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When utilizing SparkTrials on GPU-enabled clusters, what is the recommended approach for configuring parallelism to ensure optimal performance and avoid conflicts?
A
GPU clusters automatically adjust parallelism based on SparkTrials configuration, requiring no manual intervention.
B
For GPU clusters, it's best to configure parallelism to match the number of GPU-enabled instances, preventing task conflicts.
C
GPU clusters utilize maximum parallelism by default, eliminating the need for specific configuration adjustments.
D
Optimal performance on GPU clusters is achieved by using multiple executor threads per node for enhanced parallelism.
