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Dev #177
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The `Render$render` method is used throughout a simulation to store data that needs outputting at the end. It does so by creating a vector per metric, large enough to fit all timesteps. Unfortunately, each time the `render` method is called, the assignment into the vector actually creates a new copy, instead of modifying it in-place. For long simulations (ie. tens of thousands of timesteps), these vectors are both fairly large and get copied over and over again at each timestep, to the point where the `render` method dominates the execution time. The core of the problem can easily be reproduced by recreating the same conditions of the `Render` class, using a vector stored inside of an environment: ```r e <- new.env(parent=emptyenv()) e$vector = rep(0, 10) tracemem(e$vector) # [1] "<0x56313d8a4c80>" e$vector[[0]] <- 1 # tracemem[0x56313d8a4c80 -> 0x56314180ff60]: e$vector[[1]] <- 1 # tracemem[0x56314180ff60 -> 0x563141613fc0]: e$vector[[2]] <- 1 # tracemem[0x563141613fc0 -> 0x563141984b10]: ``` Here `e` mirrors the `private` environment of the `Render` class, as it would be constructed by R6. The `tracemem` call is used to trace copies of the vector. Each subsequent assignment to the vector creates a new copy of it, which can be seen as tracemem lines in the console. I did experiment with ways of avoiding the copies without resorting to C++ code, but I couldn't find anything that wasn't made of horrible hacks. The patch here fixes this issue by creating a C++ class, that acts as a thin wrapper around a vector. Thanks to this indirection, the vector is guarateed to have reference semantics and be modified in-place. A method exists on the wrapper class to extract the underlying vector. This does incur a copy, but is only expected to be called once (per vector), at the end of the simulation. For large runs, this change has a dramatic effect of the performance of the end-to-end simulation. Using malariasimulation as a benchmark: ```r # Before the change system.time(run_simulation(timesteps = 50000)) # user system elapsed # 334.662 0.604 335.253 # Afterwards system.time(run_simulation(timesteps = 50000)) # user system elapsed # 134.270 0.008 134.271 ``` The impact is much less noticeable are shorter runs, since the vectors being copied are much smaller (on the order of 20% improvement for a 10'000 time steps run, 5% for 5'000 time steps).
Speedup render by avoiding repeated vector copies.
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## master #177 +/- ##
==========================================
+ Coverage 95.86% 96.28% +0.41%
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Files 34 36 +2
Lines 1717 1722 +5
==========================================
+ Hits 1646 1658 +12
+ Misses 71 64 -7 ☔ View full report in Codecov by Sentry. |
plietar
approved these changes
Dec 27, 2023
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Yes, all good thanks!
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Hey @plietar, just wanted to make sure you're happy with how you're listed in Authors before I release.