Reputation: 890
Creating a Parallel.ForEach expression of this form:
let low = max 1 (k-m)
let high = min (k-1) n
let rangesize = (high+1-low)/(PROCS*3)
Parallel.ForEach(Partitioner.Create(low, high+1, rangesize), (fun j ->
let i = k - j
if x.[i-1] = y.[j-1] then
a.[i] <- b.[i-1] + 1
else
a.[i] <- max c.[i] c.[i-1]
)) |> ignore
Causes me to receive the error: No overloads match for method 'ForEach'. However I am using the Parallel.ForEach<TSource>
Method (Partitioner<TSource>, Action<TSource>
) and it seems right to me. Am I missing something?
Edited: I am trying to obtain the same results as the code below (that does not use a Partitioner):
let low = max 1 (k-m)
let high = min (k-1) n
let rangesize = (high+1-low)/(PROCS*3)
let A = [| low .. high |]
Parallel.ForEach(A, fun (j:int) ->
let i = k - j
if x.[i-1] = y.[j-1] then
a.[i] <- b.[i-1] + 1
else
a.[i] <- max c.[i] c.[i-1]
) |> ignore
Upvotes: 1
Views: 613
Reputation: 243096
Are you sure that you have opened all necessary namespaces, all the values you are using (low
, high
and PROCS
) are defined and that your code does not accidentally redefine some of the names that you're using (like Partitioner
)?
I created a very simple F# script with this code and it seems to be working fine (I refactored the code to create a partitioner called p
, but that does not affect the behavior):
open System.Threading.Tasks
open System.Collections.Concurrent
let PROCS = 10
let low, high = 0, 100
let p = Partitioner.Create(low, high+1, high+1-low/(PROCS*3))
Parallel.ForEach(p, (fun j ->
printfn "%A" j // Print the desired range (using %A as it is a tuple)
)) |> ignore
It is important that the value j
is actually a pair of type int * int
, so if the body uses it in a wrong way (e.g. as an int
), you will get the error. In that case, you can add a type annotation to j
and you would get a more useful error elsewhere:
Parallel.ForEach(p, (fun (j:int * int) ->
printfn "%d" j // Error here, because `j` is used as an int, but it is a pair!
)) |> ignore
This means that if you want to perform something for all j
values in the original range, you need to write something like this:
Parallel.ForEach(p, (fun (loJ, hiJ) ->
for j in loJ .. hiJ - 1 do // Iterate over all js in this partition
printfn "%d" j // process the current j
)) |> ignore
Aside, I guess that the last argument to Partitioner.Create
should actually be (high+1-low)/(PROCS*3)
- you probably want to divide the total number of steps, not just the low
value.
Upvotes: 3