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2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits)最新文献

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−197dBc/Hz FOM 4.3-GHz VCO Using an addressable array of minimum-sized nmos cross-coupled transistor pairs in 65-nm CMOS −197dBc/Hz FOM 4.3 ghz VCO采用65nm CMOS中最小尺寸nmos交叉耦合晶体管对的可寻址阵列
Pub Date : 2016-06-15 DOI: 10.1109/VLSIC.2016.7573540
Amit Jha, A. Ahmadi, S. Kshattry, T. Cao, K. Liao, G. Yeap, Y. Makris, K. O. Kenneth
A 4.3-GHz voltage controlled oscillator (VCO) using an addressable array of cross-coupled minimum size NMOS transistor pairs for post fabrication selection is demonstrated in 65-nm CMOS. An algorithm based on Hamming distance using the phase noise measurements of ~1,500 array combinations was used to identify combinations that have record phase noise of -130dBc/Hz at 1-MHz offset from a 4.3-GHz carrier, while consuming 5.2 mW from a 1-V supply. The operating frequency of circuits using post fabrication selection in its high frequency path is increased to 5 GHz.
采用可寻址的交叉耦合最小尺寸NMOS晶体管对阵列,设计了一种用于65纳米CMOS加工后选择的4.3 ghz压控振荡器(VCO)。采用一种基于汉明距离的算法,利用约1500个阵列组合的相位噪声测量值来识别在4.3 ghz载波1 mhz偏移时相位噪声记录为-130dBc/Hz的组合,同时从1 v电源消耗5.2 mW。采用后加工选择的电路在其高频路径上的工作频率提高到5ghz。
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引用次数: 2
A 0.003 mm2 5.2 mW/tap 20 GBd inductor-less 5-tap analog RX-FFE 一个0.003 mm2 5.2 mW/抽头20gbd无电感5抽头模拟RX-FFE
Pub Date : 2016-06-15 DOI: 10.1109/VLSIC.2016.7573522
Ryan Boesch, Kevin Zheng, B. Murmann
A 0.003 mm2 5.2 mW/tap analog receive-side feedforward equalizer (RX-FFE) is demonstrated in 40 nm CMOS for up to 20 GBd ADC-based links. The FFE is constructed entirely with analog-inverter transconductors and capacitors, avoiding the use of area-intensive inductors. The delay element is implemented as a first-order Padé approximant of an ideal delay. The equalization performance is measured to be sufficient to relax the ADC resolution requirement by 1 bit. The total power consumed is less than 26 mW with less than 9.2 nV/√Hz output noise for all configurations.
一个0.003 mm2 5.2 mW/分接模拟接收端前馈均衡器(RX-FFE)在40 nm CMOS中用于高达20 GBd的基于adc的链路。FFE完全由模拟逆变器电感和电容构成,避免了使用面积密集的电感。该延迟单元被实现为理想延迟的一阶帕德帕尔近似。均衡性能被测量为足以将ADC分辨率要求放宽1位。整机总功耗小于26mw,所有配置输出噪声小于9.2 nV/√Hz。
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引用次数: 11
An oscillator collapse-based comparator with application in a 74.1dB SNDR, 20KS/s 15b SAR ADC 基于振荡器坍缩的比较器,应用于74.1dB SNDR, 20KS/s 15b SAR ADC
Pub Date : 2016-06-15 DOI: 10.1109/VLSIC.2016.7573518
Minseob Shim, Seokhyeon Jeong, Paul D. Myers, S. Bang, Chulwoo Kim, D. Sylvester, D. Blaauw, Wanyeong Jung
This paper presents a new energy-efficient ring oscillator collapse-based comparator, which is demonstrated in a 15-bit SAR ADC. The comparator automatically adjusts comparison energy according to its input difference without any control, eliminating unnecessary energy spent on coarse comparisons. The employed SAR ADC supplements a 10-bit differential main CDAC with a 5-bit common-mode CDAC. This offers an additional 5 bits of resolution with common mode to differential gain tuning that improves linearity by reducing the effect of switch parasitic capacitance. A test chip fabricated in 40nm CMOS shows 74.12 dB SNDR and 173.4 dB FOMs. The comparator consumes 104 nW with the full ADC consuming 1.17 μW.
