Use with Atlas300 (3000) What conditions need to be checked when the accelerator card server compiles and runs the program?

Question

Options

• Acarry out Atlas Driver Installation
• BIt has been installed CUDA Software package
• CIt has been installed Cmake Compilation tool
• DComplete environment configuration

• A
  76% (45)
• B
  24% (14)

Explanation

Running programs on the Atlas300 accelerator card requires Atlas Driver Installation (A) so the OS can communicate with Huawei's Ascend hardware, CMake (C) as the build tool to compile the program from source, and complete environment configuration (D) to ensure all paths, libraries, and runtime dependencies (like CANN/ACL frameworks) are properly set up. These three together form the full prerequisite chain: hardware recognition → build tooling → runtime environment.

Option B (CUDA) is incorrect because CUDA is NVIDIA's proprietary GPU computing platform and has no relevance to Huawei Atlas hardware, which uses Ascend AI processors with its own software stack (CANN). Selecting CUDA would indicate confusion between NVIDIA and Huawei ecosystems.

Memory tip: Think of it as three layers - Driver (hardware talks to OS), CMake (code compiles), Environment (runtime works). The mnemonic D-C-E (or "Drivers Compile Everything") covers all three correct answers, and remember: Atlas = Ascend/CANN, not CUDA.

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