{"title":"A 0.72 nW, 1 Sample/s Fully Integrated pH Sensor with 65.8 LSB/pH Sensitivity","authors":"Yihan Zhang, F. Cardoso, K. Shepard","doi":"10.1109/vlsicircuits18222.2020.9163023","DOIUrl":"https://doi.org/10.1109/vlsicircuits18222.2020.9163023","url":null,"abstract":"This paper presents a 0.85 mm2 fully integrated pH sensor IC utilizing an ion sensitive field effect transistor (ISFET) and reference field effect transistor (REFET) pair in which the native foundry passivation layer is used as an ion sensitive layer. The pH sensor has 10 bit resolution with 65.8 LSB/pH sensitivity, while consuming only 0.72 nW at 1 sample/s, improving an overall figure of merit (FoM) that accounts for power, sampling frequency, and sensitivity by > 4000×.","PeriodicalId":252787,"journal":{"name":"2020 IEEE Symposium on VLSI Circuits","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116267934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Hershberg, N. Markulić, J. Lagos, E. Martens, D. Dermit, J. Craninckx
{"title":"A 1MS/s to 1GS/s Ringamp-Based Pipelined ADC with Fully Dynamic Reference Regulation and Stochastic Scope-on-Chip Background Monitoring in 16nm","authors":"B. Hershberg, N. Markulić, J. Lagos, E. Martens, D. Dermit, J. Craninckx","doi":"10.1109/VLSICircuits18222.2020.9162788","DOIUrl":"https://doi.org/10.1109/VLSICircuits18222.2020.9162788","url":null,"abstract":"This paper presents an 11 bit fully dynamic pipelined ADC with an integrated reference buffer that consumes only 8% of total power. It operates from 1MS/s to 1GS/s and maintains 59.5dB SNDR and 14fJ/conv-step FoMW across this range. Furthermore, a small circuit is introduced that provides background reconstruction of amplifier settling behavior.","PeriodicalId":252787,"journal":{"name":"2020 IEEE Symposium on VLSI Circuits","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133207773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A 1200×1200 8-Edges/Vertex FPGA-Based Motion-Planning Accelerator for Dual-Arm-Robot Manipulation Systems","authors":"Atsutake Kosuge, T. Oshima","doi":"10.1109/vlsicircuits18222.2020.9162951","DOIUrl":"https://doi.org/10.1109/vlsicircuits18222.2020.9162951","url":null,"abstract":"An SoC-FPGA-based motion-planning accelerator operating on a graph with >10M edges is presented for the first time for dual-am-robot manipulation systems. The proposed modified A∗ algorithm with minimized memory access time, is further accelerated by extensive parallel computation and dynamic reconfigurations. The proposed accelerator has been verified by measurement result showing overall motion-planning time of 0.5 seconds, which is only 1/100 of the one by conventional algorithm on embedded CPU, while preserving accuracy.","PeriodicalId":252787,"journal":{"name":"2020 IEEE Symposium on VLSI Circuits","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134081158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Probabilistic Self-Annealing Compute Fabric Based on 560 Hexagonally Coupled Ring Oscillators for Solving Combinatorial Optimization Problems","authors":"Ibrahim Ahmed, Po-Wei Chiu, C. Kim","doi":"10.1109/VLSICircuits18222.2020.9162869","DOIUrl":"https://doi.org/10.1109/VLSICircuits18222.2020.9162869","url":null,"abstract":"NP-hard combinatorial optimization problems (COPs) are very expensive to solve with traditional computers. COPs can be mapped to a coupled spin network where the ground state of the system is the solution. We propose a scalable truly coupled CMOS oscillator-based integrated system mimicking a spin network to solve COPs in hardware. Our simple latch-based coupling design finds solutions of max-cut problems with 85%–100% accuracy 104-106 times faster than commercial software running on a CPU.","PeriodicalId":252787,"journal":{"name":"2020 IEEE Symposium on VLSI Circuits","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116538574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Seungjong Lee, Taewook Kang, John Bell, M. Haghighat, Alberto J. Martinez, M. Flynn
