Ankur Agrawal

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 36

Top Topics

Quality Assurance

Formal Definitions

Top Venues

Publications

Monodeep Kar, Joel Silberman, Swagath Venkataramani, Viji Srinivasan, Bruce M. Fleischer, Joshua Rubin, JohnDavid Lancaster, Sae Kyu Lee, Matthew Cohen, Matthew M. Ziegler, Nianzheng Cao, Sandra Woodward, Ankur Agrawal, Ching Zhou, Prasanth Chatarasi, Thomas Gooding, Michael Guillorn, Bahman Hekmatshoartabari, Philip Jacob, Radhika Jain, Shubham Jain, Jinwook Jung, Kyu-Hyoun Kim, Siyu Koswatta, Martin Lutz, Alberto Mannari, Abey Mathew, Indira Nair, Ashish Ranjan, Zhibin Ren, Scot Rider, Thomas Roewer, David L. Satterfield, Marcel Schaal, Sanchari Sen, Gustavo Tellez, Hung Tran, Wei Wang, Vidhi Zalani, Jintao Zhang, Xin Zhang, Vinay Shah, Robert M. Senger, Arvind Kumar, Pong-Fei Lu, Leland Chang
14.1 A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC. ISSCC (2024)
Ankur Agrawal, Kashifuddin Qazi
Quality Assurance of SNOMED CT using Lexical Similarity and Sibling Relationships. ICMHI (2023)
Ankur Agrawal, Monodeep Kar, Kyu-Hyoun Kim, Sergey V. Rylov, Jinwook Jung, Seiji Munetoh, Kohji Hosokawa, Xin Zhang, Bahman Hekmatshoartabari, Fabio Carta, Martin Cochet, Robert Casatuta, Mingu Kang, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS. VLSI Technology and Circuits (2023)
Reema Agarwal, Ankur Agrawal, Nitendra Kumar, Mohd Asif Shah, Preeti Jawla, S. Priyan
Benchmarking the Interactions among Green and Sustainable Vendor Selection Attributes. Adv. Oper. Res. 2022 (2022)
Sae Kyu Lee, Ankur Agrawal, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matthew Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, Monodeep Kar, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling. IEEE J. Solid State Circuits 57 (1) (2022)
Haijiang Yu, David Patel, Wei Liu, Yann Malinge, Pierre Doussiere, Wenhua Lin, Sanjeev Gupta, Karthik Narayanan, Isako Hoshino, Michael Bresnehan, Sravan Sunkoju, Davide Mantegazza, Robert Herrick, Ranju Venables, Hari Mahalingam, Pegah Seddighian, Avi Fuerst, Jordan Davis, David Gold, Xing Pan, Kadhair Al-Hemyari, Ankur Agrawal, Yi Li, Xueyan Zheng, Mala Geethachar, Michael Favaro, Daniel Zhu, Ansheng Liu, Yuliya Akulova
800 Gbps Fully Integrated Silicon Photonics Transmitter for Data Center Applications. OFC (2022)
Ankur Agrawal, Sae Kyu Lee, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matt Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Monodeep Kar, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling. ISSCC (2021)
Kashifuddin Qazi, Ankur Agrawal
A Context-based Crowd Sourcing Tool for Quality Assurance of SNOMED CT. BIBM (2021)
Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. ISCA (2021)
Myada Roshdi, Nasif Nayeer, Mohammed Elmahgiubi, Ankur Agrawal, Danson Evan Garcia
A Unified Evaluation Framework for Autonomous Driving Vehicles. IV (2020)
Jinwook Oh, Sae Kyu Lee, Mingu Kang, Matthew M. Ziegler, Joel Silberman, Ankur Agrawal, Swagath Venkataramani, Bruce M. Fleischer, Michael Guillorn, Jungwook Choi, Wei Wang, Silvia M. Mueller, Shimon Ben-Yehuda, James Bonanno, Nianzheng Cao, Robert Casatuta, Chia-Yu Chen, Matt Cohen, Ophir Erez, Thomas W. Fox, George Gristede, Howard Haynie, Vicktoria Ivanov, Siyu Koswatta, Shih-Hsien Lo, Martin Lutz, Gary W. Maier, Alex Mesh, Yevgeny Nustov, Scot Rider, Marcel Schaal, Michael Scheuermann, Xiao Sun, Naigang Wang, Fanchieh Yee, Ching Zhou, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference. VLSI Circuits (2020)
