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How to slow down a program and why it can be useful
Making programs slower can be useful to find...
Even better, when we look at the Towers benchmark with the async-profiler for HotSpot, and compare the proportions of run time it attributes to each method, the slowed-down and the normal version match almost perfectly, as illustrated below. Slowing down programs has surprisingly many use cases: it helps finding race conditions, enables speedup estimation, and allows us to assess a profiler’s accuracy. We tested each candidate’s ability to achieve an overhead of 100%, to maintain the profiler-observable performance behavior, and whether slowdown placement within basic blocks influences results.
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