Leland Chang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
5
Active years
2009–2021
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | ISCA | RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. | 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 |
| 2019 | DAC | BiScaled-DNN: Quantizing Long-tailed Datastructures with Two Scale Factors for Deep Neural Networks. | Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang |
| 2019 | HiPC | Memory and Interconnect Optimizations for Peta-Scale Deep Learning Systems. | Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Philip Heidelberger, Leland Chang, Kailash Gopalakrishnan |
| 2018 | DAC | Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors. | Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Pierce Chuang, Leland Chang |
| 2018 | ISLPED | Across the Stack Opportunities for Deep Learning Acceleration. | 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 | ISLPED | Taming the beast: Programming Peta-FLOP class Deep Learning Systems. | Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang |
| 2016 | ICCD | Synthesis design strategies for energy-efficient microprocessors. | Ching Zhou, Yu-Shiang Lin, Pong-Fei Lu, Bruce M. Fleischer, David J. Frank, Leland Chang |
| 2012 | DAC | Near-threshold operation for power-efficient computing?: it depends... | Leland Chang, Wilfried Haensch |
| 2009 | ISLPED | Low power circuit design based on heterojunction tunneling transistors (HETTs). | Daeyeon Kim, Yoonmyung Lee, Jin Cai, Isaac Lauer, Leland Chang, Steven J. Koester, Dennis Sylvester, David T. Blaauw |