Ankur Agrawal, Licong Cui
Quality assurance and enrichment of biological and biomedical ontologies and terminologies. BMC Medical Informatics Decis. Mak. (10) (2020)
Xiao Sun, Naigang Wang, Chia-Yu Chen, Jiamin Ni, Ankur Agrawal, Xiaodong Cui, Swagath Venkataramani, Kaoutar El Maghraoui, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan
Ultra-Low Precision 4-bit Training of Deep Neural Networks. NeurIPS (2020)
Haijiang Yu, Pierre Doussiere, David Patel, Wenhua Lin, Kadhair Al-Hemyari, Jung Park, Catherine Jan, Robert Herrick, Isako Hoshino, Lincoln Busselle, Michael Bresnehan, Adam Bowles, George A. Ghiurcan, Harel Frish, Shane Yerkes, Ranju Venables, Pegah Seddighian, Xavier Serey, Kimchau Nguyen, Animesh Banerjee, Siamak Amiralizadeh Asl, Qing Zhu, Sushant Gupta, Avi Fuerst, Avsar Dahal, Jian Chen, Yann Malinge, Hari Mahalingam, Mike Kwon, Sanjeev Gupta, Ankur Agrawal, Raghuram Narayan, Michael Favaro, Daniel Zhu, Yuliya Akulova
400Gbps Fully Integrated DR4 Silicon Photonics Transmitter for Data Center Applications. OFC (2020)
Chung Won Lee, Nasif Nayeer, Danson Evan Garcia, Ankur Agrawal, Bingbing Liu
Identifying the Operational Design Domain for an Automated Driving System through Assessed Risk. IV (2020)
Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh R. Shanbhag, Kailash Gopalakrishnan
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks. CoRR (2019)
Ankur Agrawal, Bruce M. Fleischer, Silvia M. Mueller, Xiao Sun, Naigang Wang, Jungwook Choi, Kailash Gopalakrishnan
DLFloat: A 16-b Floating Point Format Designed for Deep Learning Training and Inference. ARITH (2019)
Ankur Agrawal, Kashifuddin Qazi
A Machine Learning Approach for Quality Assurance of SNOMED CT. BIBM (2019)
Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh R. Shanbhag, Kailash Gopalakrishnan
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks. ICLR (Poster) (2019)
Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training. AAAI (2018)
Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Vijayalakshmi Srinivasan, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan
A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference. VLSI Circuits (2018)
Ankur Agrawal
Evaluating lexical similarity and modeling discrepancies in the procedure hierarchy of SNOMED CT. BMC Medical Informatics Decis. Mak. 18 (S-4) (2018)
Vijayalakshmi Srinivasan, Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan
Across the Stack Opportunities for Deep Learning Acceleration. ISLPED (2018)
Glen J. Anderson, Selvakumar Panneer, Meng Shi, Carl S. Marshall, Ankur Agrawal, Rebecca Chierichetti, Giuseppe Raffa, John Sherry, Daria Loi, Lenitra Megail Durham
Kid Space: Interactive Learning in a Smart Environment. GIFT@ICMI (2018)
Ankur Agrawal, Glen J. Anderson, Meng Shi, Rebecca Chierichetti
Tangible Play Surface Using Passive RFID Sensor Array. CHI Extended Abstracts (2018)
Ankur Agrawal, Paul Revelo
Analysis of the consistency in the structural modeling of SNOMED CT and CORE problem list concepts. BIBM (2017)
Ankur Agrawal, Chia-Yu Chen, Jungwook Choi, Kailash Gopalakrishnan, Jinwook Oh, Sunil Shukla, Viji Srinivasan, Swagath Venkataramani, Wei Zhang
