Deep Learning with Dell EMC Isilon

• 1

  Overview
• 2

  Audience
• 3

  Revisions
• 4

  We value your feedback

• 1

  Introduction

• 1

  Isilon storage for deep learning
• 2

  OneFS caching
• 3

  File reads
• 4

  Locks and concurrency
• 5

  Storage tiering

• 1

  Introduction
• 2

  Hardware configuration
• 3

  Benchmark results
• 4

  Detailed performance analysis
• 5

  Floating point precision (FP16 vs. FP32)
• 6

  Dataset preprocessing pipeline optimizations
• 7

  Storage profile of deep learning training
• 8

  Performance-based sizing considerations

• 1

  Machine Learning with RAPIDS

• 1

  Conclusion

• 1

  Overview
• 2

  Compute node configuration
• 3

  GPU
• 4

  Network
• 5

  Isilon

• 1

  Appendix B: Benchmark setup and execution

• 1

  InsightIQ
• 2

  Isilon statistics CLI

• 1

  Introduction
• 2

  iPerf
• 3

  FIO

• 1

  Appendix E: References