S. Dutta, A. Khanna, W. Chakraborty, J. Gomez, S. Joshi, S. Datta
{"title":"Spoken vowel classification using synchronization of phase transition nano-oscillators","authors":"S. Dutta, A. Khanna, W. Chakraborty, J. Gomez, S. Joshi, S. Datta","doi":"10.23919/VLSIC.2019.8777988","DOIUrl":"https://doi.org/10.23919/VLSIC.2019.8777988","url":null,"abstract":"The paradigm of biologically-inspired computing endows the components of a neural network with dynamical functionality, such as self-oscillations, and harnesses emergent physical phenomena like synchronization, to learn and classify complex temporal patterns. In this work, we exploit the synchronization dynamics of a network of ultra-compact, low power Vanadium dioxide (VO2) based insulator-to-metal phase-transition nano-oscillators (IMT-NO) to classify complex temporal pattern for speech discrimination. We successfully train a network of four capacitively coupled IMTNOs to recognize spoken vowels by tuning their oscillation frequencies electrically according to a real-time learning rule and achieve high recognition rates of 90.5% for spoken vowels. Such an energy-efficient compact hardware with a small number of functional elements are a promising technology option for edge artificial intelligence.","PeriodicalId":6707,"journal":{"name":"2019 Symposium on VLSI Circuits","volume":"55 1","pages":"T128-T129"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83885555","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}
P. Cenci, M. Bolatkale, R. Rutten, M. Ganzerli, G. Lassche, K. Makinwa, L. Breems
{"title":"A 3.2mW SAR-assisted CTΔ∑ ADC with 77.5dB SNDR and 40MHz BW in 28nm CMOS","authors":"P. Cenci, M. Bolatkale, R. Rutten, M. Ganzerli, G. Lassche, K. Makinwa, L. Breems","doi":"10.23919/VLSIC.2019.8778176","DOIUrl":"https://doi.org/10.23919/VLSIC.2019.8778176","url":null,"abstract":"This paper presents a SAR-assisted Continuous-time Delta-Sigma $( mathrm { CT } Delta Sigma )$ ADC, which combines the energy efficiency of SAR ADCs with the relaxed driving requirements of $mathrm { CT } Delta Sigma$ ADCs, as well as similar anti-alias filtering. When clocked at 2.4GHz, the ADC achieves 77.5dB SNDR in 40MHz BW. It consumes 3.2mW, resulting in a state-of-the-art Walden FoM of 6.5fJ/cs and a Schreier FOM of 178.5dB.","PeriodicalId":6707,"journal":{"name":"2019 Symposium on VLSI Circuits","volume":"26 1","pages":"C230-C231"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74716272","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 0.25-0.4V, Sub-0.11mW/GHz, 0.15-1.6GHz PLL Using an Offset Dual-Path Loop Architecture with Dynamic Charge Pumps","authors":"Zhao Zhang, Guang Zhu, C. Yue","doi":"10.23919/VLSIC.2019.8778061","DOIUrl":"https://doi.org/10.23919/VLSIC.2019.8778061","url":null,"abstract":"This paper presents an ultra-low-voltage PLL (ULVPLL) with minimum supply voltage at 0.25V. An offset dual-path loop architecture is proposed to relax the current matching requirement in the charge pump (CP) and to mitigate the CP design challenge at such low supply voltage. Two dynamic CP circuits are introduced to lower the design complexity and power consumption. Implemented in 40nm CMOS, the 0.15-1.6GHz ULVPLL is capable of operating under a 0.25-0.4V supply voltage while achieving sub-0.11mW/GHz power efficiency. Measured spur level is -58.3dBc at 0.1GHz offset from 1.6GHz output (under 0.4V supply) and -48.5dBc at 12.5MHz offset from 200MHz output (under 0.25V supply).","PeriodicalId":6707,"journal":{"name":"2019 Symposium on VLSI Circuits","volume":"30 1","pages":"C158-C159"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72570292","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}
Jinseok Kim, Jongeun Koo, Taesu Kim, Yulhwa Kim, Hyungjun Kim, Seunghyun Yoo, Jae-Joon Kim
{"title":"Area-Efficient and Variation-Tolerant In-Memory BNN Computing using 6T SRAM Array","authors":"Jinseok Kim, Jongeun Koo, Taesu Kim, Yulhwa Kim, Hyungjun Kim, Seunghyun Yoo, Jae-Joon Kim","doi":"10.23919/VLSIC.2019.8778160","DOIUrl":"https://doi.org/10.23919/VLSIC.2019.8778160","url":null,"abstract":"We introduce a SRAM-based binary neural network (BNN) hardware which uses a single 6T SRAM cell for XNOR operation for the first time. The cell is 45% smaller than the previous 8T bitcell for XNOR operation. We also propose an in-memory calibration and batch normalization to achieve more reliable operation under the presence of process variation.","PeriodicalId":6707,"journal":{"name":"2019 Symposium on VLSI Circuits","volume":"5 1","pages":"C118-C119"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81902500","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}
