Distributed Multi-GPU Computing with Dask, CuPy and RAPIDS

Distributed Multi-GPU Computing with Dask, CuPy and RAPIDS

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Intro

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1 of 18

Intro

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Distributed Multi-GPU Computing with Dask, CuPy and RAPIDS

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  1. 1 Intro
  2. 2 GPU-Accelerated Clustering Code Example
  3. 3 What is RAPIDS? New GPU Accelerated Data Science Pipeline
  4. 4 RAPIDS End-to-End GPU-Accelerated Data Science
  5. 5 Learning from Apache Arrow
  6. 6 Data Science Workflow with RAPIDS
  7. 7 Ecosystem Partners
  8. 8 ML Technology Stack
  9. 9 Distributing Dask
  10. 10 Dask SVD Example
  11. 11 Numpy Array Function (NEP-18)
  12. 12 Python CUDA Array Interface
  13. 13 Interoperability for the Win
  14. 14 Challenges: Communication
  15. 15 SVD Benchmark
  16. 16 Scale up with RAPIDS
  17. 17 Road to 1.0
  18. 18 Additional Reading Material

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