Re:CSV Reader Benchmarks: Julia Reads CSVs 10-20x Faster tha...
by ViralBShah on Sunday October 11, 2020 @09:14PM
(#24750559)
There are 3 different phases:
1. Precompilation time: Only once when you install or upgrade a package.
2. First running time (that includes compilation time): When you call a function like `plot` the first time in a session
3. Second and subsequent running times: The compiled code is now in the cache, and what you see is the actual running time.
Thus what you are reporting here as precompilation (1) is not something that a user will see every time. What they will see is (2) for the first time in a session and (3) on subsequent plots. Could you confirm this is what you see - to ensure that those following along understand the terminology?
Here are the usage times I see when I use Plots on a daily basis in a Julia session:
julia> @time using Plots
11.341632 seconds (20.21 M allocations: 1.108 GiB, 2.87% gc time)
julia> @time plot(1:10,1:10)
2.291147 seconds (3.24 M allocations: 165.569 MiB, 7.80% gc time)
(Another 2 seconds for the window to be drawn the first time on mac)
julia> @time plot(1:10,1:10)
0.000763 seconds (2.80 k allocations: 166.023 KiB)
1. Precompilation time: Only once when you install or upgrade a package.
2. First running time (that includes compilation time): When you call a function like `plot` the first time in a session
3. Second and subsequent running times: The compiled code is now in the cache, and what you see is the actual running time.
Thus what you are reporting here as precompilation (1) is not something that a user will see every time. What they will see is (2) for the first time in a session and (3) on subsequent plots. Could you confirm this is what you see - to ensure that those following along understand the terminology?
Here are the usage times I see when I use Plots on a daily basis in a Julia session:
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