Inlining Code Test

Craig Black craigblack2 at cox.net
Sun Dec 12 20:35:19 PST 2010


Try it without -profile.  That tends to slow everything down to a halt.

-Craig

"Andrej Mitrovic" <andrej.mitrovich at gmail.com> wrote in message 
news:mailman.948.1292198993.21107.digitalmars-d at puremagic.com...
> My crappy old Pentium 4 has gone totally mad:
>
> Sorting with Array.opIndex: 45080
> Sorting with pointers: 45608
> 4.092e+16 percent faster (??)
>
> Compiled with dmd -profile -O -release -inline -noboundscheck
>
> On 12/13/10, Iain Buclaw <ibuclaw at ubuntu.com> wrote:
>> == Quote from Craig Black (craigblack2 at cox.net)'s article
>>> The following program illustrates the problems with inlining in the dmd
>>> compiler.  Perhaps with some more work I can reduce it to a smaller test
>>> case.  I was playing around with a simple Array template, and noticed 
>>> that
>>> similar C++ code performs much better.  This is due, at least in part, 
>>> to
>>> opIndex not being properly inlined by dmd.  There are two sort 
>>> functions,
>>> quickSort1 and quickSort2.  quickSort1 indexes an Array data structure.
>>> quickSort2 indexes raw pointers.  quickSort2 is roughly 20% faster on my
>>> core i7.
>>> import std.stdio;
>>> import std.date;
>>> import std.random;
>>> import std.conv;
>>> import std.algorithm;
>>> import std.range;
>>> struct Array(T)
>>> {
>>> public:
>>>   this(int length) { resize(length); }
>>>   this(T[] a) { append(a); }
>>>   this(this)
>>>   {
>>>     if(!base.array) return;
>>>     ArrayBase!T old;
>>>     old = base;
>>>     base.array = null;
>>>     reserve(old.length(), old.length());
>>>     copyData(old);
>>>     old.array = null;
>>>   }
>>>   void clear() { base.clear(); }
>>>   void resize(int sz)
>>>   {
>>>     assert(sz >= 0);
>>>     if(sz == 0) return clear();
>>>     if(!base.array) reserve(sz, sz);
>>>     *base.lengthPtr() = sz;
>>>   }
>>>   void reserve(int capacity, int length)
>>>   {
>>>     assert(length <= capacity);
>>>     if(capacity == 0) return clear();
>>>     ArrayBase!T old;
>>>     if(base.array)
>>>     {
>>>       if(base.capacity() >= capacity) return;
>>>       old.array = base.array;
>>>       base.array = null;
>>>     }
>>>     base.array = cast(ubyte*)(new ubyte[capacity*T.sizeof+8]);
>>>     *base.lengthPtr() = length;
>>>     *base.capacityPtr() = capacity;
>>>     for(int i = 0; i < capacity; i++) emplace!T(base.data()+i);
>>>     if(old.array) copyData(old);
>>>   }
>>>   int length() const { return base.length(); }
>>>   int capacity() const { return base.capacity(); }
>>>   bool empty() const { return base.array == null; }
>>>   ref T at(int i)
>>>   {
>>>     assert(!empty(), "Array of " ~ T.stringof ~ ": index " ~ 
>>> to!string(i)
>>> ~
>>> " out of bounds of empty array");
>>>     assert(i >= 0 && i < length(), "Array of " ~ T.stringof ~ ": index " 
>>> ~
>>> to!string(i) ~ " out of bounds 0-" ~ to!string(length()-1));
>>>     return base.data()[i];
>>>   }
>>>   ref const T at(int i) const
>>>   {
>>>     assert(!empty(), "Array of " ~ T.stringof ~ ": index " ~ 
>>> to!string(i)
>>> ~
>>> " out of bounds of empty array");
>>>     assert(i >= 0 && i < length(), "Array of " ~ T.stringof ~ ": index " 
>>> ~
>>> to!string(i) ~ " out of bounds 0-" ~ to!string(length()-1));
>>>     return base.data()[i];
>>>   }
>>>   const ref T opIndex(int i) const { return at(i); }
>>>   void opIndexAssign(T t, int i) { at(i) = t; }
>>>   void opIndexAssign(ref T t, int i) { at(i) = t; }
>>>   void opAssign(ref const Array!T array)
