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addressing issue #17 : https://github.com/ocaml-multicore/parallel-programming-in-multicore-ocaml/issues/17 #19
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@@ -19,7 +19,7 @@ following sections: | |
* [Task Distribution using Channels](#task-distribution-using-channels) | ||
- [Profiling your code](#profiling-your-code) | ||
* [Perf](#perf) | ||
* [Eventlog](#eventlog) | ||
* [Olly](#olly) | ||
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# Introduction | ||
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@@ -864,7 +864,7 @@ $ ocaml-eventlog-pausetimes caml-10599-0.eventlog caml-10599-2.eventlog caml-105 | |
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**Diagnose Imbalance in Task Distribution** | ||
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*Eventlog* can be useful to find imbalance in task distribution | ||
*Eventlog*(for OCaml versions < 5.0) can be useful to find imbalance in task distribution | ||
in a parallel program. Imbalance in task distribution essentially means that | ||
not all domains are provided with equal amount of computation to perform, so some | ||
domains take longer than others to finish their computations, while the idle domains | ||
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@@ -885,6 +885,17 @@ So far we've only found an imbalance in task distribution | |
in the code, so we'll need to change our code accordingly to make the task | ||
distribution more balanced, which could increase the speedup. | ||
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If you're running OCaml version > 5.0, you can use Olly to summarize data from runtime events. | ||
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*Olly* Olly is part of the `runtime_events_tools` package. Install Olly on your switch using `opam install runtime_event_tools`. | ||
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Olly can be used in the following manner `olly trace program_trace.json 'program.exe [args]'`. The json file can then be viewed in your browser. | ||
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Olly also allows you to measure the GC latency and view a parseable histogram summary of pause durations. Latency can be measured using | ||
`olly latency 'program.exe [args]'`. | ||
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For more information on runtime instrumentation, please refer here : https://v2.ocaml.org/manual/runtime-tracing.html | ||
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--- | ||
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Performace debugging can be quite tricky at times, so if you could use some help in | ||
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olly has two modes now, json and fuchsia.