Which two statements describe a feature of a GPU? (Select 2)

Question

Options

• AGPUs can be dynamically reprogrammed with a data path.
• BCPUs and GPUs perform the same types of tasks.
• CA GPU has thousands of cores for efficient execution of parallel functions.
• DGPUs handle compute-intensive parts of applications to assist CPUs.

• A
  8% (3)
• B
  3% (1)
• C
  89% (32)

Explanation

GPUs are designed with thousands of smaller, specialized cores (C) that excel at running many operations simultaneously - this massive parallelism is their defining architectural trait. They offload compute-heavy workloads like graphics rendering, AI inference, and scientific simulation from the CPU (D), letting each processor focus on what it does best.

Why the distractors are wrong:

• A describes an FPGA (Field-Programmable Gate Array), not a GPU - FPGAs can be rewired via hardware description languages after manufacturing.
• B is the opposite of true: CPUs and GPUs are architecturally complementary, not equivalent - CPUs have fewer, faster cores optimized for sequential logic; GPUs have thousands of slower cores optimized for parallel throughput.

Memory tip: Think GPU = Giant Parallel Unit - thousands of cores working in parallel, handling the heavy lifting so the CPU doesn't have to.

No community discussion yet for this question.