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An approach to heterogeneous process state capture/recovery to achieve minimum performance overhead during normal execution

机译:一种在正常执行期间实现最低性能开销的异构过程状态捕获/恢复的方法

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摘要

A major issue of process state capture in heterogeneous computing systems is capture initiation. Current approaches incur significant performance overhead during normal execution of the process (i.e., when state capture/recovery is not being performed) in order to ensure proper initiation of state capture. This is because of their introduction of instructions into the user code, either to poll for a capture request, or to ensure correctness of self-modifying code in the case of a poll-free mechanism. In this paper, we propose a fundamentally new approach to heterogeneous process state capture and recovery that achieves minimum performance overhead during normal execution by obviating the introduction of such instructions. In the case of high-performance computing applications, the performance gain thus achieved $especially within critical loops - would be significant. Also, our solution is suitable for effectively enabling all potential points of equivalence present in a computation if minimal latency is desired.
机译:异构计算系统中过程状态捕获的主要问题是捕获启动。当前的方法在过程的正常执行期间(即,当不执行状态捕获/恢复时)招致显着的性能开销,以确保状态捕获的正确启动。这是因为在无轮询机制的情况下,它们将指令引入用户代码中,以轮询捕获请求,或确保自修改代码的正确性。在本文中,我们提出了一种从根本上针对异构过程状态捕获和恢复的新方法,该方法通过避免引入此类指令来在正常执行期间实现最低性能开销。在高性能计算应用程序的情况下,由此获得的性能提升尤其是在关键循环内将是非常重要的。同样,如果需要最小的等待时间,我们的解决方案适用于有效地启用计算中存在的所有可能的等效点。

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