全部论文

Papers 2008–2026

共 3875 篇 ISSCC 论文,按年份倒序排列

ISSCC 2024 Session 11 Other
AMD InstinctTM MI300 Series Modular Chiplet Package – HPC and AI Accelerator for Exa-Class Systems
Alan Smith1, Eric Chapman1, Chintan Patel1, Raja Swaminathan1, John Wuu2,
MA 1 4 The AMD InstinctTM MI300 Series accelerators were conceptualized to extract maximum HPC and AI capability from the latest silicon and advanced packaging technology, designed to operate as CPU hosted PCIe® device,
ISSCC 2024 Session 10 Clocking & PLLs
An 11GHz 2nd-order DPD FMCW Chirp Generator with 0.051%
rms Frequency Error under a 2.3GHz Chirp Bandwidth,
2.3GHz/μs Slope, and 50ns Idle Time in 65nm CMOS Xuan Wang*1,2, Xujun Ma*3, Yupeng Fu1, Yuqian Zhou1, Ang Li1, Shuo Yang1, Xu Wu1,2, Dongming Wang1,2, Lianming Li1,2, Xiaohu You1,2 Southeast University, Nanjing, China Pu
ISSCC 2024 Session 10 Clocking & PLLs
A 10GHz FMCW Modulator Achieving 680MHz/μs Chirp Slope and 150kHz rms Frequency Error Based on a Digital-PLL with a Non-Uniform Piecewise-Parabolic Digital Predistortion
Francesco Tesolin*1, Simone Mattia Dartizio*1, Giacomo Castoro1,
Andrea Leonardo Lacaita1, Salvatore Levantino1 Politecnico di Milano, Milan, Italy Infineon Technologies, Villach, Austria *Equally Credited Authors (ECAs) 1 2 Improving the spatial resolution and reliability of target de
ISSCC 2024 Session 10 Clocking & PLLs
A 76fsrms-Jitter and −65dBc-Fractional-Spur Fractional-N Sampling PLL Using a Nonlinearity-Replication Technique
Yuhwan Shin*1,2, Junseok Lee*1,2, Juyeop Kim*1,2, Yongwoo Jo1,2, Jaehyouk Choi2
most popular architecture for generating ultralow-jitter signals due to their high-gain sampling phase detectors (SPDs) that can significantly reduce in-band phase noise (PN). However, to maintain this advantage even in t
ISSCC 2024 Session 10 Clocking & PLLs
A 45.5fs-Integrated-Random-Jitter and -75dBc-IntegerBoundary-Spur BiCMOS Fractional-N PLL with Suppression
of Fractional, Horn, and Wandering Spurs
Michael Peter Kennedy1,2, Valerio Mazzaro1,2, Stefano Tulisi3, Micheál Scully3, Niall McDermott3, James Breslin3 University College Dublin, Dublin, Ireland Microelectronic Circuits Centre Ireland, Dublin, Ireland 3 Analo
ISSCC 2024 Session 10 Clocking & PLLs
A 7GHz Digital PLL with Cascaded Fractional Divider and Pseudo-Differential DTC Achieving -62.1dBc Fractional Spur and 143.7fs Integrated Jitter
Dingxin Xu, Zezheng Liu, Yifeng Kuai, Hongye Huang, Yuncheng Zhang,
Zheng Sun, Bangan Liu, Wenqian Wang, Yuang Xiong, Junjun Qiu, Waleed Madany, Yi Zhang, Ashbir Aviat Fadila, Atsushi Shirane, Kenichi Okada Tokyo Institute of Technology, Tokyo, Japan Modern wireless transceivers and FMCW
ISSCC 2024 Session 10 Clocking & PLLs
An 8.75GHz Fractional-N Digital PLL with a Reverse-Concavity Variable-Slope DTC Achieving 57.3fsrms Integrated Jitter and -252.4dB FoM
Michele Rossoni*, Simone Mattia Dartizio*, Francesco Tesolin,
transceivers exploit high-order modulation schemes to increase datarates and call for high-spectral-purity frequency synthesizers. To serve this purpose, a fractional-N PLL that removes the time quantization error betwee
ISSCC 2024 Session 1 Plenary
Fueling Semiconductor Innovation and Entrepreneurship in the Next Decade Lip-Bu Tan
Chairman of Walden International,
Founding Managing partner of Walden Catalyst Ventures, Senior Advisor & former CEO Cadence Design, San Francisco, CA 1. Introduction This paper provides a comprehensive overview of the future of semiconductor technology,
ISSCC 2024 Session 1 Plenary
Computing in the Era of Generative AI Jonah Alben AI Will Transform Your Business An important takeaway from how DLSS reshaped NVIDIA’s core business is that AI should not be viewed solely as a revenue opportunity. Instead, believe that it will fundamentally transform the semiconductor industry – and your business.
Senior Vice President, GPU Engineering, NVIDIA, But, you will need help.
Generative AI has captured the imagination of users across multiple industries, and we’ve only begun to tap the potential of this amazing technology. GenAI applications can synthesize text, computer code, protein sequenc
ISSCC 2024 Session 1 Plenary
Racing Down the Slopes of Moore’s Law Bram Nauta
University of Twente, Enschede, The Netherlands.
Since its inception, Moore’s Law has been the driving force for IC design. Although during the first decade, “everything” seemed to be better, however, we lost the scaling of processor clock speed and RF transistor speed,
ISSCC 2024 Session 1 Plenary
Semiconductor Industry: Present & Future Kevin Zhang Senior Vice President of Business Development & Overseas Operations Office
TSMC, Hsinchu, Taiwan, Abstract
Semiconductors are the foundation of today’s digital economy and powering innovations that will shape the trajectory of human history. This paper highlights the latest progress of the semiconductor industry to support a
ISSCC 2023 Session 9 Industry Highlights
An In-depth Look at the Intel IPU E2000
Naru Sundar*1, Brad Burres*2, Yadong Li*3, Dave Minturn4, Brian Johnson4, Nupur Jain5
Processing Unit (Intel IPU) E2000 is Intel’s first ASIC IPU device, a 200G product co-designed with Google and in production as of 2022. It features a rich packet processing pipeline, RDMA and storage capability includin
ISSCC 2023 Session 9 Industry Highlights
NVLink-C2C: A Coherent Off Package Chip-to-Chip Interconnect with 40Gbps/pin Single-ended Signaling
Ying Wei1, Yi Chieh Huang2, Haiming Tang1, Nithya Sankaran1, Ish Chadha1,
systems, with 900GB/s link between Grace and Hopper, or between two Grace chips. The connection provides a unified, cache-coherent memory address space that combines system and HBM GPU memories for simplified programmabi
ISSCC 2023 Session 9 AI / ML
A 1mW Always-on Computer Vision Deep Learning Neural Decision Processor
David Garrett, Youn Sung Park, Seongjong Kim, Jay Sharma, Wenbin Huang,
Majid Shaghaghi, Vinay Parthasarathy, Stephen Gibellini, Stephen Bailey, Mallik Moturi, Pieter Vorenkamp, Kurt Busch, Jeremy Holleman, Behrooz Javid, Alireza Yousefi, Mohsen Judy, Atul Gupta Syntiant, Irvine, CA Syntiant
ISSCC 2023 Session 9 Industry Highlights
D1: A 7nm ML Training Processor with Wave Clock Distribution
Tim C. Fischer1, Anantha Kumar Nivarti1, Raghuvir Ramachandran1,
Ram Bharti1, Derek Carson1, Anton Lawrendra1, Vineet Mudgal1, Vivek Santhosh1, Sunil Shukla2, Te-Chen Tsai1 Tesla, Palo Alto, CA Tesla, Austin, TX 1 2 D1 is the ML training processor in the DOJO exa-scale computer system
ISSCC 2023 Session 8 mm-Wave
An 83.3-to-104.7GHz Harmonic-Extraction VCO Incorporating
Multi-Resonance, Multi-Core, and Multi-Mode (3M), Techniques Achieving -124dBc/Hz Absolute PN and
190.7dBc/Hz FoMT Hao Guo1, Yong Chen1, Yunbo Huang1, Pui-In Mak1, Rui P. Martins1,2 University of Macau, Macau, China Instituto Superior Tecnico/University of Lisboa, Lisbon, Portugal 1 2 The W-band offers a rich spectru
ISSCC 2023 Session 8 mm-Wave
A 28GHz Scalable Inter-Core-Shaping Multi-Core Oscillator with DM/CM-Configured Coupling Achieving 193.3dBc/Hz FoM and 205.5dBc/Hz FoMA at 1MHz Offset
Yiyang Shu, Zhixian Deng, Xun Luo
The high-order modulation schemes of mm-wave wireless communication networks (e.g., 5GNR) have stringent requirements for the LO phase noise. Besides, to minimize the power consumption of oscillators, a high figure-of-me
ISSCC 2023 Session 8 mm-Wave
A 22.4-to-26.8GHz Dual-Path-Synchronized Quad-Core Oscillator Achieving −138dBc/Hz PN and 193.3dBc/Hz FoM at 10MHz Offset from 25.8GHz If the frequency mismatch exists in the adjacent cores (f1 = f3 > f2 = f4), a strong coupling (k2) between LG13 and LG24 also helps reduce the output amplitude variation. Consequently, the PN penalty of our dual-path-synchronized oscillator is ~0dB at a 5% frequency mismatch, which is even lower than that of the conventional design (0.2dB).