本文提出了一种基于环振坍缩的新型节能比较器,并在15位SAR ADC上进行了验证。比较器根据输入差值自动调整比较能量,无需任何控制,消除了在粗比较上不必要的能量消耗。所采用的SAR ADC用一个5位共模CDAC补充一个10位差分主CDAC。这为共模差分增益调谐提供了额外的5位分辨率,通过减少开关寄生电容的影响来改善线性度。40nm CMOS测试芯片SNDR为74.12 dB, fom为173.4 dB。比较器功耗104 nW,全ADC功耗1.17 μW。
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引用次数: 13
A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets 用于实时大规模卷积神经网络的0.3-2.6 TOPS/W精度可扩展处理器
Pub Date : 2016-06-15 DOI: 10.1109/VLSIC.2016.7573525
Bert Moons, M. Verhelst
A low-power precision-scalable processor for ConvNets or convolutional neural networks (CNN) is implemented in a 40nm technology. Its 256 parallel processing units achieve a peak 102GOPS running at 204MHz. To minimize energy consumption while maintaining throughput, this works is the first to both exploit the sparsity of convolutions and to implement dynamic precision-scalability enabling supply- and energy scaling. The processor is fully C-programmable, consumes 25-288mW at 204 MHz and scales efficiency from 0.3-2.6 real TOPS/W. This system hereby outperforms the state-of-the-art up to 3.9× in energy efficiency.
采用40nm技术实现了用于卷积神经网络(CNN)的低功耗精密可扩展处理器。它的256个并行处理单元在204MHz时达到102GOPS的峰值。为了最大限度地减少能源消耗,同时保持吞吐量,这是第一个既利用卷积的稀疏性,又实现动态精确可扩展性,从而实现供应和能量缩放。该处理器完全采用c语言编程,在204 MHz时功耗为25-288mW,效率为0.3-2.6实际TOPS/W。该系统在能源效率方面优于最先进的系统,最高可达3.9倍。
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引用次数: 149
A fully-adaptive wideband 0.5–32.75Gb/s FPGA transceiver in 16nm FinFET CMOS technology 采用16nm FinFET CMOS技术的全自适应宽带0.5-32.75Gb /s FPGA收发器
Pub Date : 2016-06-15 DOI: 10.1109/VLSIC.2016.7573471
P. Upadhyaya, Ade Bekele, Didem Turkur Melek, Haibing Zhao, J. Im, Junho Cho, Kee Hian Tan, S. McLeod, S. Chen, Wenfeng Zhang, Y. Frans, Ken Chang
This paper describes the design of a low power fully-adaptive wideband, flexible reach transceiver in 16nm FinFET CMOS embedded within FPGA. The receiver utilizes a 3-stage CTLE with a segmented AGC to minimize parasitic peaking and 15-tap DFE to operate over both short and long channels. The transmitter uses a swing boosted CML driver architecture. Low noise wideband fractional N LC PLLs combined with linear active inductor based phase interpolators and high speed clocking are utilized for low jitter clock generation. The transceiver achieves >1200mVdpp TX swing with <;190 fs RJ and 5.39 ps TJ to achieve BER <; 10-15 over a 30 dB loss backplane at 32.75 Gb/s, while consuming 577 mW.
介绍了一种基于16nm FinFET CMOS的低功耗全自适应宽带柔性远端收发器的设计。接收器采用3级CTLE和分段AGC来最小化寄生峰值和15分接DFE,以在短通道和长通道上运行。发射器使用摆动增强CML驱动程序架构。低噪声宽带分数N LC锁相器结合基于线性有源电感的相位插补器和高速时钟用于低抖动时钟生成。收发器实现了>1200mVdpp的TX摆幅,RJ < 190fs, TJ < 5.39 ps, BER <;在32.75 Gb/s的速度下,在30 dB损耗的背板上进行10-15,同时消耗577mw。
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引用次数: 12
Digital PLL for phase noise cancellation in ring oscillator-based I/Q receivers 用于环形振荡器I/Q接收机相位噪声消除的数字锁相环
Pub Date : 2016-06-15 DOI: 10.1109/VLSIC.2016.7573500
Zuow-Zun Chen, Yilei Li, Yen-Cheng Kuan, B. Hu, C. Wong, Mau-Chung Frank Chang
A digital phase noise cancellation technique for ring oscillator-based I/Q receivers is presented. Ring oscillator phase noise, including supply-induced phase noise, is extracted from digital phase-locked loop (DPLL) and used to restore the randomly rotated baseband signal in digital domain. The receiver prototype fabricated in 65nm CMOS technology achieves phase noise reduction from -88 to -109dBc/Hz at 1MHz offset, and an integrated phase noise (IPN) reduction from -16.8 to -34.6dBc, when operating at 2.4GHz.
