mollusk 0e4acfb8f2 fix incorrect folder name for julia-0.6.x
Former-commit-id: ef2c7401e0876f22d2f7762d182cfbcd5a7d9c70
2018-06-11 03:28:36 -07:00

101 lines
3.5 KiB
Julia

# This file is a part of Julia. License is MIT: https://julialang.org/license
const max_ccall_threads = parse(Int, get(ENV, "UV_THREADPOOL_SIZE", "4"))
const thread_notifiers = [Nullable{Condition}() for i in 1:max_ccall_threads]
const threadcall_restrictor = Semaphore(max_ccall_threads)
function notify_fun(idx)
global thread_notifiers
notify(get(thread_notifiers[idx]))
return
end
function init_threadcall()
global c_notify_fun = cfunction(notify_fun, Void, Tuple{Cint})
end
"""
@threadcall((cfunc, clib), rettype, (argtypes...), argvals...)
The `@threadcall` macro is called in the same way as [`ccall`](@ref) but does the work
in a different thread. This is useful when you want to call a blocking C
function without causing the main `julia` thread to become blocked. Concurrency
is limited by size of the libuv thread pool, which defaults to 4 threads but
can be increased by setting the `UV_THREADPOOL_SIZE` environment variable and
restarting the `julia` process.
Note that the called function should never call back into Julia.
"""
macro threadcall(f, rettype, argtypes, argvals...)
# check for usage errors
isa(argtypes,Expr) && argtypes.head == :tuple ||
error("threadcall: argument types must be a tuple")
length(argtypes.args) == length(argvals) ||
error("threadcall: wrong number of arguments to C function")
# hygiene escape arguments
f = esc(f)
rettype = esc(rettype)
argtypes = map(esc, argtypes.args)
argvals = map(esc, argvals)
# construct non-allocating wrapper to call C function
wrapper = :(function wrapper(args_ptr::Ptr{Void}, retval_ptr::Ptr{Void})
p = args_ptr
end)
body = wrapper.args[2].args
args = Symbol[]
for (i,T) in enumerate(argtypes)
arg = Symbol("arg", i)
push!(body, :($arg = unsafe_load(convert(Ptr{$T}, p))))
push!(body, :(p += sizeof($T)))
push!(args, arg)
end
push!(body, :(ret = ccall($f, $rettype, ($(argtypes...),), $(args...))))
push!(body, :(unsafe_store!(convert(Ptr{$rettype}, retval_ptr), ret)))
push!(body, :(return sizeof($rettype)))
# return code to generate wrapper function and send work request thread queue
:(let
$wrapper
do_threadcall(wrapper, $rettype, Any[$(argtypes...)], Any[$(argvals...)])
end)
end
function do_threadcall(wrapper::Function, rettype::Type, argtypes::Vector, argvals::Vector)
# generate function pointer
fun_ptr = cfunction(wrapper, Int, Tuple{Ptr{Void}, Ptr{Void}})
# cconvert, root and unsafe_convert arguments
roots = Any[]
args_size = isempty(argtypes) ? 0 : sum(sizeof, argtypes)
args_arr = Vector{UInt8}(args_size)
ptr = pointer(args_arr)
for (T, x) in zip(argtypes, argvals)
y = cconvert(T, x)
push!(roots, y)
unsafe_store!(convert(Ptr{T}, ptr), unsafe_convert(T, y))
ptr += sizeof(T)
end
# create return buffer
ret_arr = Vector{UInt8}(sizeof(rettype))
# wait for a worker thread to be available
acquire(threadcall_restrictor)
idx = findfirst(isnull, thread_notifiers)
thread_notifiers[idx] = Nullable{Condition}(Condition())
# queue up the work to be done
ccall(:jl_queue_work, Void,
(Ptr{Void}, Ptr{UInt8}, Ptr{UInt8}, Ptr{Void}, Cint),
fun_ptr, args_arr, ret_arr, c_notify_fun, idx)
# wait for a result & return it
wait(get(thread_notifiers[idx]))
thread_notifiers[idx] = Nullable{Condition}()
release(threadcall_restrictor)
unsafe_load(convert(Ptr{rettype}, pointer(ret_arr)))
end