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Leland Chang
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2020 – today
- 2024
- [c37]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
14.1 A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC. ISSCC 2024: 254-256 - 2023
- [c36]Ankur Agrawal, Monodeep Kar, Kyu-Hyoun Kim
A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS. VLSI Technology and Circuits 2023: 1-2 - 2022
- [j13]Sae Kyu Lee
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): 182-197 (2022) - [c35]Naigang Wang, Chi-Chun (Charlie) Liu, Swagath Venkataramani, Sanchari Sen, Chia-Yu Chen, Kaoutar El Maghraoui, Vijayalakshmi Srinivasan, Leland Chang:
Deep Compression of Pre-trained Transformer Models. NeurIPS 2022 - 2021
- [c34]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
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. ISCA 2021: 153-166 - [c33]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
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling. ISSCC 2021: 144-146 - 2020
- [j12]Swagath Venkataramani
Efficient AI System Design With Cross-Layer Approximate Computing. Proc. IEEE 108(12): 2232-2250 (2020) - [c32]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
A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference. VLSI Circuits 2020: 1-2
2010 – 2019
- 2019
- [j11]Swagath Venkataramani, Jungwook Choi, Vijayalakshmi Srinivasan, Wei Wang, Jintao Zhang, Marcel Schaal, Mauricio J. Serrano, Kazuaki Ishizaki, Hiroshi Inoue, Eri Ogawa, Moriyoshi Ohara, Leland Chang, Kailash Gopalakrishnan:
DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator. IEEE Micro 39(5): 102-111 (2019) - [c31]Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang:
BiScaled-DNN: Quantizing Long-tailed Datastructures with Two Scale Factors for Deep Neural Networks. DAC 2019: 201 - [c30]Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Philip Heidelberger, Leland Chang, Kailash Gopalakrishnan:
Memory and Interconnect Optimizations for Peta-Scale Deep Learning Systems. HiPC 2019: 225-234 - [c29]Swagath Venkataramani, Jungwook Choi, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan, Leland Chang:
Performance-driven Programming of Multi-TFLOP Deep Learning Accelerators. IISWC 2019: 257-262 - 2018
- [c28]Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Pierce Chuang, Leland Chang:
Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors. DAC 2018: 38:1-38:6 - [c27]Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang:
Taming the beast: Programming Peta-FLOP class Deep Learning Systems. ISLPED 2018: 18:1 - [c26]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: 35:1-35:2 - [c25]Jonathan Chang, Chun Shiah, Leland Chang:
Session 11 overview: SRAM: Memory subcommittee. ISSCC 2018: 194-195 - [c24]Seung-Jun Bae, Wolfgang Spirkl, Leland Chang:
Session 12 overview: DRAM: Memory subcommittee. ISSCC 2018: 202-203 - [c23]Ki-Tae Park, Yan Li, Leland Chang:
Session 20 overview: Flash-memory solutions: Memory subcommittee. ISSCC 2018: 334-335 - [c22]Shinichiro Shiratake, Edoardo Charbon, Leland Chang, Makoto Nagata:
Session 30 overview: Emerging memories: Memory and technology directions subcommittees. ISSCC 2018: 476-477 - [c21]Naveen Verma, Fatih Hamzaoglu, Makoto Nagata, Leland Chang:
Session 31 overview: Computation in memory for machine learning: Technology directions and memory subcommittees. ISSCC 2018: 486-487 - [c20]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: 35-36 - 2017
- [c19]Swagath Venkataramani, Jungwook Choi, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan, Leland Chang:
POSTER: Design Space Exploration for Performance Optimization of Deep Neural Networks on Shared Memory Accelerators. PACT 2017: 146-147 - [c18]Leland Chang:
Cognitive Data-Centric Systems. ACM Great Lakes Symposium on VLSI 2017: 1 - [c17]Takashi Kono, Ki-Tae Park, Leland Chang:
Session 11 overview: Nonvolatile memory solutions. ISSCC 2017: 194-195 - [c16]Fatih Hamzaoglu, Chun Shiah, Leland Chang:
Session 12 overview: SRAM. ISSCC 2017: 204-205 - [c15]Takefumi Yoshikawa, Seung-Jun Bae, Leland Chang:
Session 23 overview: DRAM, MRAM & DRAM interfaces. ISSCC 2017: 386-387 - 2016
- [j10]Suyoung Bang, Jae-sun Seo, Leland Chang, David T. Blaauw, Dennis Sylvester:
A Low Ripple Switched-Capacitor Voltage Regulator Using Flying Capacitance Dithering. IEEE J. Solid State Circuits 51(4): 919-929 (2016) - [c14]Ching Zhou, Yu-Shiang Lin, Pong-Fei Lu, Bruce M. Fleischer, David J. Frank, Leland Chang:
