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A 28-nm FeFET Compute-in-Memory Macro With 64×64 Array Size and On-Chip 4-Bit Flash ADC 具有64×64阵列大小和片上4位闪存ADC的28纳米ffet内存宏计算
IF 2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2025-12-03 DOI: 10.1109/LSSC.2025.3640522
Vaidehi Garg;Jianwei Jia;Omkar Phadke;Shimeng Yu
Compute-in-memory (CIM) using emerging nonvolatile memory devices is a promising candidate for energy-efficient deep neural network (DNN) inference at the edge. Ferroelectric field-effect transistors (FeFETs) have recently gained attention as nonvolatile, CMOS-compatible devices with a higher on/off ratio and lower read and write energy compared to resistive random-access memory (RRAM). This work demonstrates a 4-kb FeFET-CIM macro fabricated in the GlobalFoundries 28-nm high-k metal gate (HKMG) process. The macro consists of a $64times 64$ FeFET array with peripheral circuits for program, erase, and current-mode CIM operations and eight 4-bit Flash ADCs to quantize the analog partial sums. The proposed design achieves an energy efficiency of 346.6 TOPS/W for $1times 1$ b MAC, an inference accuracy of 85.2% for 16 row parallel compute with 4-bit ADC resolution, and 89.1% with 8 row parallel compute with 3-bit resolution, compared to a software baseline of 89.7% on the VGG-8 model for CIFAR-10.
使用新兴的非易失性存储器件的内存计算(CIM)是边缘高效节能深度神经网络(DNN)推理的一个有前途的候选者。与电阻式随机存取存储器(RRAM)相比,铁电场效应晶体管(fefet)作为一种非易失性、cmos兼容的器件,具有更高的开/关比和更低的读写能量,最近引起了人们的关注。本研究展示了在GlobalFoundries 28纳米高k金属栅极(HKMG)工艺中制造的4kb FeFET-CIM宏。该宏由一个$64 × 64$ FeFET阵列和用于编程、擦除和电流模式CIM操作的外围电路以及8个用于量化模拟部分和的4位Flash adc组成。所提出的设计在$1 × 1$ b MAC下实现了346.6 TOPS/W的能效,在4位ADC分辨率的16行并行计算中实现了85.2%的推理精度,在3位分辨率的8行并行计算中实现了89.1%的推理精度,而在用于CIFAR-10的vgg8模型上实现了89.7%的软件基线。
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引用次数: 0
A 500 MS/s Robust 2b/cycle Pipelined-SAR ADC Achieving 64.6-dB SNDR and 82.6-dB SFDR With Linearity Enhancement Techniques 一种500 MS/s鲁棒2b/周期流水线sar ADC,通过线性增强技术实现64.6 db SNDR和82.6 db SFDR
IF 2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2025-12-02 DOI: 10.1109/LSSC.2025.3639322
Qiang Yu;Zheng Zhu;Lulu Zhang;Qin Huang;Yao Feng;Chao Liang;Biao Hu;Ling Du;Rongbin Yang;Shuangyi Wu;Qiang Li
This letter presents a 14-bit 500-MS/s 3-stage pipelined successive approximation register (SAR) analog-to-digital converter (ADC). By exploiting robust 2b/cycle SAR ADCs, this ADC incorporates significant voltage and time redundancy. High SFDR is achieved through several linearity enhancement techniques. First, a DAC splitting technique addresses the common-mode voltage matching problem between the input buffer and the sampling circuit. Second, a reference charge neutralization minimizes reference ripple. Finally, a digital harmonic correction is realized with a low-cost and low-latency LUT. Fabricated in a 28-nm CMOS process, the prototype ADC achieves 64.6-dB SNDR and 82.6-dB SFDR at Nyquist.
