Exam NCP-AIO Topic 1 Question 36 Discussion

Actual exam question for NVIDIA's NCP-AIO exam
Question #: 36
Topic #: 1

You are running a distributed training job with multiple GPUs, accessing data from a shared filesystem. Even with GPUDirect Storage (GDS) enabled, you are not seeing the expected performance gains. Using 'nvprof (or similar profiling tool), you notice significant time spent in data loading. Analyze the following code snippet and identify a potential bottleneck that could be hindering GDS performance and suggest improvements. Assume the code is simplified for clarity.

A. The large batch size is causing excessive memory allocation and contention, hindering GDS. Reduce the batch size to decrease memory pressure and allow more efficient data transfers. B. The synchronous data loading is blocking the GPU execution. Use asynchronous data loading with prefetching to overlap data transfers with computation. C. The lack of pinned memory allocation is forcing data to be copied between host and device memory, negating the benefits of GDS. Allocate data in pinned (page-locked) memory to enable direct transfers. D. The code is perfect, and there's nothing to improve. GDS always guarantees maximum performance. E. The filesystem being used doesn't support the file format the dataset is in. Switch to a different format, like HDF5.

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