存储器的PIM方法在克服内存墙问题方面具有固有的局限性,因为内存和计算是在单独的设备上顺序执行的。因此,有必要开发一种能够同时进行读取和操作的新型存储逻辑器件。在本文中,我们提出了一种带有电荷陷阱层的反馈场效应晶体管(FBFET),它可以同时满足存储和计算的角色,从而实现了理想的内存处理技术。该器件具有氧化物-氮化物-氧化物结构,其中氮化物耦合到FBFET的氧化物侧。它在浮体中积累电荷进行存储操作,并读取存储在电荷阱层中的数据进行逻辑操作。通过选择控制门偏置,计算操作可以配置为执行与或操作。这使得内存和逻辑操作可以同时进行。
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引用次数: 0
A 97.7-dB DR 12.3-μW 1-kHz Bandwidth 2<SUP>nd</SUP> Order Delta-sigma Modulator with a Fully Differential Class-AB Op-Amp using Floating Class-AB Control 97.7 db DR 12.3 μ w 1 khz带宽2&lt;SUP&gt; and &lt;/SUP&gt;阶Delta-sigma调制器,带全差分ab类运算放大器,采用浮动ab类控制
4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-31 DOI: 10.5573/jsts.2023.23.5.265
Byeong-Ho Yu, Jun-Ho Boo, Jae-Geun Lim, Hyoung-Jung Kim, Jae-Hyuk Lee, Gil-Cho Ahn
This paper presents a 2SUPnd/SUP order modified feed-forward (FF) delta-sigma modulator. To reduce power consumption, the proposed analog-to-digital converter (ADC) adopts a class-AB op-amp for the first integrator since it shows an enhanced slew rate with low quiescent current. In addition, a 4-bit asynchronous successive approximation register (SAR) ADC which exhibits low power consumption is employed as a quantizer. A delay is incorporated into the feedback path for stable operation of the feedback loop. The prototype ADC is fabricated in a 28 nm CMOS process, and the core area is 0.095 mm2. It consumes 12.3 μW from 0.8 V (Analog)/0.85 V (Digital) supply voltages at an operating clock frequency of 512 kHz with an oversampling ratio (OSR) of 256. It achieves a dynamic range (DR) of 97.7 dB and a peak signal-to-noise and distortion ratio (SNDR) of 94.8 dB, corresponding to a Schreier figure-of-merit (FoM) of 176.8 dB.
提出了一种2supd /SUP阶数修正前馈(FF) delta-sigma调制器。为了降低功耗,所提出的模数转换器(ADC)采用ab类运放作为第一积分器,因为它具有低静态电流的增强摆率。此外,采用低功耗的4位异步连续逼近寄存器(SAR) ADC作为量化器。为了保证反馈回路的稳定运行,在反馈路径中加入了延迟。原型ADC采用28 nm CMOS工艺制作,核心面积为0.095 mm2。在工作时钟频率为512 kHz时,0.8 V(模拟)/0.85 V(数字)电源电压消耗12.3 μW,过采样比(OSR)为256。它的动态范围(DR)为97.7 dB,峰值信噪比和失真比(SNDR)为94.8 dB,对应于176.8 dB的Schreier品质图(FoM)。
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引用次数: 0
A Low-power Incremental Delta-sigma ADC with Adaptive Biasing for CMOS Image Sensors 用于CMOS图像传感器的低功耗增量Delta-sigma自适应偏置ADC
4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-31 DOI: 10.5573/jsts.2023.23.5.314
Dong-Hwan Seo, Jung-Gyun Kim, Byung-Geun Lee
This paper presents the design and fabrication of a low-power incremental delta-sigma analog-to-digital converter (ADC) with an adaptive bias technique suitable for complimentary metaloxide semiconductor (CMOS) image sensors (CISs). The adaptive biasing circuitry provides the amplifier with a predicted minimum current value required for the integrator output to settle; this optimized current flows through the amplifier and reduces power consumption by 40%. A prototype ADC fabricated using a 0.18 μm CMOS process, achieves an SNDR of 65 dB at a sampling frequency of 25 MHz and consumes 13.5 μW from a 1.8 V power supply. The measured differential and integral nonlinearities are +0.31/-0.42 and +0.62/-0.75 at a 12-bit accuracy, respectively.
本文介绍了一种适用于互补金属氧化物半导体(CMOS)图像传感器(CISs)的低功耗增量delta-sigma模数转换器(ADC)的设计和制造。自适应偏置电路为放大器提供积分器输出所需的预测最小电流值;经过优化的电流流经放大器,降低了40%的功耗。采用0.18 μm CMOS工艺制作的原型ADC在采样频率为25 MHz时SNDR为65 dB,功耗为13.5 μW,电源电压为1.8 V。在12位精度下,测量到的微分和积分非线性分别为+0.31/-0.42和+0.62/-0.75。
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引用次数: 0
Deep Learning Segmentation Modeling for SiN, SiO<SUB>2</SUB> Film Deposition Process Defect of High Bandwidth Memory 深度学习分割建模的SiN, SiO&lt;SUB&gt;2&lt;/SUB&gt;高带宽存储器薄膜沉积工艺缺陷
4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-31 DOI: 10.5573/jsts.2023.23.5.251
Intae Whoang, Chinkwan Cho, Jin-Hee Hong, Dong-Hee Son, Byung-Yoon Lim, Jin-Pyung Kim, Kijun Bang
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引用次数: 0
Study on the Circuit Performance of Various Interconnect Metal Materials in the Latest Process Nodes 各种互连金属材料在最新工艺节点中的电路性能研究
IF 0.4 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-08-31 DOI: 10.5573/jsts.2023.23.4.215
Moonjeong Choi, Juhwan Park, Seoungyeol Choi, K. Kwon, Yeji Lee, Wonyeong Jang, Jongwook Jeon
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引用次数: 0
期刊
Journal of Semiconductor Technology and Science
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