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HyoukJoong Lee
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2020 – today
- 2021
- [c18]Dmitry Lepikhin, HyoukJoong Lee, Yuanzhong Xu, Dehao Chen, Orhan Firat, Yanping Huang, Maxim Krikun, Noam Shazeer, Zhifeng Chen:
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding. ICLR 2021 - [i9]Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Blake A. Hechtman, Yanping Huang, Rahul Joshi, Maxim Krikun, Dmitry Lepikhin, Andy Ly, Marcello Maggioni, Ruoming Pang, Noam Shazeer, Shibo Wang, Tao Wang, Yonghui Wu, Zhifeng Chen:
GSPMD: General and Scalable Parallelization for ML Computation Graphs. CoRR abs/2105.04663 (2021) - 2020
- [i8]Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Hongjun Choi, Blake A. Hechtman, Shibo Wang:
Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training. CoRR abs/2004.13336 (2020) - [i7]Dmitry Lepikhin, HyoukJoong Lee, Yuanzhong Xu, Dehao Chen, Orhan Firat, Yanping Huang, Maxim Krikun, Noam Shazeer, Zhifeng Chen:
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding. CoRR abs/2006.16668 (2020) - [i6]Sameer Kumar, James Bradbury, Cliff Young, Yu Emma Wang, Anselm Levskaya, Blake A. Hechtman, Dehao Chen, HyoukJoong Lee, Mehmet Deveci, Naveen Kumar, Pankaj Kanwar, Shibo Wang, Skye Wanderman-Milne, Steve Lacy, Tao Wang, Tayo Oguntebi, Yazhou Zu, Yuanzhong Xu, Andy Swing:
Exploring the limits of Concurrency in ML Training on Google TPUs. CoRR abs/2011.03641 (2020)
2010 – 2019
- 2019
- [c17]Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Xu Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Yonghui Wu, Zhifeng Chen:
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism. NeurIPS 2019: 103-112 - [i5]Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon:
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR abs/1902.08295 (2019) - [i4]Sameer Kumar, Victor Bitorff, Dehao Chen, Chiachen Chou, Blake A. Hechtman, HyoukJoong Lee, Naveen Kumar, Peter Mattson, Shibo Wang, Tao Wang, Yuanzhong Xu, Zongwei Zhou:
Scale MLPerf-0.6 models on Google TPU-v3 Pods. CoRR abs/1909.09756 (2019) - 2018
- [c16]Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake A. Hechtman:
Mesh-TensorFlow: Deep Learning for Supercomputers. NeurIPS 2018: 10435-10444 - [i3]Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake A. Hechtman:
Mesh-TensorFlow: Deep Learning for Supercomputers. CoRR abs/1811.02084 (2018) - [i2]Yanping Huang, Yonglong Cheng, Dehao Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Zhifeng Chen:
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism. CoRR abs/1811.06965 (2018) - 2016
- [c15]Raghu Prabhakar, David Koeplinger, Kevin J. Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun:
Generating Configurable Hardware from Parallel Patterns. ASPLOS 2016: 651-665 - [c14]Kevin J. Brown, HyoukJoong Lee, Tiark Rompf, Arvind K. Sujeeth, Christopher De Sa, Christopher R. Aberger, Kunle Olukotun:
Have abstraction and eat performance, too: optimized heterogeneous computing with parallel patterns. CGO 2016: 194-205 - 2015
- [c13]Nithin George, HyoukJoong Lee, David Novo, Muhsen Owaida, David Andrews
, Kunle Olukotun, Paolo Ienne:
Automatic support for multi-module parallelism from computational patterns. FPL 2015: 1-8 - [c12]Tiark Rompf, Kevin J. Brown, HyoukJoong Lee, Arvind K. Sujeeth, Manohar Jonnalagedda, Nada Amin, Georg Ofenbeck, Alen Stojanov, Yannis Klonatos, Mohammad Dashti, Christoph Koch, Markus Püschel, Kunle Olukotun:
Go Meta! A Case for Generative Programming and DSLs in Performance Critical Systems. SNAPL 2015: 238-261 - [i1]Raghu Prabhakar, David Koeplinger, Kevin J. Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun:
Generating Configurable Hardware from Parallel Patterns. CoRR abs/1511.06968 (2015) - 2014
- [j2]Arvind K. Sujeeth, Kevin J. Brown, HyoukJoong Lee, Tiark Rompf, Hassan Chafi, Martin Odersky, Kunle Olukotun
Delite: A Compiler Architecture for Performance-Oriented Embedded Domain-Specific Languages. ACM Trans. Embed. Comput. Syst. 13(4s): 134:1-134:25 (2014) - [c11]Nithin George, HyoukJoong Lee, David Novo, Tiark Rompf, Kevin J. Brown, Arvind K. Sujeeth, Martin Odersky, Kunle Olukotun, Paolo Ienne:
Hardware system synthesis from Domain-Specific Languages. FPL 2014: 1-8 - [c10]HyoukJoong Lee, Kevin J. Brown, Arvind K. Sujeeth, Tiark Rompf, Kunle Olukotun:
Locality-Aware Mapping of Nested Parallel Patterns on GPUs. MICRO 2014: 63-74 - [c9]Tiark Rompf, Arvind K. Sujeeth, Kevin J. Brown, HyoukJoong Lee, Hassan Chafi, Kunle Olukotun
Surgical precision JIT compilers. PLDI 2014: 41-52 - 2013
- [c8]Arvind K. Sujeeth, Tiark Rompf, Kevin J. Brown, HyoukJoong Lee, Hassan Chafi, Victoria Popic, Michael Wu, Aleksandar Prokopec
Composition and Reuse with Compiled Domain-Specific Languages. ECOOP 2013: 52-78 - [c7]Arvind K. Sujeeth, Austin Gibbons, Kevin J. Brown, HyoukJoong Lee, Tiark Rompf, Martin Odersky, Kunle Olukotun
Forge: generating a high performance DSL implementation from a declarative specification. GPCE 2013: 145-154 - [c6]Tiark Rompf, Arvind K. Sujeeth, Nada Amin, Kevin J. Brown, Vojin Jovanovic, HyoukJoong Lee, Manohar Jonnalagedda, Kunle Olukotun
Optimizing data structures in high-level programs: new directions for extensible compilers based on staging. POPL 2013: 497-510 - 2011
- [j1]HyoukJoong Lee, Kevin J. Brown, Arvind K. Sujeeth, Hassan Chafi, Tiark Rompf, Martin Odersky, Kunle Olukotun:
Implementing Domain-Specific Languages for Heterogeneous Parallel Computing. IEEE Micro 31(5): 42-53 (2011) - [c5]Kevin J. Brown, Arvind K. Sujeeth, HyoukJoong Lee, Tiark Rompf, Hassan Chafi, Martin Odersky, Kunle Olukotun:
A Heterogeneous Parallel Framework for Domain-Specific Languages. PACT 2011: 89-100 - [c4]Arvind K. Sujeeth, HyoukJoong Lee, Kevin J. Brown, Tiark Rompf, Hassan Chafi, Michael Wu, Anand R. Atreya, Martin Odersky, Kunle Olukotun:
OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning. ICML 2011: 609-616 - [c3]Hassan Chafi, Arvind K. Sujeeth, Kevin J. Brown, HyoukJoong Lee, Anand R. Atreya, Kunle Olukotun:
A domain-specific approach to heterogeneous parallelism. PPoPP 2011: 35-46 - [c2]Tiark Rompf, Arvind K. Sujeeth, HyoukJoong Lee, Kevin J. Brown, Hassan Chafi, Martin Odersky, Kunle Olukotun:
Building-Blocks for Performance Oriented DSLs. DSL 2011: 93-117
2000 – 2009
- 2008
- [c1]V. K. Prasad Arava, Manhwee Jo, HyoukJoong Lee, Kiyoung Choi:
A Generic Design for Encoding and Decoding Variable Length Codes in Multi-codec Video Processing Engines. ISVLSI 2008: 197-202
Coauthor Index
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