Gregory R. Ganger

1. Accelerating Deep Learning by Focusing on the Biggest Losers
   2019/10/02 by Angela H. Jiang, Daniel Wong, Daniel L. -K. Wong +22 · 1 voice · 19 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
2. PipeDream: Fast and Efficient Pipeline Parallel DNN Training
   2018/06/08 by Aaron Harlap, Deepak Narayanan, Harlap, Aaron +11 · 48 citations
   Computer Science · #Advanced Neural Network Applications #Distributed #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
3. Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
   2020/08/27 by Aurick Qiao, Sang Keun Choe, Qiao, Aurick +13 · 19 citations
   Computer Science · #Advanced Neural Network Applications #Age of Information Optimization #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
4. MLtuner: System Support for Automatic Machine Learning Tuning
   2018/03/20 by Henggang Cui, Cui, Henggang, Gregory R. Ganger +3 · 1 citation
   Computer Science · #Machine Learning and Data Classification #Advanced Neural Network Applications #Machine Learning and Algorithms
5. Nonuniform-Tensor-Parallelism: Mitigating GPU failure impact for Scaled-up LLM Training
   2025/04/08 by Daiyaan Arfeen, Arfeen, Daiyaan, Dheevatsa Mudigere +9 · 2 citations
   Computer Science · #Advanced Data Storage Technologies #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC)