Significant Performance Variability Across Nodes in Spark Cluster with Version 0.5.0

I've been using version 0.5.0 and observed some performance inconsistencies across different nodes in my Spark cluster. Specifically, some nodes execute tasks significantly faster than others, with the difference in execution times ranging from tens to thousands of times slower on certain nodes.
Given this situation, I'm curious to know if there are any CPU-specific optimizations made during the compilation of this library. For instance, are there optimizations that favor Intel CPUs over AMD CPUs, which might explain the observed performance disparity?
Any insights or suggestions on this matter would be greatly appreciated.

ソースファイル、テスト、エントリポイントは指定されていません。まず、影響を受ける Spark ノード間およびそれらの CPU タイプ間で、バージョン 0.5.0 のビルドとタスク実行を比較します。コンパイルまたは CPU 固有の最適化が報告された変動性を説明するかどうかを特定できれば完了です。