提出了一种用于环形振荡器I/Q接收机的数字相位噪声消除技术。从数字锁相环(DPLL)中提取环形振荡器相位噪声,包括电源诱发的相位噪声,用于在数字域恢复随机旋转的基带信号。采用65nm CMOS技术制作的接收器原型在1MHz偏置时实现了相位噪声从-88到-109dBc/Hz的降低,在2.4GHz工作时实现了集成相位噪声(IPN)从-16.8到-34.6dBc的降低。
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引用次数: 8
A 114-pW PMOS-only, trim-free voltage reference with 0.26% within-wafer inaccuracy for nW systems 一个114 pw的pmos,无微调电压基准,圆内误差0.26%,用于nW系统
Pub Date : 2016-06-15 DOI: 10.1109/VLSIC.2016.7573494
Qing Dong, Kaiyuan Yang, D. Blaauw, D. Sylvester
A sub-nW voltage reference is presented that uses only PMOS transistors, thereby providing inherently low process variation and enabling trim-free operation for LDOs and other applications in nW microsystems. Sixty chips from 3 different wafers in 180nm CMOS are measured, showing an untrimmed within-wafer σ/μ of 0.26% and wafer-to-wafer σ/μ of 1.9%. Measurement results also show a temperature coefficient of 48-124ppm/°C from -40°C to 85°C. Outputting a 0.986V reference voltage, the reference operates down to 1.2V and consumes 114pW at 25°C.
提出了一种仅使用PMOS晶体管的亚nW电压基准,从而提供了固有的低工艺变化,并使ldo和nW微系统中的其他应用能够实现无修边操作。测量了来自3个不同晶圆的60个180nm CMOS芯片,晶圆内未修整σ/μ为0.26%,晶圆间σ/μ为1.9%。测量结果还显示温度系数48-124ppm/°C从-40°C到85°C。输出0.986V参考电压,基准工作电压低至1.2V,在25°C时消耗114pW。
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引用次数: 50
A 28.3 Gb/s 7.3 pJ/bit 35 dB backplane transceiver with eye sampling phase adaptation in 28 nm CMOS 一种28.3 Gb/s 7.3 pJ/bit的28 nm CMOS眼采样相位自适应35 dB背板收发器
Pub Date : 2016-06-15 DOI: 10.1109/VLSIC.2016.7573472
H. Miyaoka, Futoshi Terasawa, M. Kudo, H. Kano, A. Matsuda, N. Shirai, S. Kawai, T. Shibasaki, Takumi Danjo, Yuuki Ogata, Yasufumi Sakai, H. Yamaguchi, Toshihiko Mori, Y. Koyanagi, H. Tamura, Yutaka Ide, Kazuhiro Terashima, H. Higashi, Tomokazu Higuchi, N. Naka
28.3 Gb/s transceiver with 35 dB channel loss equalization is presented. The transmitter deploys 3-tap feed forward equalizer (FFE). The driver employs the hybrid architecture of low voltage differential signaling (LVDS) and source-series-terminated (SST) driver which enables the low power consumption and output signal amplitude fine tune. The receiver comprised with continuous time linear equalizer (CTLE) and 2-tap loop unrolled decision feedback equalizer (DFE). It saves the power consumption by not applying DFE at the eye edge, and increases the eye margin with adaptive sampling clock phase adjustment capability. The transceiver is composed of one PLL and four lanes, occupies 1.67 mm2 and consumes 829 mW (7.3 pJ/bit).
