Jeff Rasley - RankMe

29 papers A* 4A 7B 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads. ASPLOS (2) Mert Hidayetoglu, Aurick Qiao, Michael Wyatt, Jeff Rasley, Yuxiong He, Samyam Rajbhandari
2026	J	`jnl`	Training a Large Language Model for Medical Coding Using Privacy-Preserving Synthetic Clinical Data. CoRR John Cook, Michael Wyatt, Peng Wei, Iris Chin, Santosh Gupta, Van Zyl Van Vuuren, Richie Siburian, Amanda Spicer, Kristen Viviano, Alda Cami, Raunaq Malhotra, Zhewei Yao, Jeff Rasley, Gaurav Kaushik
2025	J	`jnl`	Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI. CoRR Samyam Rajbhandari, Mert Hidayetoglu, Aurick Qiao, Ye Wang, Juncheng Yang, Jeff Rasley, Michael Wyatt, Yuxiong He
2025	J	`jnl`	Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences. CoRR Stas Bekman, Samyam Rajbhandari, Michael Wyatt, Jeff Rasley, Tunji Ruwase, Zhewei Yao, Aurick Qiao, Yuxiong He
2025	J	`jnl`	Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment. CoRR Pawel Renc, Michal K. Grzeszczyk, Linglong Qian, Nassim Oufattole, Jeff Rasley, Arkadiusz Sitek
2025	J	`jnl`	Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads. CoRR Mert Hidayetoglu, Aurick Qiao, Michael Wyatt, Jeff Rasley, Yuxiong He, Samyam Rajbhandari
2024	J	`jnl`	DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference. CoRR Connor Holmes, Masahiro Tanaka, Michael Wyatt, Ammar Ahmad Awan, Jeff Rasley, Samyam Rajbhandari, Reza Yazdani Aminabadi, Heyang Qin, Arash Bakhtiari, Lev Kurilenko, Yuxiong He
2023	J	`jnl`	DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales. CoRR Zhewei Yao, Reza Yazdani Aminabadi, Olatunji Ruwase, Samyam Rajbhandari, Xiaoxia Wu, Ammar Ahmad Awan, Jeff Rasley, Minjia Zhang, Conglong Li, Connor Holmes, Zhongzhu Zhou, Michael Wyatt, Molly Smith, Lev Kurilenko, Heyang Qin, Masahiro Tanaka, Shuai Che, Shuaiwen Leon Song, Yuxiong He
2023	J	`jnl`	DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023	A	`conf`	MCR-DL: Mix-and-Match Communication Runtime for Deep Learning. IPDPS Quentin Anthony, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda
2023	J	`jnl`	MCR-DL: Mix-and-Match Communication Runtime for Deep Learning. CoRR Quentin Anthony, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda
2022	J	`jnl`	DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. CoRR Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He
2022	A	`conf`	DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. SC Reza Yazdani Aminabadi, Samyam Rajbhandari, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Olatunji Ruwase, Shaden Smith, Minjia Zhang, Jeff Rasley, Yuxiong He
2022	A*	`conf`	DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale. ICML Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He
2022	J	`jnl`	DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale. CoRR Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He
2021	J	`jnl`	ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning. CoRR Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
2021	A	`conf`	ZeRO-infinity: breaking the GPU memory wall for extreme scale deep learning. SC Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
2020	A*	`conf`	DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters. KDD Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, Yuxiong He
2020	A	`conf`	ZeRO: memory optimizations toward training trillion parameter models. SC Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He
2019	—	`conf`	Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft. OpML Minjia Zhang, Samyam Rajbhandari, Wenhan Wang, Elton Zheng, Olatunji Ruwase, Jeff Rasley, Jason Li, Junhua Wang, Yuxiong He
2019	—	`—`	Application-Aware Cluster Resource Management. Jeff Rasley
2019	J	`jnl`	ZeRO: Memory Optimization Towards Training A Trillion Parameter Models. CoRR Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He
2017	A	`conf`	HyperDrive: exploring hyperparameters with POP scheduling. Middleware Jeff Rasley, Yuxiong He, Feng Yan, Olatunji Ruwase, Rodrigo Fonseca
2016	A	`conf`	Efficient queue management for cluster scheduling. EuroSys Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao
2015	B	`conf`	Crowdsourcing from Scratch: A Pragmatic Experiment in Data Collection by Novice Requesters. HCOMP Alexandra Papoutsaki, Hua Guo, Danaë Metaxa-Kakavouli, Connor Gramazio, Jeff Rasley, Wenting Xie, Guan Wang, Jeff Huang
2015	A	`conf`	Detecting latent cross-platform API violations. ISSRE Jeff Rasley, Eleni Gessiou, Tony Ohmann, Yuriy Brun, Shriram Krishnamurthi, Justin Cappos
2014	—	`conf`	Low-latency Network Monitoring via Oversubscribed Port Mirroring. ONS Jeff Rasley, Brent E. Stephens, Colin Dixon, Eric Rozner, Wes Felter, Kanak Agarwal, John B. Carter, Rodrigo Fonseca
2014	A*	`conf`	Planck: millisecond-scale monitoring and control for commodity networks. SIGCOMM Jeff Rasley, Brent E. Stephens, Colin Dixon, Eric Rozner, Wes Felter, Kanak Agarwal, John B. Carter, Rodrigo Fonseca
2010	A*	`conf`	Retaining sandbox containment despite bugs in privileged memory-safe code. CCS Justin Cappos, Armon Dadgar, Jeff Rasley, Justin Samuel, Ivan Beschastnikh, Cosmin Barsan, Arvind Krishnamurthy, Thomas E. Anderson