Xiangxun Zhan1, Jun Yin1, Pui-In Mak1, Rui P. Martins1,2, To design the transformer tank, we can assume no frequency mis
four cores and connect VGP1-4 (VGN1-4, VDP1-4, and VDN1-4) together. Then the quad-core oscillator can be equivalent to a dual-core oscillator in Fig. 8.2.3 (top-left). The triplecoil transformer in the dual-core oscilla
ISSCC 2023 Session 8 mm-Wave
An 11.5-to-14.3GHz 192.8dBc/Hz FoM at 1MHz Offset Dual-Core Enhanced Class-F VCO with Common-Mode-Noise Self-Cancellation and Isolation Technique
Qixiu Wu, Wei Deng, Haikun Jia, Hongzhuo Liu, Shiwei Zhang, Zhihua Wang, Baoyong Chi
stricter requirements on the power consumption, silicon area, and phase noise specifications for local oscillators (LOs) in mobile and portable devices, especially in battery-powered mobile phones, notebook computers, an
ISSCC 2023 Session 7 AI / ML
CTLE-Ising: A 1440-Spin Continuous-Time Latch-Based Ising Machine with One-Shot Fully-Parallel Spin Updates Featuring Equalization of Spin States
Jooyoung Bae*, Wonsik Oh*, Jahyun Koo, Bongjin Kim
*Equally Credited Authors (ECAs) The Ising machine is a hardware accelerator that finds solutions to combinatorial optimization problems (COPs) using the natural convergence behavior of the Ising model, which comprises a
ISSCC 2023 Session 7 AI / ML
A 22nm Delta-Sigma Computing-In-Memory (∆ΣCIM) SRAM Macro with Near-Zero-Mean Outputs and LSB-First ADCs Achieving 21.38TOPS/W for 8b-MAC Edge AI Processing
Peiyu Chen*1, Meng Wu*1, Wentao Zhao1, Jiajia Cui1, Zhixuan Wang1,2,
Peking University, Hangzhou, China, 3 Nano Core Chip Electronic Technology, Hangzhou, China *Equally Credited Authors (ECAs) 1 2 In AI-edge devices, the changes of input features are normally progressive or occasional, e
ISSCC 2023 Session 7 AI / ML
CV-CIM: A 28nm XOR-Derived Similarity-Aware Computation-in-Memory for Cost-Volume Construction
Zhiheng Yue, Yang Wang, Huizheng Wang, Yabing Wang, Ruiqi Guo,
pixels in paired images, is a fundamental kernel of stereo vision processing and has been directly used in robotic, autopilot, and AR/VR applications. However, the large parameter size and consecutive data accesses of re
ISSCC 2023 Session 7 AI / ML
A 70.85–86.27TOPS/W PVT-Insensitive 8b Word-Wise ACIM with Post-Processing Relaxation
end of the compute phase, the converted voltage (V8bink = Dink[7:0] × VREF /(16 × 17)) is, buffered into the SRAM array
the 16× reduction of the global VREF routing (from 8b 256 nodes to 16 nodes), the area is 16× smaller. Without the multi-conversions of MSB/LSB parts and digital bit shifting, the clock complexity, gain, offset, linearit
ISSCC 2023 Session 7 AI / ML
A 28nm Horizontal-Weight-Shift and Vertical-Feature-ShiftBased Separate-WL 6T-SRAM Computation-in-Memory Unit-Macro for Edge Depthwise Neural-Networks
Bo Wang, Chen Xue, Zhongyuan Feng, Zhaoyang Zhang, Han Liu, Lizheng Ren,
Xiang Li, Anran Yin, Tianzhu Xiong, Yeyang Xue, Shengnan He, Yuyao Kong, Yongliang Zhou, An Guo, Xin Si, Jun Yang Southeast University, Nanjing, China SRAM-based computation-in-memory (CIM) has shown great potential in i
ISSCC 2023 Session 7 AI / ML
A 4nm 6163-TOPS/W/b 4790-TOPS/mm2/b SRAM Based Digital-Computing-in-Memory Macro Supporting Bit-Width Flexibility and Simultaneous MAC and Weight Update disabled, to save power, in 8b mode. The INWIDTH[1:0] bus controls the XIN width: 00 for 8b, 01 for 12b, and 10 for 16b modes. To support a signed format with width flexibility, the first 4 cycles are signed 4b operations and the rest of the cycles are unsigned 4b operations, regardless of INWIDTH.
