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METHODOLOGY FOR FAST DETECTION OF FALSE SHARING IN THREADED SCIENTIFIC CODES

机译:快速检测螺纹科学代码中错误共享的方法

摘要

A profiling tool identifies a code region with a false sharing potential. A static analysis tool classifies variables and arrays in the identified code region. A mapping detection library correlates memory access instructions in the identified code region with variables and arrays in the identified code region while a processor is running the identified code region. The mapping detection library identifies one or more instructions at risk, in the identified code region, which are subject to an analysis by a false sharing detection library. A false sharing detection library performs a run-time analysis of the one or more instructions at risk while the processor is re-running the identified code region. The false sharing detection library determines, based on the performed run-time analysis, whether two different portions of the cache memory line are accessed by the generated binary code.
机译:配置工具可识别具有错误共享潜力的代码区域。静态分析工具将识别的代码区域中的变量和数组分类。当处理器正在运行所识别的代码区域时,映射检测库将所识别的代码区域中的存储器访问指令与所识别的代码区域中的变量和数组相关联。映射检测库在标识的代码区域中标识一个或多个有风险的指令,这些指令将受到错误共享检测库的分析。错误共享检测库在处理器重新运行标识的代码区域时对有风险的一条或多条指令执行运行时分析。错误共享检测库基于所执行的运行时分析,确定所生成的二进制代码是否访问了高速缓存存储行的两个不同部分。

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