Synthesis design strategies for energy-efficient microprocessors. ICCD 2016: 103-108 - 2015
- [c13]Jonathan Chang, Leland Chang, Antoine Dupret, Chulwoo Kim, Fatih Hamzaoglu, Takefumi Yoshikawa:
F2: Memory trends: From big data to wearable devices. ISSCC 2015: 1-2 - [c12]Leland Chang, Takefumi Yoshikawa:
Session 17 overview: Embedded memory and DRAM I/O: Memory subcommittee. ISSCC 2015: 308-309 - [c11]Suyoung Bang, Jae-sun Seo, Inhee Lee, Seokhyeon Jeong, Nathaniel Ross Pinckney, David T. Blaauw, Dennis Sylvester, Leland Chang:
A fully-integrated 40-phase flying-capacitance-dithered switched-capacitor voltage regulator with 6mV output ripple. VLSIC 2015: 336- - 2014
- [j9]Timothy C. Fischer, Byeong-Gyu Nam
Highlights of the ISSCC 2013 Processors and High Performance Digital Sessions. IEEE J. Solid State Circuits 49(1): 4-8 (2014) - [j8]Jing Li
1 Mb 0.41 µm2 2T-2R Cell Nonvolatile TCAM With Two-Bit Encoding and Clocked Self-Referenced Sensing. IEEE J. Solid State Circuits 49(4): 896-907 (2014) - [c10]Leland Chang, Ajith Amerasekera, Takashi Hashimoto:
ES2: Data centers to support tomorrow's cloud. ISSCC 2014: 523 - 2013
- [j7]Yoonmyung Lee
Low-Power Circuit Analysis and Design Based on Heterojunction Tunneling Transistors (HETTs). IEEE Trans. Very Large Scale Integr. Syst. 21(9): 1632-1643 (2013) - [c9]Yong Liu, Ping-Hsuan Hsieh
A 0.1pJ/b 5-to-10Gb/s charge-recycling stacked low-power I/O for on-chip signaling in 45nm CMOS SOI. ISSCC 2013: 400-401 - [c8]Leland Chang, Shannon Morton, Ken Chang, Jin-Man Han, Piero Malcovati, Vladimir Stojanovic:
F2: VLSI power-management techniques: Principles and applications. ISSCC 2013: 502-503 - 2012
- [c7]Leland Chang, Wilfried Haensch:
Near-threshold operation for power-efficient computing?: it depends... DAC 2012: 1159-1163 - [c6]Leland Chang, Michael Clinton:
Session 13 overview: High-performance embedded SRAM: Memory subcommittee. ISSCC 2012: 228-229 - 2011
- [j6]Chris H. Kim, Leland Chang:
Guest editors' introduction: Nanoscale Memories Pose Unique Challenges. IEEE Des. Test Comput. 28(1): 6-8 (2011) - [j5]Masood Qazi, Kevin Stawiasz, Leland Chang, Anantha P. Chandrakasan:
A 512kb 8T SRAM Macro Operating Down to 0.57 V With an AC-Coupled Sense Amplifier and Embedded Data-Retention-Voltage Sensor in 45 nm SOI CMOS. IEEE J. Solid State Circuits 46(1): 85-96 (2011) - [c5]Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D. Parker, Steven K. Esser, Robert K. Montoye, Bipin Rajendran
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons. CICC 2011: 1-4 - [c4]Gary S. Ditlow, Robert K. Montoye, Salvatore N. Storino, Sherman M. Dance, Sebastian Ehrenreich, Bruce M. Fleischer, Thomas W. Fox, Kyle M. Holmes, Junichi Mihara, Yutaka Nakamura, Shohji Onishi, Robert Shearer, Dieter F. Wendel, Leland Chang:
A 4R2W register file for a 2.3GHz wire-speed POWER™ processor with double-pumped write operation. ISSCC 2011: 256-258 - [c3]Nicky Lu, Leland Chang, Daisaburo Takashima:
Future system and memory architectures: Transformations by technology and applications. ISSCC 2011: 530 - 2010
- [j4]Leland Chang, David J. Frank, Robert K. Montoye, Steven J. Koester
Practical Strategies for Power-Efficient Computing Technologies. Proc. IEEE 98(2): 215-236 (2010) - [c2]Masood Qazi, Kevin Stawiasz, Leland Chang, Anantha P. Chandrakasan:
A 512kb 8T SRAM macro operating down to 0.57V with an AC-coupled sense amplifier and embedded data-retention-voltage sensor in 45nm SOI CMOS. ISSCC 2010: 350-351
2000 – 2009
- 2009
- [c1]Daeyeon Kim, Yoonmyung Lee
Low power circuit design based on heterojunction tunneling transistors (HETTs). ISLPED 2009: 219-224 - 2008
- [j3]Leland Chang, Robert K. Montoye, Yutaka Nakamura, Kevin Batson, Richard J. Eickemeyer, Robert H. Dennard, Wilfried Haensch, Damir Jamsek:
An 8T-SRAM for Variability Tolerance and Low-Voltage Operation in High-Performance Caches. IEEE J. Solid State Circuits 43(4): 956-963 (2008) - 2006
- [j2]Scott Hanson, Bo Zhai, Kerry Bernstein, David T. Blaauw, Andres Bryant, Leland Chang, Koushik K. Das, Wilfried Haensch, Edward J. Nowak, Dennis Sylvester:
Ultralow-voltage, minimum-energy CMOS. IBM J. Res. Dev. 50(4-5): 469-490 (2006) - 2003
- [j1]Leland Chang, Yang-Kyu Choi, Daewon Ha, Pushkar Ranade, Shiying Xiong, Jeffrey Bokor, Chenming Hu, Tsu-Jae King:
Extremely scaled silicon nano-CMOS devices. Proc. IEEE 91(11): 1860-1873 (2003)
Coauthor Index
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