QuestionQ15

Core Machine Learning and AI Knowledge

You are using RAPIDS and Python for a data-analysis project. Which pair of statements best describes how RAPIDS accelerates data science?

  • A RAPIDS enables on-GPU processing of computationally expensive calculations and minimizes CPU-GPU memory transfers.
  • B RAPIDS focuses on CPU processing, providing faster speeds compared to traditional Python libraries.
  • C RAPIDS is a Python library that provides functions to accelerate the PCIE bus throughput via word-doubling.
  • D RAPIDS provides lossless compression of CPU-GPU memory transfers to speed up data analysis.
Explanation

RAPIDS provides GPU-accelerated data-science libraries that use optimized CUDA primitives and GPU memory for end-to-end processing. Performing expensive work on the GPU and avoiding unnecessary CPU–GPU data movement reduces transfer overhead and improves performance.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!