这封信提出了一个14位500毫秒/秒3级流水线逐次逼近寄存器(SAR)模数转换器(ADC)。通过利用强大的2b/周期SAR ADC,该ADC具有显著的电压和时间冗余。高SFDR是通过几种线性增强技术实现的。首先,DAC分裂技术解决了输入缓冲器和采样电路之间的共模电压匹配问题。其次,参考电荷中和使参考纹波最小化。最后,利用低成本、低延迟的LUT实现了数字谐波校正。原型ADC采用28纳米CMOS工艺制造,在Nyquist实现了64.6 db SNDR和82.6 db SFDR。
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引用次数: 0
A 28-nm Digital Compute-in-Memory Ising Annealer With Asynchronous Random Number Generator for Traveling Salesman Problem 基于异步随机数生成器的28纳米内存计算退火算法研究旅行商问题
IF 2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2025-12-01 DOI: 10.1109/LSSC.2025.3639178
Yuyao Kong;Haomei Liu;Vaidehi Garg;Shimeng Yu
This work presents a compact digital compute-in-memory (DCIM) Ising annealer targeting large-scale combinatorial optimization. A centroid-based weight mapping method combined with hierarchical clustering reduces the memory capacity required for traveling salesman problem (TSP) weights, enabling efficient mapping with limited on-chip storage. An asynchronous random number generator (ARNG) based on dual ring oscillator provides high-quality randomness with tunable probability bias while incurring much smaller hardware overhead than conventional linear feedback shift registers (LFSRs). The proposed architecture was fabricated in 28-nm CMOS, integrating a DCIM array and an on-chip asynchronous-clock-based random number generator (ARNG). Measurement results demonstrate annealing on TSP problems up to 3038 cities. Compared to LFSR-based randomness, the ARNG achieves solution quality closer to the software baseline while maintaining compact area. This design highlights a scalable and energy-efficient hardware framework for Ising-based optimization, showing clear advantages in both memory efficiency and random source quality over prior approaches.
本文提出了一种针对大规模组合优化的紧凑型数字内存计算(DCIM) Ising退火机。基于质心的权值映射方法与层次聚类相结合,降低了旅行商问题(TSP)权值映射所需的内存容量,在有限的片上存储空间下实现了有效的权值映射。基于双环振荡器的异步随机数发生器(ARNG)提供高质量的随机性和可调的概率偏差,同时比传统的线性反馈移位寄存器(LFSRs)产生更小的硬件开销。该架构采用28纳米CMOS工艺,集成了DCIM阵列和片上异步时钟随机数发生器(ARNG)。测量结果表明退火对3038个城市TSP问题的影响。与基于lfsr的随机性相比,ARNG在保持紧凑区域的同时实现了更接近软件基线的解决方案质量。该设计突出了基于ising优化的可扩展和节能硬件框架,与之前的方法相比,在内存效率和随机源质量方面都显示出明显的优势。
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引用次数: 0
A 112-Gb/s PAM4 Receiver With a Phase Equalization AFE in 7-nm FinFET 带相位均衡AFE的7纳米FinFET 112-Gb/s PAM4接收机
IF 2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2025-11-28 DOI: 10.1109/LSSC.2025.3637833
Huanan Guo;Yufeng Yao;Xiang Gao
To reduce the bit-error-rate (BER), equalizers are implemented in high-speed SerDes receivers (RX) to compensate for channel insertion loss and mitigate intersymbol interference (ISI). Conventional analog front-end (AFE) designs primarily focus on amplitude gain while neglecting the influence of phase shift. This brief presents a phase equalization (PEQ) AFE design in a 7-nm FinFET 112 Gb/s DSP-based RX, which reduces the nonlinear phase shift within the Nyquist frequency $(f_{mathrm { nyq}})$ . The proposed PEQ compensates for the phase distortion and helps to achieve a pre-DSP eye opening of 0.17 UI and 47 mV over a 20.7 dB loss channel. The total RX demonstrates a BER less than 3e-7 with 1-tap DFE and 18-tap FFE over a 42.4 dB loss channel, achieving a power efficiency of 2.18 pJ/bit excluding the DSP power.
为了降低误码率(BER),在高速SerDes接收机(RX)中实现了均衡器来补偿信道插入损耗和减轻码间干扰(ISI)。传统的模拟前端(AFE)设计主要关注幅度增益,而忽略了相移的影响。本文介绍了一种基于7nm FinFET 112gb /s dsp的相位均衡(PEQ) AFE设计,该设计减少了Nyquist频率$(f_{ mathm {nyq}})$内的非线性相移。所提出的PEQ补偿了相位失真,并有助于在20.7 dB损耗通道上实现0.17 UI和47 mV的预dsp开放。总RX显示,在42.4 dB损耗通道上,1分路DFE和18分路FFE的误码率小于3e-7,不包括DSP功率,功率效率为2.18 pJ/bit。
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引用次数: 0
A High-Speed D-FF and a 11-Bit Up-Down Counter Using Unipolar Oxide TFTs on a Flexible Foil 在柔性箔上使用单极氧化物tft的高速D-FF和11位上下计数器
IF 2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2025-11-21 DOI: 10.1109/LSSC.2025.3636192
Suyash Shrivastava;Pydi Ganga Bahubalindruni
This manuscript presents an experimental characterization of a novel high speed D flip-flop (D-FF). The circuit was fabricated on a $27mu $ m thick flexible polyimide substrate using a nMOS only, single gate amorphous Indium-Gallium-Zinc-Oxide (a-IGZO) thin-film transistor (TFT) technology. Reliable response of the D-FF was noticed from measurements up to a clock and an input signal frequency of $20{mathrm {,}}$ MHz and $2{mathrm {,}}$ MHz, respectively. Further, with an output voltage swing of 60%, D-FF functionality was observed up to clock and input signal frequencies of $25{mathrm {,}}$ MHz and $3{mathrm {,}}$ MHz, respectively. This circuit has shown a power dissipation of $140{mathrm {,}} mu $ W including buffers and the figure-of-merit (FOM) of $142{mathrm {,}}$ MHz/mW, which is almost a 52% improvement compared to the state-of-the-art. In addition, this D-FF is employed in the implementation of an 11-bit up/down (U/D) counter. The U/D counter has shown a reliable operation up to an operating frequency of $8{mathrm {,}}$ MHz with a power consumption of $4.8{mathrm {,}}$ mW. Both circuits were characterized at a low supply voltage of $3{mathrm {,}}$ V, occupying an active area of $0.144{mathrm {,}}$ mm2 and $4.32{mathrm {,}}$ mm2, respectively. These circuits would find potential application in biomedical wearable devices.
本文介绍了一种新型高速D触发器(D- ff)的实验表征。该电路采用单栅极非晶铟镓锌氧化物(a- igzo)薄膜晶体管(TFT)技术,在27 μ m厚的柔性聚酰亚胺衬底上制造。从测量到时钟和输入信号频率分别为$20{mathrm {,}}$ MHz和$2{mathrm {,}}$ MHz时,D-FF具有可靠的响应。此外,在输出电压摆幅为60%的情况下,在时钟和输入信号频率分别为$25{mathrm {,}}$ MHz和$3{mathrm {,}}$ MHz时,观察到D-FF功能。该电路的功耗为$140{ mathm {,}} mu $ W(包括缓冲器),性能因数(FOM)为$142{ mathm {,}}$ MHz/mW,与最先进的电路相比,几乎提高了52%。此外,该D- ff用于实现11位上行/下行(U/D)计数器。U/D计数器显示出可靠的工作频率为$8{ mathm {,}}$ MHz,功耗为$4.8{ mathm {,}}$ mW。两个电路的特点是在$3{ mathm {,}}$ V的低电源电压下,分别占据$0.144{ mathm {,}}$ mm2和$4.32{ mathm {,}}$ mm2的有效面积。这些电路将在生物医学可穿戴设备中找到潜在的应用。
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引用次数: 0
Advancing On-Cell Near-Field Monitoring for Thermal Runaway Detection in EV Batteries 电池内近场监测技术在电动汽车电池热失控检测中的应用
IF 2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2025-11-18 DOI: 10.1109/LSSC.2025.3634340
Simon Foster;Scott Block;Daniel McMitchell;Edgar Colin-Beltran;Robert Dailey
A cell monitoring system for performance and safety enhancement is presented. It is the first commercially available single-chip-on-cell near-field contactless solution for automotive battery management, simplifying pack interconnect and reducing points of failure. This letter is a companion paper to the earlier ISSCC paper. It provides further details on the benefits of this architecture, including earlier thermal runaway detection capabilities. It also presents further data on the robustness of the near-field communication link in the presence of common and differential mode interference.