Haruki Mori1, Wei-Chang Zhao1, Cheng-En Lee1, Chia-Fu Lee1, Yu-Hao Hsu1,
Chao-Kai Chuang1, Takeshi Hashizume2, Hao-Chun Tung1, Yao-Yi Liu1, Shin-Rung Wu1, Kerem Akarvardar3, Tan-Li Chou1, Hidehiro Fujiwara1, Yih Wang1, Yu-Der Chih1, Yen-Huei Chen1, Hung-Jen Liao1, Tsung-Yung Jonathan Chang1 F
ISSCC 2023 Session 7 AI / ML
A 28nm 38-to-102-TOPS/W 8b Multiply-Less Approximate Digital SRAM Compute-In-Memory Macro for Neural-Network Inference
Yifan He1, Haikang Diao2, Chen Tang1, Wenbin Jia1, Xiyuan Tang2, Yuan Wang2,
2 This paper presents a 2-to-8-b scalable digital SRAM-based CIM macro that is codesigned with a multiply-less neural-network (NN) design methodology and incorporates dynamic-logic-based approximate circuits for vector-v
ISSCC 2023 Session 7 AI / ML
A 28nm 64-kb 31.6-TFLOPS/W Digital-Domain Floating-PointComputing-Unit and Double-Bit 6T-SRAM Computing-inMemory Macro for Floating-Point CNNs
An Guo, Xin Si, Xi Chen, Fangyuan Dong, Xingyu Pu, Dongqi Li,
Yongliang Zhou, Lizheng Ren, Yeyang Xue, Xueshan Dong, Hui Gao, Yiran Zhang, Jingmin Zhang, Yuyao Kong, Tianzhu Xiong, Bo Wang, Hao Cai, Weiwei Shan, Jun Yang Southeast University, Nanjing, China SRAM-based computing-in-
ISSCC 2023 Session 7 AI / ML
A 22nm 832Kb Hybrid-Domain Floating-Point SRAM In-Memory-Compute Macro with 16.2-70.2TFLOPS/W for High-Accuracy AI-Edge Devices
Ping-Chun Wu*1, Jian-Wei Su*1,2, Li-Yang Hong1, Jin-Sheng Ren1,
Chih-Han Chien1, Ho-Yu Chen1, Chao-En Ke1, Hsu-Ming Hsiao2, Sih-Han Li2, Shyh-Shyuan Sheu2, Wei-Chung Lo2, Shih-Chieh Chang2, Chung-Chuan Lo1, Ren-Shuo Liu1, Chih-Cheng Hsieh1, Kea-Tiong Tang1, Meng-fan Chang1 National T
ISSCC 2023 Session 6 Wireline I/O
A 100Gb/s 1.6Vppd PAM-8 Transmitter with High-Swing 3+1 Hybrid FFE Taps in 40nm the selected FFE setting, with proper shift operations involved. This approach minimizes the area and power overhead for the FFE multiplexing, while still covering a sufficient range of configurations for representative channels.