提出了一种具有35db信道损耗均衡的28.3 Gb/s收发器。发射机部署3分路前馈均衡器(FFE)。驱动器采用低压差分信号(LVDS)和源串联端接(SST)驱动器的混合架构,实现了低功耗和输出信号幅度微调。该接收机由连续时间线性均衡器(CTLE)和2抽头环展开决策反馈均衡器(DFE)组成。该方法在眼缘处不施加DFE,节省了功耗,并通过自适应采样时钟相位调整能力增加了眼缘。收发器由一个锁相环和四个通道组成,占地1.67 mm2,功耗829 mW (7.3 pJ/bit)。
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引用次数: 3
Enabling future progress in machine-learning 推动机器学习的未来发展
Pub Date : 2016-06-15 DOI: 10.1109/VLSIC.2016.7573457
O. Temam
Amazing progress in machine-learning, largely based on deep neural networks, has started to make applications once considered impossible, such as real-time translation or self-driving cars, a reality. However, even if, on some restricted problems, machine-learning is getting close to human-level performance, we are still far from the capabilities of the human brain. Machine-learning researchers themselves acknowledge that the progress observed in the past 10 years has been largely due to rapid increase in computing performance, allowing to tackle larger neural networks and larger training sets. So the computer systems and circuits communities can play a very significant role in enabling future progress. While GPUs have been a major driver of this recent progress, both the slowing rate of improvement of standard CMOS technology and the need for even faster progress suggest to at least explore alternative approaches. In this talk, we will discuss lessons learned from research on architectures for machine-learning, and that some of the hurdles ahead largely lie at the circuit level, but can possibly be overcome in the near future.
机器学习的惊人进步主要基于深度神经网络,已经开始使曾经被认为不可能的应用,如实时翻译或自动驾驶汽车,成为现实。然而,即使在一些有限的问题上,机器学习正在接近人类水平的表现,我们仍然离人类大脑的能力很远。机器学习研究人员自己也承认,过去10年观察到的进步主要是由于计算性能的快速提高,从而可以处理更大的神经网络和更大的训练集。因此,计算机系统和电路社区可以在实现未来的进步中发挥非常重要的作用。虽然gpu一直是这一最新进展的主要驱动力,但标准CMOS技术的改进速度放缓以及对更快进展的需求都表明,至少要探索替代方法。在本次演讲中,我们将讨论从机器学习架构研究中获得的经验教训,以及未来的一些障碍主要存在于电路层面,但在不久的将来可能会被克服。
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引用次数: 5
A dead-time free global shutter CMOS image sensor with in-pixel LOFIC and ADC using pixel-wis e connections 一种无死区时间的全局快门CMOS图像传感器,具有像素内LOFIC和使用像素无线连接的ADC
Pub Date : 2016-06-15 DOI: 10.1109/VLSIC.2016.7573544
Hidetake Sugo, Shunichi Wakashima, R. Kuroda, Y. Yamashita, H. Sumi, Tzu-Jui Wang, Po-Sheng Chou, Ming-Chieh Hsu, S. Sugawa
An almost 100% temporal aperture (dead-time free) global shutter (GS) stacked CMOS image sensor (CIS) with in-pixel lateral overflow integration capacitor (LOFIC), ADC and DRAM is developed using pixel-wise connections. The prototype chip with 6.6μm-pitch VGA LOFIC pixel dead-time free GS mode and 1.65μm-pitch 4.9M sub-pixel high resolution rolling shutter (RS) mode was fabricated with a 45nm 1P4M CIS technology for PD substrate and a 65nm 1P5M CMOS technology for ASIC substrate.
采用像素级连接,开发了几乎100%时间孔径(无死区)全局快门(GS)堆叠CMOS图像传感器(CIS),具有像素级横向溢出集成电容器(LOFIC)、ADC和DRAM。采用45nm 1P4M CIS技术和65nm 1P5M CMOS技术分别制备了具有6.6μm-pitch VGA LOFIC像素无死区GS模式和1.65μm-pitch 4.9M亚像素高分辨率滚动快门(RS)模式的原型芯片。
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引用次数: 16
期刊
2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits)
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