Administrator Guide

Technical Resources
34 RAPIDS Scaling on Dell EMC PowerEdge Servers
K Technical Resources
https://rapids.ai/
https://www.dellemc.com/en-us/index.htm
https://www.dell.com/support/article/us/en/19/sln311501/high-performance-computing?lang=en
https://www.dellemc.com/en-us/servers/server-accelerators.htm
K.1 Related Resources
• [1] RAPIDS Datasets Homepage. https://console.cloud.google.com/storage/browser/anaconda-public-
data/nyc-taxi/csv
• [2] RMM: RAPIDS Memory Manager. https://github.com/rapidsai/rmm
• [3] Single Node Multi-GPU. https://xgboost.readthedocs.io/en/latest/gpu/#single-node-multi-gpu
• [4] Local Cluster. http://distributed.dask.org/en/latest/local-cluster.html
• [5] Dask and XGBoost. https://dask-ml.readthedocs.io/en/stable/examples/xgboost.html
• [6] XGBoost with Rapids – Nvidia webinar
• [7] Setting Dask in muti-node mode. https://docs.dask.org/en/latest/scheduling.html
• [8] Dask High Performance Computers https://docs.dask.org/en/latest/setup/hpc.html
• [9] Remote Data http://docs.dask.org/en/latest/remote-data-services.html#
• [10] Common Errors https://docs.rapids.ai/containers/rapids-demo#common-errors
• [11] Dask Worker Memory Management. http://distributed.dask.org/en/latest/worker.html#memory-
management
• [12] Dask Dashboard Walkthrough. http://distributed.dask.org/en/latest/web.html
• [13] RAPIDS NGC https://ngc.nvidia.com/catalog/containers/nvidia:rapidsai:rapidsai
© 2019 Dell Inc. or its subsidiaries. All Rights Reserved. Dell, EMC and other trademarks are trademarks of Dell
Inc. or its subsidiaries. Other trademarks may be trademarks of their respective owners.