Jeonghyu Yang*, Eunji Song*, Seungwook Hong, Dongjun Lee, Sangwan Lee,
Hyunwoo Im, Taeho Shin, Jaeduk Han The FIR controller output and the N-bit shifted MSB signals are further upconverted by the following ten 8:4 serializers, producing a 40-bit data stream (TA4, TB4, and TC4 for the norma
ISSCC 2023 Session 6 Wireline I/O
A 128Gb/s PAM-4 Transmitter with Programmable-Width Pulse Generator and Pattern-Dependent Pre-Emphasis in 28nm CMOS
Kai Sheng, Weixin Gai, Zeze Feng, Haowei Niu, Bingyi Ye, Hang Zhou
The ever-growing demands for high-bandwidth communications continuously push wireline links to operate at higher speeds. Recently reported transmitters (TXs) have achieved a data rate of more than 100Gb/s [1-6]. PAM-4 mo
ISSCC 2023 Session 6 Wireline I/O
A 0.83pJ/b 52Gb/s PAM-4 Baud-Rate CDR with Pattern-Based Phase Detector for Short-Reach Applications one point. VREFPM is set slightly above h0, and VREFPN is set slightly under $h0 for the optimal point. In this work, a single-stage CTLE is implemented for an energy-efficient equalizer, and the second lock option is chosen.
Seungwoo Park, Yoonjae Choi, Jincheol Sim, Jonghyuck Choi, Hyunsu Park,
Youngwook Kwon, Chulwoo Kim Figure 6.6.4 shows the circuit implementation and the operation of the data recovery path. The detailed operation is illustrated as two phases (CK0,90) in simulated transient waveforms. A conv
ISSCC 2023 Session 6 Wireline I/O
A 37.8dB Channel Loss 0.6µs Lock Time CDR with Flash Frequency Acquisition in 5nm FinFET
Chien-Kai Kao, Shih-Che Hung, Tse-Hsien Yeh, Chen-Yu Hsiao
High-speed SerDes is accompanied by high channel loss. Channel loss is usually compensated by transmitter feed-forward equalization (FFE), receiver continuous time linear equalization (CTLE), and receiver decision-feedba
ISSCC 2023 Session 6 Wireline I/O
A 4nm 32Gb/s 8Tb/s/mm Die-to-Die Chiplet Using NRZ Single-Ended Transceiver With Equalization Schemes And Training Techniques
Kihwan Seong, Donguk Park, Gyeomje Bae, Hyunwoo Lee, Youngseob Suh,
Wooseuk Oh, Hyemun Lee, Juyoung Kim, Takgun Lee, Geonhoo Mo, Sukhyun Jung, Dongcheol Choi, Byoung-Joo Yoo, Sanghune Park, Hyo-Gyuem Rhew, Jongshin Shin Samsung Electronics, Hwasung, Korea Recently, the demand for multi-c
ISSCC 2023 Session 6 Wireline I/O
A 0.43pJ/b 200Gb/s 5-Tap Delay-Line-Based Receiver FFE with Low-Frequency Equalization in 28nm CMOS
Bingyi Ye, Guangdong Wu, Weixin Gai, Kai Sheng, Yandong He
The ever-increasing demand for greater I/O bandwidth has pushed the transceiver data rate to 200Gb/s [1]. At this rate, the implementation of decision-feedback equalizers faces severe timing constraints. Discrete-time fe
ISSCC 2023 Session 6 Wireline I/O
A 4.63pJ/b 112Gb/s DSP-Based PAM-4 Transceiver for a Large-Scale Switch in 5nm FinFET detection can either use a low-latency short FFE to minimize peaking in the jitter transfer curve or use the main FFE/DFE output for very high loss channels (> 40dB).