Jinhyung Lee, Kwangho Lee, Hyojun Kim, Byungmin Kim, Kwanseo Park, D. Jeong
{"title":"A 0.1pJ/b/dB 1.62-to-10.8Gb/s Video Interface Receiver with Fully Adaptive Equalization Using Un-Even Data Level","authors":"Jinhyung Lee, Kwangho Lee, Hyojun Kim, Byungmin Kim, Kwanseo Park, D. Jeong","doi":"10.23919/VLSIC.2019.8778084","DOIUrl":"https://doi.org/10.23919/VLSIC.2019.8778084","url":null,"abstract":"This paper presents a 65nm CMOS 1.62-to-l0.8Gb/s video interface receiver with fully adaptive equalizers incorporating CTLE and 2-tap DFE. Sign -sign least-mean-squares (SSLMS) algorithm is used for not only the DFE but also the CTLE adaptation to reduce power consumption and extra hardware. An un-even data level is proposed for the optimum locking of the adaptation in the presence of a pre cursor. The receiver achieves BER of 10-12 at 34dB loss channel, occupies 0.174 mm2, and consumes 37.2mW at 10.8Gb/s.","PeriodicalId":6707,"journal":{"name":"2019 Symposium on VLSI Circuits","volume":"20 1","pages":"C198-C199"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82760565","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}
Doohwan Jung, Jong Seok Park, Gregory V. Junek, S. Grijalva, Sagar R. Kumashi, Adam Wang, Sensen Li, H. Cho, Hua Wang
{"title":"A 21952-Pixel Multi-Modal CMOS Cellular Sensor Array with 1568-Pixel Parallel Recording and 4-Point Impedance Sensing","authors":"Doohwan Jung, Jong Seok Park, Gregory V. Junek, S. Grijalva, Sagar R. Kumashi, Adam Wang, Sensen Li, H. Cho, Hua Wang","doi":"10.23919/VLSIC.2019.8778043","DOIUrl":"https://doi.org/10.23919/VLSIC.2019.8778043","url":null,"abstract":"This paper presents a fully integrated CMOS multi-modal cellular sensor/stimulator array with 21952 multi-modal pixels, 1568 simultaneous parallel readout channels, 16 μm×16 μm pixel pitch for single cell resolution, and 3.6 mm×1.6 mm tissue-level field-of-view (FoV), achieving high-resolution multi-parametric cellular potential/impedance/optical imaging for holistic cellular characterization and cell-based assays. Moreover, the array system reports the first on-chip true 4-point impedance sensing scheme with 16 parallel impedance sensing channels, which enables precise cellular impedance measurements with aggressively scaled electrodes and large electrode-electrolyte interfacial impedance. The chip also supports concurrent 16-channel 5-bit reconfigurable current-mode cell stimulation. The chip is implemented in a 130 nm low-cost standard CMOS process. Extracellular potentials (700 μV-1.5 mV) from on-chip cultured neonatal rat ventricular myocytes (NRVMs) are successfully measured. With on-chip cultured cardiac fibroblasts, full-chip high-resolution optical images and 4-point impedance mapping precisely capture cell distribution, growth, proliferation, and surface adhesion.","PeriodicalId":6707,"journal":{"name":"2019 Symposium on VLSI Circuits","volume":"28 1","pages":"C62-C63"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87055296","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}
E. Jang, M. Ryu, R. Patel, S. H. Ahn, H. J. Jeon, K. Han, K. R. Kim
{"title":"Record-High Performance Trantenna Based On Asymmetric Nano-Ring Fet For Polarization-Independent Large-Scale/Real-Time Thz Imaging","authors":"E. Jang, M. Ryu, R. Patel, S. H. Ahn, H. J. Jeon, K. Han, K. R. Kim","doi":"10.23919/VLSIC.2019.8778116","DOIUrl":"https://doi.org/10.23919/VLSIC.2019.8778116","url":null,"abstract":"We demonstrate a record-high performance monolithic trantenna (transistor-antenna) using 65-nm CMOS foundry in the field of a plasmonic terahertz (THz) detector. By applying ultimate structural asymmetry between source and drain on a ring FET with source diameter $( d_{S})$ scaling from 30 to 0.38 mm, we obtained 180 times more enhanced photoresponse $(Delta u)$ in on-chip THz measurement. Through free-space THz imaging experiments, the conductive drain region of ring FET itself showed a frequency sensitivity with resonance frequency at 0.12 THz in $0.09 sim 0.2$ THz range and polarization-independent imaging results as an isotropic circular antenna. Highlyscalable and feeding line-free monolithic trantenna enables a high-performance THz detector with responsivity of 8.8 kV/W and NEP of 3.36 pW/Hz0.5 at the target frequency.","PeriodicalId":6707,"journal":{"name":"2019 Symposium on VLSI Circuits","volume":"56 1","pages":"T160-T161"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90281853","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}