VB.NET在Parallel.for Synclock内部的嵌套循环中运行总和丢失信息

时间:2012-11-28 13:59:26

标签: vb.net nested floating-accuracy parallel.foreach

下面是我能够开发的用于计算嵌套在VB.NET(Visual Studio 2010,.NET Framework 4)中的Parallel.for循环内的循环内的运行总和的最佳表示。请注意,当在屏幕上显示“sum”的结果时,两个总和之间存在细微差别,因此并行化变体中的信息丢失。那么信息是如何丢失的,以及发生了什么?任何人都可以提供一些关于在这种背景下保持运行总和的方法的“显微手术”吗? (注意Parallel.for的新用户:我通常不使用从零开始的方法,因此在Parallel.for语句中,I1循环最多为101,因为代码使用101-1作为上限。这是因为假设基于零的计数器,MS开发了并行代码:

    Dim sum As Double = 0
    Dim lock As New Object
    Dim clock As New Stopwatch
    Dim i, j As Integer
    clock.Start()
    sum = 0
    For i = 1 To 100
        For j = 1 To 100
            sum += Math.Log(0.9999)
        Next j
    Next i
    clock.Stop()
    MsgBox(sum & "  " & clock.ElapsedMilliseconds)
    sum = 0
    clock.Reset()
    clock.Start()
    Parallel.For(1, 101, Sub(i1)
                             Dim temp As Double = 0
                             For j1 As Integer = 1 To 100
                                 temp += Math.Log(0.9999)
                             Next
                             SyncLock lock
                                 sum += temp
                             End SyncLock
                         End Sub)
    clock.Stop()
    MsgBox(sum & "  " & clock.ElapsedMilliseconds)    

1 个答案:

答案 0 :(得分:0)

你正在使用双打和双精简是不准确。 在非并行循环中,所有错误都直接存储在sum中。在并行循环中,您有一个额外的tmp,稍后会添加到sum中。在非并行循环中使用相同的tmp(在内循环运行后添加到sum),最终结果将等于。

 Dim sum As Double = 0
    Dim lock As New Object
    Dim clock As New Stopwatch
    Dim i, j As Integer
    clock.Start()
    sum = 0
    For i = 1 To 100
        For j = 1 To 100
            sum += Math.Log(0.9999)
        Next j
    Next i
    clock.Stop()
    Console.WriteLine(sum & "  " & clock.ElapsedMilliseconds)
    sum = 0
    clock.Reset()

    clock.Start()
    sum = 0
    For i = 1 To 100
        Dim tmp As Double = 0
        For j = 1 To 100
            tmp += Math.Log(0.9999)
        Next
        sum += tmp
    Next i
    clock.Stop()
    Console.WriteLine(sum & "  " & clock.ElapsedMilliseconds)
    sum = 0
    clock.Reset()

    clock.Start()
    Parallel.For(1, 101, Sub(i1)
                             Dim temp As Double = 0
                             For j1 As Integer = 1 To 100
                                 temp += Math.Log(0.9999)
                             Next
                             SyncLock lock
                                 sum += temp
                             End SyncLock
                         End Sub)
    clock.Stop()
    Console.WriteLine(sum & "  " & clock.ElapsedMilliseconds)

End Sub

输出:

-1,00005000333357  0
-1,00005000333347  0
-1,00005000333347  26

结论:如果你使用double,那么(a + b)+ c不是(总是)等于a +(b + c)

<强>更新

一个更简单的例子:

    Dim sum As Double
    For i = 1 To 100
        sum += 0.1
    Next
    Console.WriteLine(sum)

    sum = 0
    For i = 1 To 2
        Dim tmp As Double = 0
        For j = 1 To 50
            tmp += 0.1
        Next
        sum += tmp
    Next
    Console.WriteLine(sum)

现在输出

9,99999999999998
10