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2020 – today
- 2023
[i5]Quentin Anthony, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
MCR-DL: Mix-and-Match Communication Runtime for Deep Learning. CoRR abs/2303.08374 (2023)- 2022
- [c13]Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He:
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale. ICML 2022: 18332-18346 - [c12]Reza Yazdani Aminabadi, Samyam Rajbhandari, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Olatunji Ruwase, Shaden Smith, Minjia Zhang, Jeff Rasley, Yuxiong He:
DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. SC 2022: 46:1-46:15 - [i4]Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He:
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale. CoRR abs/2201.05596 (2022) - [i3]Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He:
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. CoRR abs/2207.00032 (2022) - 2021
- [c11]Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He:
ZeRO-infinity: breaking the GPU memory wall for extreme scale deep learning. SC 2021: 59 - [i2]Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He:
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning. CoRR abs/2104.07857 (2021) - 2020
- [c10]Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, Yuxiong He:
DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters. KDD 2020: 3505-3506 - [c9]Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He:
ZeRO: memory optimizations toward training trillion parameter models. SC 2020: 20
2010 – 2019
- 2019
- [b1]Jeff Rasley:
Application-Aware Cluster Resource Management. Brown University, USA, 2019 - [c8]Minjia Zhang, Samyam Rajbhandari, Wenhan Wang, Elton Zheng, Olatunji Ruwase, Jeff Rasley, Jason Li, Junhua Wang, Yuxiong He:
Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft. OpML 2019: 5-7 - [i1]Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He:
ZeRO: Memory Optimization Towards Training A Trillion Parameter Models. CoRR abs/1910.02054 (2019) - 2017
- [c7]Jeff Rasley, Yuxiong He, Feng Yan, Olatunji Ruwase, Rodrigo Fonseca:
HyperDrive: exploring hyperparameters with POP scheduling. Middleware 2017: 1-13 - 2016
- [c6]Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao:
Efficient queue management for cluster scheduling. EuroSys 2016: 36:1-36:15 - 2015
- [c5]Alexandra Papoutsaki, Hua Guo, Danaë Metaxa-Kakavouli, Connor Gramazio, Jeff Rasley, Wenting Xie, Guan Wang, Jeff Huang:
Crowdsourcing from Scratch: A Pragmatic Experiment in Data Collection by Novice Requesters. HCOMP 2015: 140-149 - [c4]Jeff Rasley, Eleni Gessiou, Tony Ohmann, Yuriy Brun
, Shriram Krishnamurthi, Justin Cappos:
Detecting latent cross-platform API violations. ISSRE 2015: 484-495 - 2014
- [c3]Jeff Rasley, Brent E. Stephens, Colin Dixon, Eric Rozner, Wes Felter, Kanak Agarwal, John B. Carter, Rodrigo Fonseca:
Low-latency Network Monitoring via Oversubscribed Port Mirroring. ONS 2014 - [c2]Jeff Rasley, Brent E. Stephens, Colin Dixon, Eric Rozner, Wes Felter, Kanak Agarwal, John B. Carter, Rodrigo Fonseca:
Planck: millisecond-scale monitoring and control for commodity networks. SIGCOMM 2014: 407-418 - 2010
- [c1]Justin Cappos, Armon Dadgar, Jeff Rasley, Justin Samuel, Ivan Beschastnikh, Cosmin Barsan, Arvind Krishnamurthy, Thomas E. Anderson:
Retaining sandbox containment despite bugs in privileged memory-safe code. CCS 2010: 212-223
Coauthor Index
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last updated on 2023-05-25 21:22 CEST by the dblp team
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