Parallel processing 如何使用remotecall_fetch（Julia-parallel）调用函数

我想在进程2上运行一个简单的函数。所以我定义了如下函数：

julia> f(x,y) = x+y
f (generic function with 1 method)

julia> @everywhere f(x,y)=x+y

然后我想在进程2上执行此操作，但出现了一个错误：

julia> remotecall_fetch(f,2,1,1)
ERROR: On worker 2:
UndefVarError: #f not defined
deserialize_datatype at ./serialize.jl:969
handle_deserialize at ./serialize.jl:674
deserialize at ./serialize.jl:634
handle_deserialize at ./serialize.jl:681
deserialize_msg at ./distributed/messages.jl:98
message_handler_loop at ./distributed/process_messages.jl:161
process_tcp_streams at ./distributed/process_messages.jl:118
#99 at ./event.jl:73
Stacktrace:
 [1] #remotecall_fetch#141(::Array{Any,1}, ::Function, ::Function, ::Base.Distributed.Worker, ::Int64, ::Vararg{Int64,N} where N) at ./distributed/remotecall.jl:354
 [2] remotecall_fetch(::Function, ::Base.Distributed.Worker, ::Int64, ::Vararg{Int64,N} where N) at ./distributed/remotecall.jl:346
 [3] #remotecall_fetch#144(::Array{Any,1}, ::Function, ::Function, ::Int64, ::Int64, ::Vararg{Int64,N} where N) at ./distributed/remotecall.jl:367
 [4] remotecall_fetch(::Function, ::Int64, ::Int64, ::Vararg{Int64,N} where N) at ./distributed/remotecall.jl:367

我知道我们可以这样定义函数：

julia> f(x,y) = x+y
f (generic function with 1 method)

julia> @everywhere f(x,y)=x+y

然后我们可以得到结果：

julia> remotecall_fetch(f,2,3,4)
7

实际上，我不知道如何通过

Include

或

使用

.
@everywhere
是正确使用的宏。对于模块，只需使用MyModule执行
@everywhere，模块
MyModule
中的所有导出函数将可用于所有工作进程。
@everywhere
是正确的宏。对于模块，只需使用MyModule在任何地方执行
，模块
MyModule
中导出的所有函数将可用于所有工作进程