Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training
Xinyu Lian, Sam Ade Jacobs, Lev Kurilenko, Masahiro Tanaka, Stas Bekman, Olatunji Ruwase, Minjia Zhang
June 2024
DeepSpeed
Extreme Speed and Scale for DL Training and Inference
Publications
Publications
Publications par année
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FastPersist: Accelerating Model Checkpointing in Deep Learning
Guanhua Wang, Olatunji Ruwase, Bing Xie, Yuxiong He
MSR-TR-2024-27 | June 2024
Publié par Microsoft
ZeRO++: Extremely Efficient Collective Communication for Giant Model Training
Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Connor Holmes, Samyam Rajbhandari, Olatunji Ruwase, Feng Yang, Lei Yang, Yuxiong He
ICLR 2024 | May 2024
ZeRO++: Extremely Efficient Collective Communication for Large Model Training
Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Xiaoxia Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yang, Lei Yang, Yuxiong He
ICLR 2024 | March 2024
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DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, L. Song, Samyam Rajbhandari, Yuxiong He
October 2023
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DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Yuxiong He
December 2022
Extreme Compression for Pre-trained Transformers Made Simple and Efficient
Xiaoxia Wu, Zhewei Yao, Minjia Zhang, Conglong Li, Yuxiong He
NeurIPS 2022 | November 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He (yuxhe)
MSR-TR-2022-9 | June 2022
Publié par Microsoft
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He
MSR-TR-2022-21 | June 2022
Publié par Microsoft
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He
ICML 2022 | January 2022
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Scalable and Efficient MoE Training for Multitask Multilingual Models
Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Felipe Cruz Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla
September 2021
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
April 2021
1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB’s Convergence Speed
Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He
April 2021
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ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He
May 2020
Filtre par zone de recherche
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Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training
Xinyu Lian, Sam Ade Jacobs, Lev Kurilenko, Masahiro Tanaka, Stas Bekman, Olatunji Ruwase, Minjia Zhang
June 2024
FastPersist: Accelerating Model Checkpointing in Deep Learning
Guanhua Wang, Olatunji Ruwase, Bing Xie, Yuxiong He
MSR-TR-2024-27 | June 2024
Publié par Microsoft
ZeRO++: Extremely Efficient Collective Communication for Giant Model Training
Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Connor Holmes, Samyam Rajbhandari, Olatunji Ruwase, Feng Yang, Lei Yang, Yuxiong He
ICLR 2024 | May 2024
ZeRO++: Extremely Efficient Collective Communication for Large Model Training
Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Xiaoxia Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yang, Lei Yang, Yuxiong He
ICLR 2024 | March 2024
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, L. Song, Samyam Rajbhandari, Yuxiong He
October 2023
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Yuxiong He
December 2022
Extreme Compression for Pre-trained Transformers Made Simple and Efficient
Xiaoxia Wu, Zhewei Yao, Minjia Zhang, Conglong Li, Yuxiong He
NeurIPS 2022 | November 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He (yuxhe)
MSR-TR-2022-9 | June 2022
Publié par Microsoft
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He
MSR-TR-2022-21 | June 2022
Publié par Microsoft
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He
ICML 2022 | January 2022
Scalable and Efficient MoE Training for Multitask Multilingual Models
Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Felipe Cruz Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla
September 2021
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
April 2021
1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB’s Convergence Speed
Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He
April 2021
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He
May 2020
-
FastPersist: Accelerating Model Checkpointing in Deep Learning
Guanhua Wang, Olatunji Ruwase, Bing Xie, Yuxiong He
MSR-TR-2024-27 | June 2024
Publié par Microsoft
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He
ICML 2022 | January 2022
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He
May 2020
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Scalable and Efficient MoE Training for Multitask Multilingual Models
Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Felipe Cruz Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla
September 2021
Publication Type
-
Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training
Xinyu Lian, Sam Ade Jacobs, Lev Kurilenko, Masahiro Tanaka, Stas Bekman, Olatunji Ruwase, Minjia Zhang
June 2024
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, L. Song, Samyam Rajbhandari, Yuxiong He
October 2023
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
April 2021
1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB’s Convergence Speed
Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He
April 2021
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He
May 2020
-
ZeRO++: Extremely Efficient Collective Communication for Giant Model Training
Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Connor Holmes, Samyam Rajbhandari, Olatunji Ruwase, Feng Yang, Lei Yang, Yuxiong He
ICLR 2024 | May 2024
ZeRO++: Extremely Efficient Collective Communication for Large Model Training
Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Xiaoxia Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yang, Lei Yang, Yuxiong He
ICLR 2024 | March 2024
Extreme Compression for Pre-trained Transformers Made Simple and Efficient
Xiaoxia Wu, Zhewei Yao, Minjia Zhang, Conglong Li, Yuxiong He
NeurIPS 2022 | November 2022
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He
ICML 2022 | January 2022
-
FastPersist: Accelerating Model Checkpointing in Deep Learning
Guanhua Wang, Olatunji Ruwase, Bing Xie, Yuxiong He
MSR-TR-2024-27 | June 2024
Publié par Microsoft
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He (yuxhe)
MSR-TR-2022-9 | June 2022
Publié par Microsoft
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He
MSR-TR-2022-21 | June 2022
Publié par Microsoft
-
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Yuxiong He
December 2022
Scalable and Efficient MoE Training for Multitask Multilingual Models
Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Felipe Cruz Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla
September 2021