Leland Chang

53 papers A* 5A 3B 1C 1Misc 1Journal 15Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Is Finer Better? The Limits of Microscaling Formats in Large Language Models.
CoRR
Andrea Fasoli, Monodeep Kar, Chi-Chun (Charlie) Liu, Swagath Venkataramani, Viji Srinivasan, Leland Chang, Naigang Wang
2026 — conf
Spyre: An Inference-Optimized Scalable AI Accelerator for Enterprise Workloads.
ISSCC
Matthew Cohen, Monodeep Kar, Swagath Venkataramani, Viji Srinivasan, Brian Veraa, Matthew M. Ziegler, Nianzheng Cao, Ashish Ranjan, Joel Silberman, Michael Guillorn, Sandra Woodward, JohnDavid Lancaster, Josh Hursey, Kyu-Hyoun Kim, Alberto Mannari, Amrit Nagarajan, Ananda Samajdar, Bahman Hekmatshoartabari, Bob Galbraith, Ching Zhou, David L. Satterfield, Gregory S. Still, Gustavo Tellez, Indira Nair, Indu Masilamanai, Jinwook Jung, Kavi Randhawa, Marcel Schaal, Martin Lutz, Paul Crumley, Philip Jacob, Prasanth Chatarasi, Radhika Jain, Sae Kyu Lee, Sanchari Sen, Sarada Krithivasan, Scot Rider, Shubham Jain, Siyu Koswatta, Thomas Roewer, Tom Gooding, Victor Ferrari, Vidhi Zalani, Zhibin Ren, Kevin Reick, Lisa Maurice, Christopher J. Gonzalez, Chris Catalino, Ryan Nett, Pong-Fei Lu, Robert M. Senger, Leland Chang
2025 J jnl
Power-Limited Inference Performance Optimization Using a Software-Assisted Peak Current Regulation Scheme in a 5-nm AI SoC.
IEEE J. Solid State Circuits
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 Röwer, 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
2024 — conf
14.1 A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC.
ISSCC
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
2023 — conf
A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS.
VLSI Technology and Circuits
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
2022 J jnl
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
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
2022 A* conf
Deep Compression of Pre-trained Transformer Models.
NeurIPS
Naigang Wang, Chi-Chun (Charlie) Liu, Swagath Venkataramani, Sanchari Sen, Chia-Yu Chen, Kaoutar El Maghraoui, Vijayalakshmi Srinivasan, Leland Chang
2021 — conf
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling.
ISSCC
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
2021 A* conf
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference.
ISCA
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
2020 — conf
A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference.
VLSI Circuits
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
2020 J jnl
Efficient AI System Design With Cross-Layer Approximate Computing.
Proc. IEEE
Swagath Venkataramani, Xiao Sun, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Mingu Kang, Ankur Agarwal, Jinwook Oh, Shubham Jain, Tina Babinsky, Nianzheng Cao, Thomas W. Fox, Bruce M. Fleischer, George Gristede, Michael Guillorn, Howard Haynie, Hiroshi Inoue, Kazuaki Ishizaki, Michael J. Klaiber, Shih-Hsien Lo, Gary W. Maier, Silvia M. Mueller, Michael Scheuermann, Eri Ogawa, Marcel Schaal, Mauricio J. Serrano, Joel Silberman, Christos Vezyrtzis, Wei Wang, Fanchieh Yee, Jintao Zhang, Matthew M. Ziegler, Ching Zhou, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Vijayalakshmi Srinivasan, Leland Chang, Kailash Gopalakrishnan
2019 A* conf
BiScaled-DNN: Quantizing Long-tailed Datastructures with Two Scale Factors for Deep Neural Networks.
DAC
Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang
2019 J jnl
DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator.
IEEE Micro
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
2019 Misc conf
Memory and Interconnect Optimizations for Peta-Scale Deep Learning Systems.
HiPC
Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Philip Heidelberger, Leland Chang, Kailash Gopalakrishnan
2019 — conf
Performance-driven Programming of Multi-TFLOP Deep Learning Accelerators.
IISWC
Swagath Venkataramani, Jungwook Choi, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan, Leland Chang
2018 — conf
A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference.
VLSI Circuits
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
2018 A conf
Across the Stack Opportunities for Deep Learning Acceleration.
ISLPED
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
2018 A* conf
Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors.
DAC
Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Pierce Chuang, Leland Chang
2018 — conf
Session 11 overview: SRAM: Memory subcommittee.
ISSCC
Jonathan Chang, Chun Shiah, Leland Chang
2018 — conf
Session 12 overview: DRAM: Memory subcommittee.
ISSCC
Seung-Jun Bae, Wolfgang Spirkl, Leland Chang
2018 — conf
Session 20 overview: Flash-memory solutions: Memory subcommittee.
ISSCC
Ki-Tae Park, Yan Li, Leland Chang
2018 — conf
Session 30 overview: Emerging memories: Memory and technology directions subcommittees.
ISSCC
Shinichiro Shiratake, Edoardo Charbon, Leland Chang, Makoto Nagata
2018 — conf
Session 31 overview: Computation in memory for machine learning: Technology directions and memory subcommittees.
ISSCC
Naveen Verma, Fatih Hamzaoglu, Makoto Nagata, Leland Chang
2018 A conf
Taming the beast: Programming Peta-FLOP class Deep Learning Systems.
ISLPED
Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang
2017 — conf
Cognitive Data-Centric Systems.
ACM Great Lakes Symposium on VLSI
Leland Chang
2017 B conf
POSTER: Design Space Exploration for Performance Optimization of Deep Neural Networks on Shared Memory Accelerators.
PACT
Swagath Venkataramani, Jungwook Choi, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan, Leland Chang
2017 — conf
Session 11 overview: Nonvolatile memory solutions.
ISSCC
Takashi Kono, Ki-Tae Park, Leland Chang
2017 — conf
Session 12 overview: SRAM.
ISSCC
Fatih Hamzaoglu, Chun Shiah, Leland Chang
2017 — conf
Session 23 overview: DRAM, MRAM & DRAM interfaces.
ISSCC
Takefumi Yoshikawa, Seung-Jun Bae, Leland Chang
2016 J jnl
A Low Ripple Switched-Capacitor Voltage Regulator Using Flying Capacitance Dithering.
IEEE J. Solid State Circuits
Suyoung Bang, Jae-sun Seo, Leland Chang, David T. Blaauw, Dennis Sylvester
2016 C conf
Synthesis design strategies for energy-efficient microprocessors.
ICCD
Ching Zhou, Yu-Shiang Lin, Pong-Fei Lu, Bruce M. Fleischer, David J. Frank, Leland Chang
2015 — conf
A fully-integrated 40-phase flying-capacitance-dithered switched-capacitor voltage regulator with 6mV output ripple.
VLSIC
Suyoung Bang, Jae-sun Seo, Inhee Lee, Seokhyeon Jeong, Nathaniel Ross Pinckney, David T. Blaauw, Dennis Sylvester, Leland Chang
2015 — conf
F2: Memory trends: From big data to wearable devices.
ISSCC
Jonathan Chang, Leland Chang, Antoine Dupret, Chulwoo Kim, Fatih Hamzaoglu, Takefumi Yoshikawa
2015 — conf
Session 17 overview: Embedded memory and DRAM I/O: Memory subcommittee.
ISSCC
Leland Chang, Takefumi Yoshikawa
2014 J jnl
1 Mb 0.41 µm
IEEE J. Solid State Circuits
Jing Li, Robert K. Montoye, Masatoshi Ishii, Leland Chang
2014 — conf
ES2: Data centers to support tomorrow's cloud.
ISSCC
Leland Chang, Ajith Amerasekera, Takashi Hashimoto
2014 J jnl
Highlights of the ISSCC 2013 Processors and High Performance Digital Sessions.