Accelerator Design for Deep Learning Training: Extended Abstract: Invited. DAC (2017)
Matthew P. Bowers, Chinmay V. Harmalkar, Ankur Agrawal, Abhishek Kashyap, Jonathan Tai, Marko B. Popovic
Design and test of biologically inspired multi-fiber Hydro Muscle actuated ankle. ARSO (2017)
Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training. CoRR (2017)
Ankur Agrawal, Aum Jadhav, Nahas Pareekutty, Samyukta Mogili, Suril Vijaykumar Shah
Terrain Adaptive Posture Correction in Quadruped for Locomotion On Unstructured Terrain. AIR (2017)
Sergey V. Rylov, Troy J. Beukema, Zeynep Toprak Deniz, Thomas Toifl, Yong Liu, Ankur Agrawal, Peter Buchmann, Alexander V. Rylyakov, Michael P. Beakes, Benjamin D. Parker, Mounir Meghelli
3.1 A 25Gb/s ADC-based serial line receiver in 32nm CMOS SOI. ISSCC (2016)
Jason S. Orcutt, Douglas M. Gill, Jonathan E. Proesel, J. Ellis-Monaghan, Folkert Horst, Tymon Barwicz, Chi Xiong, Frederick G. Anderson, Ankur Agrawal, Yves Martin, Christian W. Baks, Marwan Khater, Jessie C. Rosenberg, W. D. Sacher, Jens Hofrichter, Edward Kiewra, Andreas D. Stricker, Frank Libsch, Bert Jan Offrein, Mounir Meghelli, Natalie B. Feilchenfeld, Wilfried Haensch, William M. J. Green
Monolithic silicon photonics at 25 Gb/s. OFC (2016)
Ankur Agrawal, Jungwook Choi, Kailash Gopalakrishnan, Suyog Gupta, Ravi Nair, Jinwook Oh, Daniel A. Prener, Sunil Shukla, Vijayalakshmi Srinivasan, Zehra Sura
Approximate computing: Challenges and opportunities. ICRC (2016)
Timothy O. Dickson, Yong Liu, Ankur Agrawal, John F. Bulzacchelli, Herschel A. Ainspan, Zeynep Toprak Deniz, Benjamin D. Parker, Michael P. Beakes, Mounir Meghelli, Daniel J. Friedman
A 1.8 pJ/bit 16×16Gb/s Source-Synchronous Parallel Interface in 32 nm SOI CMOS with Receiver Redundancy for Link Recalibration. IEEE J. Solid State Circuits 51 (8) (2016)
Daniela K. Rosner, Margaret E. Morris, Ariel Duncan, Sarah E. Fox, Kathi R. Kitner, Ankur Agrawal, Mei J. Chen
Designing for Movement in Public Life with Itinerant Probes. Conference on Designing Interactive Systems (2016)
Ankur Agrawal, Yehoshua Perl, Christopher Ochs, Gai Elhanan
A contextual auditing method for SNOMED CT concepts. Int. J. Data Min. Bioinform. 15 (4) (2016)
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, Pritish Narayanan
Deep Learning with Limited Numerical Precision. CoRR (2015)
Ankur Agrawal, Yehoshua Perl, Christopher Ochs, Gai Elhanan
Algorithmic detection of inconsistent modeling among SNOMED CT concepts by combining lexical and structural indicators. BIBM (2015)
Ankur Agrawal, Wenvi Hidayat, Aravind Ravi, Mark Stamnes, Meishen Yin, Daniela K. Rosner
SynKu: Exploring the Production of Sensory Objects. CHI Extended Abstracts (2015)
Timothy O. Dickson, Yong Liu, Sergey V. Rylov, Ankur Agrawal, Seongwon Kim, Ping-Hsuan Hsieh, John F. Bulzacchelli, Mark A. Ferriss, Herschel A. Ainspan, Alexander V. Rylyakov, Benjamin D. Parker, Michael P. Beakes, Christian W. Baks, Lei Shan, Young Hoon Kwark, José A. Tierno, Daniel J. Friedman
A 1.4 pJ/bit, Power-Scalable 16×12 Gb/s Source-Synchronous I/O With DFE Receiver in 32 nm SOI CMOS Technology. IEEE J. Solid State Circuits 50 (8) (2015)
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, Pritish Narayanan
Deep Learning with Limited Numerical Precision. ICML (2015)
Christopher Ochs, James Geller, Yehoshua Perl, Yan Chen, Ankur Agrawal, James T. Case, George Hripcsak
