DifferentialEquations Package Kills Performance Everywhere

[leespen1]

After loading the DifferentialEquations.jl package in the REPL, Julia seems to start performing very slowly, possibly only when text is output to the REPL, but in a way that makes the REPL extremely frustrating to use. Starting from a fresh Julia REPL session, I perform the following operations:

julia> @time a = [1,2,3,4]
  0.000009 seconds (1 allocation: 96 bytes)
4-element Vector{Int64}:
 1
 2
 3
 4

julia> using DifferentialEquations

julia> @time a = [1,2,3,4]
  0.000003 seconds (1 allocation: 96 bytes)
4-element Vector{Int64}:
 1
 2
 3
 4

julia> 

The first @time a = [1,2,3,4] is nearly instantaneous, as I would expect. But after using DifferentialEquations (which itself takes 30-60 seconds), nearly 10 seconds elapse between hitting enter after @time a = [1,2,3,4] and when I am able to type in the REPL again.

This is especially bad when an exception occurs. The stacktrace output can take over a minute to finish.

Why is the inclusion of the DifferentialEquations package so dramatically affecting the performance of seemingly unrelated operations, including those in Base? I have observed this behavior on two computers.

[devmotion]

I assume this is the same as SciML/DiffEqBase.jl#895 and SciML/SciMLBase.jl#409: the show(::IO, ::Type{<:MyType}) implementations (via TruncatedStacktraces) cause a lot of invalidations.

[ChrisRackauckas]

Fixed by making stacktraces huge.