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Add a preference to disable Polyester (#2029)
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* Add preference to disable Polyester usage

Co-authored-by: Hendrik Ranocha <[email protected]>

* Apply suggestions from code review

Co-authored-by: Joshua Lampert <[email protected]>

---------

Co-authored-by: Hendrik Ranocha <[email protected]>
Co-authored-by: Joshua Lampert <[email protected]>
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3 people committed Aug 5, 2024
1 parent ed97031 commit 50cf879
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Showing 5 changed files with 43 additions and 29 deletions.
1 change: 1 addition & 0 deletions src/Trixi.jl
Original file line number Diff line number Diff line change
Expand Up @@ -80,6 +80,7 @@ using Preferences: @load_preference, set_preferences!

const _PREFERENCE_SQRT = @load_preference("sqrt", "sqrt_Trixi_NaN")
const _PREFERENCE_LOG = @load_preference("log", "log_Trixi_NaN")
const _PREFERENCE_POLYESTER = @load_preference("polyester", true)

# finite difference SBP operators
using SummationByPartsOperators: AbstractDerivativeOperator,
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51 changes: 23 additions & 28 deletions src/auxiliary/auxiliary.jl
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Expand Up @@ -204,36 +204,31 @@ Some discussion can be found at [https://discourse.julialang.org/t/overhead-of-t
and [https://discourse.julialang.org/t/threads-threads-with-one-thread-how-to-remove-the-overhead/58435](https://discourse.julialang.org/t/threads-threads-with-one-thread-how-to-remove-the-overhead/58435).
"""
macro threaded(expr)
# Use `esc(quote ... end)` for nested macro calls as suggested in
# https://github.com/JuliaLang/julia/issues/23221
#
# The following code is a simple version using only `Threads.@threads` from the
# standard library with an additional check whether only a single thread is used
# to reduce some overhead (and allocations) for serial execution.
#
# return esc(quote
# let
# if Threads.nthreads() == 1
# $(expr)
# else
# Threads.@threads $(expr)
# end
# end
# end)
#
# However, the code below using `@batch` from Polyester.jl is more efficient,
# since this packages provides threads with less overhead. Since it is written
# by Chris Elrod, the author of LoopVectorization.jl, we expect this package
# to provide the most efficient and useful implementation of threads (as we use
# them) available in Julia.
# !!! danger "Heisenbug"
# Look at the comments for `wrap_array` when considering to change this macro.

# By using `Trixi.@batch` we allow users of Trixi.jl to use `@threaded` without having
# Polyester.jl in their namespace.
return esc(quote
Trixi.@batch $(expr)
end)
expr = if _PREFERENCE_POLYESTER
# Currently using `@batch` from Polyester.jl is more efficient,
# bypasses the Julia task scheduler and provides parallelization with less overhead.
quote
$Trixi.@batch $(expr)
end
else
# The following code is a simple version using only `Threads.@threads` from the
# standard library with an additional check whether only a single thread is used
# to reduce some overhead (and allocations) for serial execution.
quote
let
if $Threads.nthreads() == 1
$(expr)
else
$Threads.@threads :static $(expr)
end
end
end
end
# Use `esc(quote ... end)` for nested macro calls as suggested in
# https://github.com/JuliaLang/julia/issues/23221
return esc(expr)
end

"""
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15 changes: 15 additions & 0 deletions src/auxiliary/math.jl
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Expand Up @@ -7,6 +7,21 @@

const TRIXI_UUID = UUID("a7f1ee26-1774-49b1-8366-f1abc58fbfcb")

"""
Trixi.set_polyester!(toggle::Bool; force = true)
Toggle the usage of [Polyester.jl](https://github.com/JuliaSIMD/Polyester.jl) for multithreading.
By default, Polyester.jl is enabled, but it can
be useful for performance comparisons to switch to the Julia core backend.
This does not fully disable Polyester.jl,
buy only its use as part of Trixi.jl's `@threaded` macro.
"""
function set_polyester!(toggle::Bool; force = true)
set_preferences!(TRIXI_UUID, "polyester" => toggle, force = force)
@info "Please restart Julia and reload Trixi.jl for the `polyester` change to take effect"
end

"""
Trixi.set_sqrt_type(type; force = true)
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3 changes: 3 additions & 0 deletions src/callbacks_step/summary.jl
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Expand Up @@ -207,6 +207,9 @@ function initialize_summary_callback(cb::DiscreteCallback, u, t, integrator;

# technical details
setup = Pair{String, Any}["#threads" => Threads.nthreads()]
if !_PREFERENCE_POLYESTER
push!(setup, "Polyester" => "disabled")
end
if mpi_isparallel()
push!(setup,
"#MPI ranks" => mpi_nranks())
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2 changes: 1 addition & 1 deletion src/solvers/dg.jl
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Expand Up @@ -629,7 +629,7 @@ end
# since LoopVectorization does not support `ForwardDiff.Dual`s. Hence, we use
# optimized `PtrArray`s whenever possible and fall back to plain `Array`s
# otherwise.
if LoopVectorization.check_args(u_ode)
if _PREFERENCE_POLYESTER && LoopVectorization.check_args(u_ode)
# This version using `PtrArray`s from StrideArrays.jl is very fast and
# does not result in allocations.
#
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