>>>   {
>>>     copy(array);
>>>   }
>>>   void opAssign(T[] array)
>>>   {
>>>     int len = array.length;
>>>     resize(len);
>>>     for(int i = 0; i < len; i++) at(i) = array[i];
>>>   }
>>>   void copy(ref const Array!T array)
>>>   {
>>>     if(array.empty()) return clear();
>>>     int len = array.length();
>>>     reserve(len, len);
>>>     for(int i = 0; i < len; i++) at(i) = array[i];
>>>   }
>>>   void opOpAssign(string op, A...)(A a) if(op == "~")
>>>   {
>>>     appendComposite(a);
>>>   }
>>>   ref T front() { return at(0); }
>>>   const ref T front() const { return at(0); }
>>>   ref T back() { return at(length()-1); }
>>>   const ref T back() const { return at(length()-1); }
>>>   ref T appendOne()
>>>   {
>>>     int sz = length();
>>>     int sp = capacity();
>>>     if(sp > sz) (*base.lengthPtr())++;
>>>     else
>>>     {
>>>       sz++;
>>>       sp = max(2, sp+sp/2, sz);
>>>       reserve(sp, sz);
>>>     }
>>>     return back();
>>>   }
>>>   void append(A...)(A a)
>>>   {
>>>     static if(a.length == 1 && (is(typeof(a[0]) == Array!T) ||
>>> is(typeof(a[0]) == T[])))
>>>     {
>>>       appendComposite(a[0]);
>>>     } else {
>>>       appendTuple(a);
>>>     }
>>>   }
>>>   void appendTuple(A...)(A a)
>>>   {
>>>     foreach(x; a) appendOne() = x;
>>>   }
>>>   void appendComposite(A)(A a)
>>>   {
>>>     int prevLen = length();
>>>     resize(prevLen + a.length);
>>>     for(int i = 0; i < a.length; i++) at(i+prevLen) = a[i];
>>>   }
>>> private:
>>>       static struct ArrayBase(T)
>>>       {
>>>       public:
>>>             ~this() { clear(); }
>>>             void clear() { if(array) delete array; }
>>>             int length() const { return array ? *lengthPtr() : 0; }
>>>             int capacity() const { return array ? *capacityPtr() : 0; }
>>>             int* lengthPtr() const { return cast(int*)(array); }
>>>             int* capacityPtr() const { return cast(int*)(array+4); }
>>>             T* data() const { return cast(T*)(array+8); }
>>>             ubyte* array;
>>>       }
>>>   ArrayBase!T base;
>>>   void copyData(ref ArrayBase!T array)
>>>   {
>>>     int copyLen = min(length, array.length());
>>>     for(int i = 0; i < copyLen; i++) { at(i) = array.data()[i]; }
>>>   }
>>> }
>>> static bool less(T)(T a, T b) { return a < b; }
>>> void insertionSort1(T, alias L = less!T)(ref Array!T a, int low, int 
>>> high)
>>> {
>>>   for(int i = low; i <= high; i++)
>>>   {
>>>     int min = i;
>>>     for(int j = i + 1; j <= high; j++)
>>>       if(L(a[j], a[min])) min = j;
>>>     swap(a[i], a[min]);
>>>   }
>>> }
>>> int partition1(T, alias L = less!T)(ref Array!T a, int p, int r)
>>> {
>>>       T x = a[r];
>>>       int j = p - 1;
>>>       for (int i = p; i < r; i++)
>>>       {
>>>             if (L(x, a[i])) continue;
>>>             swap(a[i], a[++j]);
>>>       }
>>>       a[r] = a[j + 1];
>>>       a[j + 1] = x;
>>>       return j + 1;
>>> }
>>> void quickSort1(T, alias L = less!T)(ref Array!T a, int p, int r)
>>> {
>>>   if(p + 7 > r) return insertionSort1!(T, L)(a, p, r);
>>>   if (p < r)
>>>       {
>>>             int q = partition1!(T, L)(a, p, r);
>>>             quickSort1!(T, L)(a, p, q - 1);
>>>             quickSort1!(T, L)(a, q + 1, r);
>>>       }
>>> }
>>> void sort1(T, alias L = less!T)(ref Array!T a) { quickSort1!(T, L)(a, 0,
>>> a.length()-1); }
>>> void insertionSort2(T, alias L = less!T)(T *a, int low, int high)
>>> {
>>>   for(int i = low; i <= high; i++)
>>>   {
>>>     int min = i;