Henry Park*1, Mohammed Abdullatif*1, Ehung Chen1, Ahmed Elmallah1,
Qaiser Nehal1, Miguel Gandara1, Tsz-Bin Liu2, Amr Khashaba1, Joonyeong Lee1, Chih-Yi Kuan2, Dhinessh Ramachandran1, Ruey-Bo Sun2, Atharav Atharav1, Yusang Chun1, Mantian Zhang1, Deng-Fu Weng2, Chung-Hsien Tsai2, Chen-Hao
ISSCC 2023 Session 6 Wireline I/O
A 112Gb/s Serial Link Transceiver With 3-tap FFE and 18-tap DFE Receiver for up to 43dB Insertion Loss Channel in 7nm FinFET Technology
Bo Zhang1, Anand Vasani1, Ashutosh Sinha2, Alireza Nilchi1, Haitao Tong1,
Lakshmi Rao1, Karapet Khanoyan1, Hamid Hatamkhani1, Xiaochen Yang1, Xin Meng1, Alexander Wong2, Jun Kim2, Ping Jing2, Yehui Sun2, Ali Nazemi1, Dean Liu2, Anthony Brewster1, Jun Cao1, Afshin Momtaz1 Broadcom, Irvine, CA B
ISSCC 2023 Session 5 Image Sensors
Dual-Port CMOS Image Sensor with Regression-Based HDR Flux-to-Digital Conversion and 80ns Rapid-Update Pixel-Wise Exposure Coding
Rahul Gulve, Roberto Rangel, Ayandev Barman, Don Nguyen, Mian Wei,
Motasem A. Sakr, Xiaonong Sun, David B. Lindell, Kiriakos N. Kutulakos, Roman Genov University of Toronto, Toronto, Canada Today’s best consumer cameras typically use computational imaging techniques to digitally enhance
ISSCC 2023 Session 5 Image Sensors
55pW/pixel Peak Power Imager with Near-Sensor Novelty/Edge Detection and DC-DC Converter-Less MPPT for Purely Harvested Sensor Nodes
Karim Ali Ahmed*, Hayate Okuhara*, Massimo Alioto
*Equally Credited Authors (ECAs) Cost and form factor reductions in CMOS imagers are enabling the deployment of increasingly distributed vision sensor systems. Due to battery cost and size, aggressive power reductions ar
ISSCC 2023 Session 5 Image Sensors
A 400×200 600fps 117.7dB-DR SPAD X-Ray Detector with Seamless Global Shutter and Time-Encoded Extrapolation Counter
Byungchoul Park1, Byungwook Ahn1, Hyun-Seung Choi2, Jinwoong Jeong3,
overflow, and hence an active reset is implemented with a reset transistor MAQ and the pixel supply voltage VPIX (=3.3V), a higher voltage than VEX. The buffered SPAD output φSPAD is fed to either counter A or B via inpu
ISSCC 2023 Session 5 Image Sensors
A 16.4kPixel 3.08-to-3.86THz Digital Real-Time CMOS Image Sensor with 73dB Dynamic Range
Min Liu1, Ziteng Cai1, Shaohua Zhou2, Man-Kay Law3, Jian Liu1, Jianguo Ma4,
Terahertz (THz) imaging has promising applications in chemical and biomedical systems, industrial defect inspection, security screening, and radio astronomy owing to its favorable resolution and nondestructive features [
ISSCC 2023 Session 5 Image Sensors
A 0.64µm 4-Photodiode 1.28µm 50Mpixel CMOS Image Sensor with 0.98e- Temporal Noise and 20Ke- Full-Well Capacity Employing Quarter-Ring Source-Follower
Hyuncheol Kim, Yun Hyeok Kim, Sanghyuck Moon, Hwanwoong Kim,
Byeongjun Yoo, Jueun Park, Seyoung Kim, June-Mo Koo, Sewon Seo, Hye Ji Shin, Younghwan Choi, Jinwoo Kim, Kyungil Kim, Jae-Hoon Seo, Seunghyun Lim, Taesub Jung, Howoo Park, Sangil Jung, Juhyun Ko, Kyungho Lee, JungChak Ah
ISSCC 2023 Session 5 Image Sensors
A 2.97µm-Pitch Event-Based Vision Sensor with Shared Pixel Front-End Circuitry and Low-Noise Intensity Readout Mode
Atsumi Niwa1, Futa Mochizuki1, Raphael Berner2, Takuya Maruyama1,
Toshio Terano1, Kenichi Takamiya1, Yasutaka Kimura1, Kyoji Mizoguchi1, Takahiro Miyazaki1, Shun Kaizu1, Hirotsugu Takahashi1, Atsushi Suzuki1, Christian Brandli2, Hayato Wakabayashi1, Yusuke Oike1 Sony Semiconductor Solu
ISSCC 2023 Session 5 Image Sensors
µm 35.6Mpixel RGB Hybrid Event-Based Vision Sensor with 4.88µm-Pitch Event Pixels and up to 10K Event Frame Rate by Adaptive Control on Event Sparsity