提出了一种提高性能和安全性的小区监测系统。这是第一个用于汽车电池管理的商用单芯片近场非接触式解决方案,简化了电池组互连并减少了故障点。这封信是早期ISSCC论文的配套论文。它进一步详细介绍了这种体系结构的优点,包括早期的热失控检测能力。它还提供了在共模和差模干扰存在下的近场通信链路的鲁棒性的进一步数据。
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引用次数: 0
A 37.8 Mb/mm² SRAM in Intel 18A Technology Featuring a Resistive Supply-Line Write Scheme and Write-Assist With Parallel Boost Injection 采用英特尔18A技术的37.8 Mb/mm²SRAM,具有电阻供电线路写入方案和并行升压注入的写入辅助
IF 2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2025-11-03 DOI: 10.1109/LSSC.2025.3628176
Harold Pilo;Manish Arora;Chien-An Lai;Mike Lee;Zack Lo;Mayur Randeria
A high-density (HD), SRAM-based register file (RF) has been demonstrated in Intel 18A Technology (Wang et al., 2025 and Pilo et al., 2025) featuring RibbonFET GAA transistors and a back side power delivery network (BSDPN). The RF is optimized for HD and array efficiency and achieves a density of 37.8 Mb/mm2, the highest density reported to date for an RF in the most advanced technology nodes (Wang et al., 2025, Chang et al., 2025, and Pilo et al., 2025). It is implemented with a conventional bitline (BL), two-bank memory architecture and it can be used as the SRAM workhorse for most SoC applications with maximum bit-count of 262Kb.
在Intel 18A Technology (Wang et al., 2025 and Pilo et al., 2025)中已经演示了一种高密度(HD)、基于sram的寄存器文件(RF),该文件具有带状场效应晶体管GAA晶体管和背面供电网络(BSDPN)。该射频针对高清和阵列效率进行了优化,密度达到37.8 Mb/mm2,这是迄今为止报道的最先进技术节点射频的最高密度(Wang et al., 2025; Chang et al., 2025; Pilo et al., 2025)。它采用传统的位线(BL)、双银行存储器架构,可以作为SRAM的主力,用于大多数SoC应用,最大比特数为262Kb。
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引用次数: 0
A 0.8-μm 32-Mpixel Always-On CMOS Image Sensor With Windmill-Pattern Edge Extraction and On-Chip DNN 基于风车模式边缘提取和片上深度神经网络的0.8 μm 32万像素CMOS图像传感器
IF 2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2025-11-03 DOI: 10.1109/LSSC.2025.3628314
Mamoru Sato;Sachio Akebono;Kazuyoshi Yasuoka;Eriko Kato;Masahiro Tsuruta;Chiaki Takano;Kensuke Ota;Kazuki Haraguchi;Masahiro Watanabe;Genki Fujii;Koichiro Yamanaka;Kazunori Yasuda;Satoshi Minami;Katsuhiko Hanzawa;Kohei Matsuda;Akihiko Kato;Yosuke Ueno
This letter presents a CMOS image sensor (CIS) that integrates two operation modes: 1) a high-resolution viewing mode with $0.8~mu $ m 32 Mpixels and 2) a low-power always-on object recognition mode consuming 2.67 mW at 10 frames/s. The CIS features a unique windmill-pattern analog edge extraction circuit that is resilient to illumination variations. An on-chip deep neural network processor was implemented alongside a compact algorithm with only 12 kB for coefficients and 48 kB for working memory. The design incorporates separate circuit areas for high-speed viewing and low-power sensing modes, thereby ensuring optimal performance and energy efficiency.