{"title":"An 8-Element Frequency-Selective Acoustic Beamformer and Bitstream Feature Extractor with 60 Mel-Frequency Energy Features Enabling 95% Speech Recognition Accuracy","authors":"Seungjong Lee, Taewook Kang, John Bell, M. Haghighat, Alberto J. Martinez, M. Flynn","doi":"10.1109/vlsicircuits18222.2020.9162783","DOIUrl":"https://doi.org/10.1109/vlsicircuits18222.2020.9162783","url":null,"abstract":"A synergistic approach to beamforming and feature extraction, reduces processing complexity and die area, and delivers the high SNR required for reliable speech recognition. The 1.1mm2 IC combines frequency-selective bitstream beamforming, bitstream Mel frequency-band feature extraction, and an array of continuous-time sigma-delta modulators (SDMs) without area/power-intensive decimation. When coupled with a DNN, the prototype achieves 95.3% accuracy in recognizing spoken words from the Tensorflow dataset.","PeriodicalId":252787,"journal":{"name":"2020 IEEE Symposium on VLSI Circuits","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115735314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monodeep Kar, A. Agarwal, S. Hsu, D. Moloney, Gregory K. Chen, Raghavan Kumar, H. Sumbul, Phil C. Knag, M. Anders, Himanshu Kaul, Jonathan Byrne, Luca Sarti, R. Krishnamurthy, V. De
{"title":"A Ray-Casting Accelerator in 10nm CMOS for Efficient 3D Scene Reconstruction in Edge Robotics and Augmented Reality Applications","authors":"Monodeep Kar, A. Agarwal, S. Hsu, D. Moloney, Gregory K. Chen, Raghavan Kumar, H. Sumbul, Phil C. Knag, M. Anders, Himanshu Kaul, Jonathan Byrne, Luca Sarti, R. Krishnamurthy, V. De","doi":"10.1109/VLSICircuits18222.2020.9163067","DOIUrl":"https://doi.org/10.1109/VLSICircuits18222.2020.9163067","url":null,"abstract":"A ray-casting accelerator in 10nm CMOS simultaneously casts multiple rays in spatial proximity to exploit voxel data-locality, featuring a near-memory search for voxel address overlaps and opportunistic approximate trilinear interpolation for energy savings. Measurements demonstrate ray-casting of 320×240 depth images with an average latency of 23.2ms/frame, while consuming 32.7pJ energy per ray-step and achieving a maximum energy-efficiency of 115.3 giga raysteps/W.","PeriodicalId":252787,"journal":{"name":"2020 IEEE Symposium on VLSI Circuits","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130146742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhehong Wang, Ziyun Li, Li Xu, Qing Dong, Chin-I Su, W. Chu, George Tsou, Y. Chih, T. Chang, D. Sylvester, Hun-Seok Kim, D. Blaauw
{"title":"An All-Weights-on-Chip DNN Accelerator in 22nm ULL Featuring 24×1 Mb eRRAM","authors":"Zhehong Wang, Ziyun Li, Li Xu, Qing Dong, Chin-I Su, W. Chu, George Tsou, Y. Chih, T. Chang, D. Sylvester, Hun-Seok Kim, D. Blaauw","doi":"10.1109/vlsicircuits18222.2020.9162811","DOIUrl":"https://doi.org/10.1109/vlsicircuits18222.2020.9162811","url":null,"abstract":"We present a DNN accelerator in 22nm ULL CMOS featuring 24×1 Mb embedded RRAM. The accelerator, composed of 4 PEs and 512 MACs, achieves 0.96 TOPS/W at 120 MHz with 0.8 V VDD. Each PE contains 6 RRAM macros, equipped with a dynamic clamping offset-canceling sense amplifier that offers sub-μA current input offset.","PeriodicalId":252787,"journal":{"name":"2020 IEEE Symposium on VLSI Circuits","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122478828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Portable NMR System with 50-kHz IF, 10-us Dead Time, and Frequency Tracking","authors":"Sungjin Hong, Nan Sun","doi":"10.1109/vlsicircuits18222.2020.9163029","DOIUrl":"https://doi.org/10.1109/vlsicircuits18222.2020.9163029","url":null,"abstract":"This paper presents a portable nuclear magnetic resonance (NMR) system with significantly enhanced capabilities. Unlike prior works that use the same clock frequency for TX excitation and RX LO, this work uses two separate frequencies with a 50-kHz intermediate frequency (IF) that break the tradeoff between on-resonance excitation and 1/f-noise & offset suppression. It also proposes an accurate but low-cost method to ensure two clocks' phase coherence, which is necessary for NMR time-domain averaging. Moreover, this work addresses the critical limitation of long RX dead time (∼1ms) in prior works. By dynamically adjusting high-pass corner frequencies of IF filters and amplifiers, it shortens the dead time by 100 times to only 10us. Additionally, an automatic frequency tracking technique is devised to address the magnetic field drift problem. This work also reports the highest integration level achieved for an NMR transceiver, with on-chip ADC and DLL. Various measurements have been performed for system validation.","PeriodicalId":252787,"journal":{"name":"2020 IEEE Symposium on VLSI Circuits","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121286133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haoming Xin, Kevin Pelzers, P. Baltus, E. Cantatore, P. Harpe
{"title":"A 4.3fJ/Conversion-Step 6440μm2 All-Dynamic Capacitance-to-Digital Converter with Energy-Efficient Charge Reuse","authors":"Haoming Xin, Kevin Pelzers, P. Baltus, E. Cantatore, P. Harpe","doi":"10.1109/VLSICircuits18222.2020.9162817","DOIUrl":"https://doi.org/10.1109/VLSICircuits18222.2020.9162817","url":null,"abstract":"An ultra-low power all-dynamic capacitance-to-digital converter (CDC) that exploits a novel charge reuse technique is proposed, achieving a FoM as low as 4.3fJ/conv-step, which is >3× better than the state-of-the-art. It supports an inherent scaling of power vs. speed with a minimum power of only 44pW and a compact chip area of 6440μm2.","PeriodicalId":252787,"journal":{"name":"2020 IEEE Symposium on VLSI Circuits","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121192953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Ta, H. Kubota, K. Kokubun, Toshiki Sugimoto, Masatoshi Hirono, M. Sengoku, Hisaaki Katagiri, H. Okuni, Satoshi Kondo, Shinichi Ohtsuka, H. Kwon, K. Sasaki, Yutaka Ota, Kazuhiro Suzuki, K. Kimura, K. Yoshioka, A. Sai, Nobu Matsumoto
{"title":"A 2D-SPAD Array and Read-Out AFE for Next-Generation Solid-State LiDAR","authors":"T. Ta, H. Kubota, K. Kokubun, Toshiki Sugimoto, Masatoshi Hirono, M. Sengoku, Hisaaki Katagiri, H. Okuni, Satoshi Kondo, Shinichi Ohtsuka, H. Kwon, K. Sasaki, Yutaka Ota, Kazuhiro Suzuki, K. Kimura, K. Yoshioka, A. Sai, Nobu Matsumoto","doi":"10.1109/VLSICircuits18222.2020.9162831","DOIUrl":"https://doi.org/10.1109/VLSICircuits18222.2020.9162831","url":null,"abstract":"This paper introduces several key RX techniques to realize a 200m-range and low-cost high-pixel-resolution solid-state LiDAR for autonomous self-driving systems. In-Sensor Scanning 2D-SPAD array can remove the mechanical mirror and improve the pixel-resolution by implying short dead time active-quenching SPADs. For ToF calculating SoC, we adopt the world first dual-data converter (DDC) which consolidates the functions of ADC and TDC into a single circuitry, achieving the acquisition of both high-precision time/voltage data from a single input. Such innovations lead us to 200m-range 300×80-pixel solid-state LiDAR RX under 70klux solar radiation.","PeriodicalId":252787,"journal":{"name":"2020 IEEE Symposium on VLSI Circuits","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125521873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}