>>>     for(int j = i + 1; j <= high; j++)
>>>       if(L(a[j], a[min])) min = j;
>>>     swap(a[i], a[min]);
>>>   }
>>> }
>>> int partition2(T, alias L = less!T)(T *a, int p, int r)
>>> {
>>>       T x = a[r];
>>>       int j = p - 1;
>>>       for (int i = p; i < r; i++)
>>>       {
>>>             if (L(x, a[i])) continue;
>>>             swap(a[i], a[++j]);
>>>       }
>>>       a[r] = a[j + 1];
>>>       a[j + 1] = x;
>>>       return j + 1;
>>> }
>>> void quickSort2(T, alias L = less!T)(T *a, int p, int r)
>>> {
>>>   if(p + 7 > r) return insertionSort2!(T, L)(a, p, r);
>>>   if (p < r)
>>>       {
>>>             int q = partition2!(T, L)(a, p, r);
>>>             quickSort2!(T, L)(a, p, q - 1);
>>>             quickSort2!(T, L)(a, q + 1, r);
>>>       }
>>> }
>>> void sort2(T, alias L = less!T)(T *a, int length) { quickSort2!(T, L)(a,
>>> 0,
>>> length-1); }
>>> double[] vals;
>>> void bench1()
>>> {
>>>   Array!double v;
>>>   for(int i = 0; i < 100; i++)
>>>   {
>>>     v = vals;
>>>     sort1(v);
>>>   }
>>> }
>>> void bench2()
>>> {
>>>   Array!double v;
>>>   for(int i = 0; i < 100; i++)
>>>   {
>>>     v = vals;
>>>     sort2(&v[0], v.length);
>>>   }
>>> }
>>> void main()
>>> {
>>>   Mt19937 gen;
>>>   vals.length = 1000;
>>>   for(int i = 0; i < 1000; i++) vals[i] = uniform(0.0,1000.0);
>>>   ulong[] times = [0, 0];
>>>   for(int i = 0; i < 100; i++)
>>>   {
>>>     auto times2 = benchmark!(bench1, bench2)(1);
>>>     times[0] += times2[0];
>>>     times[1] += times2[1];
>>>   }
>>>   writeln("Sorting with Array.opIndex: ", times[0]);
>>>   writeln("Sorting with pointers: ", times[1]);
>>>   writeln(100.0 * (times[0]-times[1]) / times[0], " percent faster");
>>> }
>>
>> Testing on GDC with a Netbook, results from 3 consecutive runs are:
>>
>> Without -frelease
>> -------
>> Sorting with Array.opIndex: 27981
>> Sorting with pointers: 5602
>> 79.9793 percent faster
>>
>> Sorting with Array.opIndex: 25565
>> Sorting with pointers: 5179
>> 79.7418 percent faster
>>
>> Sorting with Array.opIndex: 28657
>> Sorting with pointers: 5772
>> 79.8583 percent faster
>> -------
>>
>>
>> With -frelease
>> -------
>> Sorting with Array.opIndex: 10591
>> Sorting with pointers: 4771
>> 54.9523 percent faster
>>
>> Sorting with Array.opIndex: 10289
>> Sorting with pointers: 4710
>> 54.223 percent faster
>>
>> Sorting with Array.opIndex: 11305
>> Sorting with pointers: 5216
>> 53.8611 percent faster
>> -------
>>
>>
>> With -frelease -fno-bounds-check
>> -------
>> Sorting with Array.opIndex: 11651
>> Sorting with pointers: 5236
>> 55.0597 percent faster
>>
>> Sorting with Array.opIndex: 9873
>> Sorting with pointers: 4559
>> 53.8236 percent faster
>>
>> Sorting with Array.opIndex: 10361
>> Sorting with pointers: 4745
>> 54.2033 percent faster
>> -------
>>
>>
>> GDC doesn't use DMD's FE inliner, but results from the GCC backend's
>> inliner:
>> -------
>> Considering inline candidate check.
>>  Inlining check into fillUp.
>> Merging blocks 9 and 10
>> Merging blocks 9 and 11
>>
>> Considering inline candidate initialize.
>>  Inlining initialize into emplace.
>> Merging blocks 2 and 3
>> Merging blocks 2 and 4
>>
>> Considering inline candidate bench2.
>> Not inlining: code size would grow by 77 insns.
>> Considering inline candidate bench1.
>> Not inlining: code size would grow by 49 insns.
>> -------
>>
>>
>> So there's _me_ seriously doubting that inlining has anything to do with 
>> the
>> 50% increase.
>>
>> Regards
>> Iain
>> 



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