IEEE J. Solid State Circuits
Timothy C. Fischer, Byeong-Gyu Nam, Leland Chang, Tadahiro Kuroda, Michiel A. P. Pertijs
2013 — conf
A 0.1pJ/b 5-to-10Gb/s charge-recycling stacked low-power I/O for on-chip signaling in 45nm CMOS SOI.
ISSCC
Yong Liu, Ping-Hsuan Hsieh, Seongwon Kim, Jae-sun Seo, Robert K. Montoye, Leland Chang, José A. Tierno, Daniel J. Friedman
2013 — conf
F2: VLSI power-management techniques: Principles and applications.
ISSCC
Leland Chang, Shannon Morton, Ken Chang, Jin-Man Han, Piero Malcovati, Vladimir Stojanovic
2013 J jnl
Low-Power Circuit Analysis and Design Based on Heterojunction Tunneling Transistors (HETTs).
IEEE Trans. Very Large Scale Integr. Syst.
Yoonmyung Lee, Daeyeon Kim, Jin Cai, Isaac Lauer, Leland Chang, Steven J. Koester, David T. Blaauw, Dennis Sylvester
2012 A* conf
Near-threshold operation for power-efficient computing?: it depends...
DAC
Leland Chang, Wilfried Haensch
2012 — conf
Session 13 overview: High-performance embedded SRAM: Memory subcommittee.
ISSCC
Leland Chang, Michael Clinton
2011 — conf
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons.
CICC
Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D. Parker, Steven K. Esser, Robert K. Montoye, Bipin Rajendran, José A. Tierno, Leland Chang, Dharmendra S. Modha, Daniel J. Friedman
2011 — conf
A 4R2W register file for a 2.3GHz wire-speed POWER™ processor with double-pumped write operation.
ISSCC
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
2011 J jnl
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
Masood Qazi, Kevin Stawiasz, Leland Chang, Anantha P. Chandrakasan
2011 — conf
Future system and memory architectures: Transformations by technology and applications.
ISSCC
Nicky Lu, Leland Chang, Daisaburo Takashima
2011 J jnl
Guest editors' introduction: Nanoscale Memories Pose Unique Challenges.
IEEE Des. Test Comput.
Chris H. Kim, Leland Chang
2010 — conf
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
Masood Qazi, Kevin Stawiasz, Leland Chang, Anantha P. Chandrakasan
2010 J jnl
Practical Strategies for Power-Efficient Computing Technologies.
Proc. IEEE
Leland Chang, David J. Frank, Robert K. Montoye, Steven J. Koester, Brian L. Ji, Paul W. Coteus, Robert H. Dennard, Wilfried Haensch
2009 A conf
Low power circuit design based on heterojunction tunneling transistors (HETTs).
ISLPED
Daeyeon Kim, Yoonmyung Lee, Jin Cai, Isaac Lauer, Leland Chang, Steven J. Koester, Dennis Sylvester, David T. Blaauw
2008 J jnl
An 8T-SRAM for Variability Tolerance and Low-Voltage Operation in High-Performance Caches.
IEEE J. Solid State Circuits
Leland Chang, Robert K. Montoye, Yutaka Nakamura, Kevin Batson, Richard J. Eickemeyer, Robert H. Dennard, Wilfried Haensch, Damir Jamsek
2006 J jnl
Ultralow-voltage, minimum-energy CMOS.
IBM J. Res. Dev.
Scott Hanson, Bo Zhai, Kerry Bernstein, David T. Blaauw, Andres Bryant, Leland Chang, Koushik K. Das, Wilfried Haensch, Edward J. Nowak, Dennis Sylvester
2003 J jnl
Extremely scaled silicon nano-CMOS devices.
Proc. IEEE
Leland Chang, Yang-Kyu Choi, Daewon Ha, Pushkar Ranade, Shiying Xiong, Jeffrey Bokor, Chenming Hu, Tsu-Jae King