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Intra-Operator Parallelism
Lianmin Zheng
Mon Jul 18 01:55 PM -- 02:25 PM (PDT) @
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Lianmin Zheng (UC Berkeley)
More from the Same Authors
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2023 Poster: FlexGen: High-throughput Generative Inference of Large Language Models with a Single GPU »
Ying Sheng · Lianmin Zheng · Binhang Yuan · Zhuohan Li · Max Ryabinin · Beidi Chen · Percy Liang · Christopher Re · Ion Stoica · Ce Zhang -
2023 Oral: FlexGen: High-throughput Generative Inference of Large Language Models with a Single GPU »
Ying Sheng · Lianmin Zheng · Binhang Yuan · Zhuohan Li · Max Ryabinin · Beidi Chen · Percy Liang · Christopher Re · Ion Stoica · Ce Zhang -
2022 Poster: GACT: Activation Compressed Training for Generic Network Architectures »
Xiaoxuan Liu · Lianmin Zheng · Dequan Wang · Yukuo Cen · Weize Chen · Xu Han · Jianfei Chen · Zhiyuan Liu · Jie Tang · Joseph Gonzalez · Michael Mahoney · Alvin Cheung -
2022 Spotlight: GACT: Activation Compressed Training for Generic Network Architectures »
Xiaoxuan Liu · Lianmin Zheng · Dequan Wang · Yukuo Cen · Weize Chen · Xu Han · Jianfei Chen · Zhiyuan Liu · Jie Tang · Joseph Gonzalez · Michael Mahoney · Alvin Cheung -
2022 : Tools for Big Model, Key Takeaways, and Q&A »
Lianmin Zheng -
2022 Tutorial: Welcome to the "Big Model" Era: Techniques and Systems to Train and Serve Bigger Models »
Hao Zhang · Lianmin Zheng · Zhuohan Li · Ion Stoica -
2021 Poster: ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training »
Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez -
2021 Oral: ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training »
Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez