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Reading List
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Reading List
  • Starting point
  • Reference list
  • PhD application guidelines
    • Index
    • Index
    • Index
    • Index
    • Index
    • WISR Group
    • Shivaram's Group
      • Tools
      • Group papers
        • PushdownDB: Accelerating a DBMS using S3 Computation
        • Declarative Machine Learning Systems
        • P3: Distributed Deep Graph Learning at Scale
        • Accelerating Graph Sampling for Graph Machine Learning using GPUs
        • Unicorn: A System for Searching the Social Graph
        • Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless
        • Garaph: Efficient GPU-accelerated GraphProcessing on a Single Machine with Balanced Replication
        • MOSAIC: Processing a Trillion-Edge Graph on a Single Machine
        • Fluid: Resource-aware Hyperparameter Tuning Engine
        • Lists
          • Wavelet: Efficient DNN Training with Tick-Tock Scheduling
          • GPU Lifetimes on Titan Supercomputer: Survival Analysis and Reliability
          • ZeRO-Infinity and DeepSpeed: Unlocking unprecedented model scale for deep learning training
          • ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
          • KungFu: Making Training inDistributed Machine Learning Adaptive
        • Disk ANN
      • Queries Processing
    • Seminar & Talk
    • Index
    • Distributed Systems Lecture Series
    • Index
    • Reading List
    • Index
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  1. Group
  2. Shivaram's Group
  3. Group papers

Lists

Wavelet: Efficient DNN Training with Tick-Tock SchedulingGPU Lifetimes on Titan Supercomputer: Survival Analysis and ReliabilityZeRO-Infinity and DeepSpeed: Unlocking unprecedented model scale for deep learning trainingZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep LearningKungFu: Making Training inDistributed Machine Learning Adaptive
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