フリー問題

NVIDIA-Certified Professional: Accelerated Data Science のフリー問題 12 / 20 問目

問題文

Which characteristic of a workload predicts that moving it to accelerated hardware will pay off?

選択肢

  1. The workload spends most of its time waiting on network requests, and the device can issue those requests in parallel and keep many of them outstanding at once.
  2. The workload contains many branches whose outcome depends on the value of the previous element, because handling long dependency chains efficiently is exactly what a large number of parallel execution units is designed for and the hardware resolves the dependencies automatically.
  3. The same arithmetic is applied independently to a very large number of elements, so thousands of them can be processed at the same time.
  4. The workload is small enough to fit entirely in the device's memory, regardless of how much arithmetic it performs; residency in device memory is what removes the transfer step from the critical path.

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