Significant Performance Variability Across Nodes in Spark Cluster with Version 0.5.0
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- 主要语言
- Java
- 星标
- 928
- 派生
- 227
- PR 合并指标
- 30 天内没有已合并 PR
描述
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.
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调研方向
未指定源文件、测试或入口点。首先比较受影响的 Spark 节点及其 CPU 类型之间版本 0.5.0 的构建和任务执行；完成的标准是确定编译或 CPU 特定优化是否解释了所报告的差异。
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评估
- 技术栈
- java, spark, tensorflow
- 领域
- distributed-systems, performance
- Issue 类型
- 缺陷
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 需要澄清
- 新手友好度
- 25/100