Kazutoshi Kodama1, Yusuke Sato1, Yuhi Yorikado1, Raphael Berner2,
Kyoji Mizoguchi1, Takahiro Miyazaki1, Masahiro Tsukamoto1, Yoshihisa Matoba1, Hirotaka Shinozaki1, Atsumi Niwa1, Tetsuji Yamaguchi1, Christian Brandli2, Hayato Wakabayashi1, Yusuke Oike1 Sony Semiconductor Solutions, Ats
ISSCC 2023 Session 5 Image Sensors
A 3-Wafer-Stacked Hybrid 15MPixel CIS + 1MPixel EVS with
4.6GEvent/s Readout, In-Pixel TDC and On-Chip ISP and ESP, Function
Menghan Guo1, Shoushun Chen1, Zhe Gao2, Wenlei Yang1, Peter Bartkovjak2, Qing Qin2, Xiaoqin Hu1, Dahei Zhou1, Masayuki Uchiyama2, Yoshiharu Kudo3, Shimpei Fukuoka3, Chengcheng Xu2, Hiroaki Ebihara2, Andy Wang2, Peiwen Ji
ISSCC 2023 Session 4 Clocking & PLLs
A 0.4V-VDD 2.25-to-2.75GHz ULV-SS-PLL Achieving 236.6fsrms
Jitter, -253.8dB Jitter-Power FoM, and -76.1dBc Reference, Spur
Zhao Zhang1, Xinyu Shen1, Zhaoyu Zhang1, Guike Li1, Nan Qi1, Jian Liu1, Yong Chen2, Nanjian Wu1, Liyuan Liu1 Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China University of Macau, Macau, China 1 2
ISSCC 2023 Session 4 Clocking & PLLs
A 47fsrms-Jitter and 26.6mW 103.5GHz PLL with Power-Gating Injection-Locked Frequency-Multiplier-Based Phase Detector and Extended Loop Bandwidth
Jooeun Bang, Jaeho Kim, Seohee Jung, Suneui Park, Jaehyouk Choi
The W and D bands located at the lower boundary of the sub-THz spectrum are considered viable candidates for CMOS-based wireless-communication systems to utilize sub-THz frequencies. However, there are still many challen
ISSCC 2023 Session 4 Clocking & PLLs
A 9.25GHz Digital PLL with Fractional-Spur Cancellation Based on a Multi-DTC Topology
Giacomo Castoro*1, Simone M. Dartizio*1, Francesco Tesolin1,
Carlo Samori1, Andrea L. Lacaita1, Salvatore Levantino1 Politecnico di Milano, Milan, Italy, 2Infineon Technologies, Villach, Austria *Equally Credited Authors (ECAs) 1 The quest of increasingly higher mobile uplink/down
ISSCC 2023 Session 4 Clocking & PLLs
A 32kHz-Reference 2.4GHz Fractional-N Nonuniform Oversampling PLL with Gain-Boosted PD and Loop-Gain Calibration constructed DAC voltage (VDAC) is shaped with a high slope (SDAC) in the gain-boosted PD, a high SDAC is achieved by generating a slope on VDAC in the gain-boosted PD, and the DTC delay is used to compensate for the timing error from CLKFB to the voltage crossing.
Junjun Qiu, Wenqian Wang, Zheng Sun, Bangan Liu, Yuncheng Zhang,
Dingxin Xu, Hongye Huang, Ashbir Aviat Fadila, Zezheng Liu, Waleed Madany, Yuang Xiong, Atsushi Shirane, Kenichi Okada Figure 4.4.3 illustrates the proposed gain-boosted PD. In the conventional OSPLL, the slew rate of th
ISSCC 2023 Session 4 Clocking & PLLs
A 76.7fs-Integrated-Jitter and -71.9dBc In-Band FractionalSpur Bang-Bang Digital PLL Based on an Inverse-ConstantSlope DTC and FCW Subtractive Dithering
Simone M. Dartizio1, Francesco Tesolin1, Giacomo Castoro1,
Luca Bertulessi1, Carlo Samori1, Andrea L. Lacaita1, Salvatore Levantino1 Politecnico di Milano, Milano, Italy, 2Infineon Technologies, Villach, Austria 1 Ultra-low-jitter and high-spectral-purity frequency synthesizers
ISSCC 2023 Session 4 Clocking & PLLs
A 135fsrms-Jitter 0.6-to-7.7GHz LO Generator Using a Single LC-VCO-Based Subsampling PLL and a Ring-Oscillator-Based Sub-Integer-N Frequency Multiplier
Yongwoo Jo*, Juyeop Kim*, Yuhwan Shin, Chanwoong Hwang, Hangi Park, Jaehyouk Choi
bands are still the primary spectrum for 5G communications due to their natural advantages, such as higher compatibility/interoperability with existing networks and better properties for radio transmission. To fully util