A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships. J. Am. Medical Informatics Assoc. 22 (3) (2015)
Timothy O. Dickson, Yong Liu, Ankur Agrawal, John F. Bulzacchelli, Herschel A. Ainspan, Zeynep Toprak Deniz, Benjamin D. Parker, Mounir Meghelli, Daniel J. Friedman
A 1.8-pJ/bit 16×16-Gb/s source synchronous parallel interface in 32nm SOI CMOS with receiver redundancy for link recalibration. CICC (2015)
Ankur Agrawal, Gai Elhanan
Contrasting lexical similarity and formal definitions in SNOMED CT: Consistency and implications. J. Biomed. Informatics 47 (2014)
Jayendra Barua, Dhaval Patel, Ankur Agrawal
Removing Noise Content from Online News Articles. COMAD (2014)
Timothy O. Dickson, Yong Liu, Sergey V. Rylov, Ankur Agrawal, Seongwon Kim, Ping-Hsuan Hsieh, John F. Bulzacchelli, Mark A. Ferriss, Herschel A. Ainspan, Alexander V. Rylyakov, Benjamin D. Parker, Christian W. Baks, Lei Shan, Young Hoon Kwark, José A. Tierno, Daniel J. Friedman
A 1.4-pJ/b, power-scalable 16×12-Gb/s source-synchronous I/O with DFE receiver in 32nm SOI CMOS technology. CICC (2014)
Ankur Agrawal, Zhe He, Yehoshua Perl, Duo Helen Wei, Michael Halper, Gai Elhanan, Yan Chen
The readiness of SNOMED problem list concepts for meaningful use of electronic health records. Artif. Intell. Medicine 58 (2) (2013)
Ankur Agrawal, Yehoshua Perl, Gai Elhanan
Identifying Problematic Concepts in SNOMED CT using a Lexical Approach. MedInfo (2013)
Zhe He, Christopher Ochs, Ankur Agrawal, Yehoshua Perl, Dimitris Zeginis, Konstantinos A. Tarabanis, Gai Elhanan, Michael Halper, Natasha F. Noy, James Geller
A Family-Based Framework for Supporting Quality Assurance of Biomedical Ontologies in BioPortal. AMIA (2013)
Ankur Agrawal, Yehoshua Perl, Yan Chen, Gai Elhanan, Mei Liu
Identifying Inconsistencies in SNOMED CT Problem Lists using Structural Indicators. AMIA (2013)
Ankur Agrawal, John F. Bulzacchelli, Timothy O. Dickson, Yong Liu, José A. Tierno, Daniel J. Friedman
A 19Gb/s serial link receiver with both 4-tap FFE and 5-tap DFE functions in 45nm SOI CMOS. ISSCC (2012)
Ankur Agrawal, John F. Bulzacchelli, Timothy O. Dickson, Yong Liu, José A. Tierno, Daniel J. Friedman
A 19-Gb/s Serial Link Receiver With Both 4-Tap FFE and 5-Tap DFE Functions in 45-nm SOI CMOS. IEEE J. Solid State Circuits 47 (12) (2012)
Ankur Agrawal, S. Sudarshan, Ajitav Sahoo, Adil Anis Sandalwala, Prashant Jaiswal
Entity Ranking and Relationship Queries using an Extended Graph Model. COMAD (2012)
Christopher Ochs, Ankur Agrawal, Yehoshua Perl, Michael Halper, Samson W. Tu, Simona Carini, Ida Sim, Natalya Fridman Noy, Mark A. Musen, James Geller
Deriving an Abstraction Network to Support Quality Assurance in OCRe. AMIA (2012)
Ankur Agrawal, Pavan Kumar Hanumolu, Gu-Yeon Wei
Area efficient phase calibration of a 1.6 GHz multiphase DLL. CICC (2011)
Ankur Agrawal
Local Subspace Based Outlier Detection. IC3 (2009)
Ankur Agrawal, Andrew Liu, Pavan Kumar Hanumolu, Gu-Yeon Wei
An 8×5 Gb/s Parallel Receiver With Collaborative Timing Recovery. IEEE J. Solid State Circuits 44 (11) (2009)
Ankur Agrawal, Pavan Kumar Hanumolu, Gu-Yeon Wei
A 8×5 Gb/s source-synchronous receiver with clock generator phase error correction. CICC (2008)
Ankur Agrawal, Pavan Kumar Hanumolu, Gu-Yeon Wei
An 8×3.2Gb/s Parallel Receiver with Collaborative Timing Recovery. ISSCC (2008)