本文介绍了一种集成了两种工作模式的CMOS图像传感器(CIS): 1)高分辨率观看模式,像素为0.8~ 3.2 m; 2)低功耗始终在线的目标识别模式,以10帧/秒的速度消耗2.67 mW。CIS具有独特的风车模式模拟边缘提取电路,可适应光照变化。片上深度神经网络处理器与紧凑的算法一起实现,系数只有12 kB,工作内存只有48 kB。该设计结合了独立的电路区域,用于高速观看和低功耗传感模式,从而确保了最佳性能和能源效率。
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引用次数: 0
A 560 μ W, 6 fA/√Hz, 146 dB-DR Ultrasensitive Current Readout Circuit for PWM-Dimming-Tolerant Under-Display Ambient Light Sensors 一种560 μ W、6 fA/√Hz、146 dB-DR的pwm耐调光显示环境光传感器超灵敏电流读出电路
IF 2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2025-10-30 DOI: 10.1109/LSSC.2025.3626378
Xiuzhi Zhao;Liheng Liu;Shi Chen;Tianxiang Qu;Qinjing Pan;Dan Li;Gan Guo;Zhiliang Hong;Jiawei Xu
This letter presents an ultralow-noise, power-efficient, and pulse-width modulation (PWM)-dimming-tolerant photocurrent readout circuit for under-display ambient light sensor (ALS). A transimpedance amplifier (TIA) with a feedback diode achieves G $Omega $ -level resistance and 6 fA/ $surd $ Hz input current noise, enabling sub-pA resolution. Instability and noise folding are mitigated at low power through a signal-dependent auto-tracking zero for frequency compensation and a low-pass filter for high-frequency noise suppression. A 2-point calibration algorithm improves the linearity of the current-to-frequency (I2F) quantizer without incurring additional power. To extract ambient light in the presence of PWM dimming interference, the readout supports under-sampling, allowing digital cancellation of interference. Fabricated in 180 nm CMOS, the prototype achieves $0.36~rm pA_{pp}$ resolution, 146.3 dB dynamic range (DR), and a 206.3 dB $rm FoM_{DR}$ in 0.84 ms readout time, representing best-in-class performance. Optical ALS measurements under PWM dimming interference are experimentally validated.
本文介绍了一种用于显示下环境光传感器(ALS)的超低噪声、节能和脉宽调制(PWM)容光的光电流读出电路。带反馈二极管的跨阻放大器(TIA)可实现G $Omega $级电阻和6 fA/ $ $ surd $ Hz输入电流噪声,从而实现sub-pA分辨率。在低功率下,通过信号相关的自动跟踪零频率补偿和低通滤波器的高频噪声抑制来减轻不稳定性和噪声折叠。两点校准算法提高了电流-频率(I2F)量化器的线性度,而不会产生额外的功率。为了在存在PWM调光干扰的情况下提取环境光,读数支持欠采样,允许数字消除干扰。该原型机采用180 nm CMOS制造,在0.84 ms的读出时间内实现了0.36~rm pA_{pp}$分辨率,146.3 dB动态范围(DR)和206.3 dB $rm FoM_{DR}$,具有同类最佳性能。实验验证了PWM调光干扰下的光学ALS测量结果。
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引用次数: 0
PANNA: A 558 TOPS/W Pipelined All-Analog Neural Network Accelerator in 22 nm FD-SOI PANNA:一个558 TOPS/W流水线全模拟神经网络加速器在22纳米FD-SOI
IF 2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2025-10-30 DOI: 10.1109/LSSC.2025.3627274
Jakob Finkbeiner;Raphael Nägele;Manuel Wittlinger;Markus Grözing;Manfred Berroth;Georg Rademacher
Analog computing offers intrinsic energy and latency benefits that makes it attractive for real-time and edge applications. Conventional analog accelerators suffer from repeated conversions between analog and digital domain, which degrades efficiency and throughput. We propose an all-analog pipelined neural network accelerator architecture in 22 nm fully-depleted silicon-on-insulator (FD-SOI) complementary metal-oxide-semiconductor (CMOS). Measurements of a demonstrator ASIC with analog I/Os and 6 bit weights are presented. The system energy efficiency is 290 TOPS/W or 558 TOPS/W if the energy for bias generation is neglected. The pipelined architecture achieves a throughput of 500M inferences/s and a latency of 1 ns/layer.
模拟计算提供了内在的能量和延迟优势,使其对实时和边缘应用程序具有吸引力。传统的模拟加速器在模拟域和数字域之间反复转换,降低了效率和吞吐量。我们提出了一个全模拟流水线神经网络加速器架构在22纳米完全耗尽绝缘体上硅(FD-SOI)互补金属氧化物半导体(CMOS)。介绍了一个具有模拟I/ o和6位权重的演示ASIC的测量。如果忽略偏压产生的能量,系统的能量效率为290 TOPS/W或558 TOPS/W。流水线架构实现了500个推理/s的吞吐量和1 ns/层的延迟。
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引用次数: 0
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IEEE Solid-State Circuits Letters
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