您可以使用Microsoft C++編譯程式選項/Qpar-report，並將/Qvec-report自動平行處理和自動向量化設定為輸出其活動的原因碼和參考訊息。 本文說明原因代碼和訊息。
資訊訊息
視您指定的報告等級而定，每個迴圈皆會出現下列其中一則告知性訊息。
如需原因代碼的詳細資訊，請參閱本文的下一單元。
| 資訊訊息 | 描述 |
|---|---|
| 5001 | 迴圈向量化。 |
| 5002 | 迴圈不會因為原因 『description』 而向量化。 |
| 5.0.1.1 | 迴圈平行化。 |
| 5012 | 迴圈不會平行化，因為原因為 'description'。 |
| 5021 | 無法與 Pragma 迴圈建立關聯。 |
下列各節列出平行化程式和向量化工具的可能原因代碼。
5xx 原因代碼
5xx 原因代碼同時適用於平行化程式和向量化程式。
| 原因碼 | 說明 |
|---|---|
| 500 | 誘導變數發現或重複失效。 |
| 501 | 歸納變數不是局部變數;或上限不是迴圈不變。 |
| 502 | 歸納變數用其他的方式逐步執行，並非簡單的 +1。 |
| 503 | 迴圈包含了例外狀況處理或參數陳述式。 |
| 504 | 迴圈主體可能會擲回需要 C ++ 物件的解構函式的例外狀況。 |
| 505 | 外部迴圈具有預先遞增的感應變數。 結束分析。 |
| 506 | 環狀結構或標準形態失效。 |
| 507 | 界限、初始化、終止，或比較一致性錯誤。 |
| 508 | 步徑計算或使用失敗 |
| 509 | 迴路方向可接受性失敗。 |
void code_500(int *A)
{
// Code 500 is emitted if the loop has non-vectorizable flow.
// This can include "if", "break", "continue", the conditional
// operator "?", or function calls.
// It also encompasses correct definition and use of the induction
// variable "i", in that the increment "++i" or "i++" must be the last
// statement in the loop.
int i = 0;
while (i<1000)
{
if (i == 4)
{
break;
}
++i;
A[i] = A[i] + 1;
}
// To resolve code 500, use a 'for' loop with single increment of
// induction variable.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
}
int bound();
void code_501_example1(int *A)
{
// Code 501 is emitted if the compiler cannot discern the
// induction variable of this loop. In this case, when it checks
// the upper bound of 'i', the compiler cannot prove that the
// function call "bound()" returns the same value each time.
// Also, the compiler cannot prove that the call to "bound()"
// does not modify the values of array A.
for (int i=0; i<bound(); ++i)
{
A[i] = A[i] + 1;
}
// To resolve code 501, ensure that the induction variable is
// a local variable, and ensure that the upper bound is a
// provably loop invariant value.
for (int i=0, imax = bound(); i<imax; ++i)
{
A[i] = A[i] + 1;
}
}
int i;
void code_501_example2(int *A)
{
// Code 501 is emitted if the compiler cannot discern the
// induction variable of this loop. In this case, 'i' is
// a global.
for (i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
// To resolve code 501, ensure that the induction variable is
// a local variable, and ensure that the upper bound is a
// provably loop invariant value.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
}
void code_502(int *A)
{
// Code 502 is emitted if the compiler cannot discern
// the induction variable of the loop. In this case,
// there are three increments to "i", one of which
// is conditional.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
++i;
if (i < 100)
{
++i;
}
}
// To resolve code 502, ensure that there is just one
// increment of the induction variable, placed in the usual
// spot in the "for" loop.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
}
void code_503(int *A, int x)
{
// Code 503 is emitted if there are inadmissible
// operations in the loop - for example, exception handling and
// switch statements.
for (int i = 0; i<1000; ++i)
{
switch (x)
{
case 1: A[i] = A[i] + 1;
case 2: A[i] = A[i] + 2;
case 3: A[i] = A[i] + 3;
break;
}
}
// To resolve code 503, try to remove as many switch statements
// and exception handling constructs as possible.
}
// compile with /EHsc
int code_504_helper();
class C504
{
public:
C504();
~C504();
};
void code_504(int *A)
{
// Code 504 is emitted if a C++ object was created and
// that object requires EH unwind tracking information under
// /EHs or /EHsc.
for(int i = 0; i < 1000; ++i)
{
C504 c;
A[i] = code_504_helper();
}
}
void code_505(int *A)
{
// Code 505 is emitted on outer loops with pre-incremented
// induction variables. The vectorizer/parallelizer analysis
// package doesn't support these loops, and they are
// intentionally not converted to post-increment loops to
// prevent a performance degradation.
// To parallelize an outer loop that causes code 505, change
// it to a post-incremented loop.
for (int i=100; i--; )
for (int j=0; j<100; j++) { // this loop is still vectorized
A[j] = A[j] + 1;
}
}
10xx 原因代碼
10xx 原因代碼會套用至平行化程式。
| 原因碼 | 說明 |
|---|---|
| 1000 | 編譯器在迴圈主體中偵測到資料的相依性。 |
| 1001 | 編譯器在迴圈主體中偵測到純量變數的存放區，且該純量有在迴圈外的用法。 |
| 1002 | 編譯器嘗試平行處理已具有內部平行化迴圈的迴圈。 |
| 1003 | 迴圈主體包含有可用來讀取或寫入記憶體的內部呼叫。 |
| 1004 | 循環主體中有純量縮減。 如果迴圈已向量化，則可能發生純量減少。 |
| 1005 |
no_parallel已指定 pragma。 |
| 1006 | 此函式包含 OpenMP。 拿掉此函式中的任何 OpenMP 來解決此問題。 |
| 1007 | 迴圈歸納變數或迴圈界限不是帶正負號的32位數位（int 或 long）。 藉由變更歸納變數的類型來解決此問題。 |
| 1008 | 編譯程式偵測到此迴圈無法執行足夠的工作來證明自動平行處理。 |
| 1009 | 編譯程式偵測到嘗試平行處理 「do-while迴圈」。 自動平行化程式只會以 「for循環為目標」。 |
| 1010 | 編譯程式偵測到迴圈針對其條件使用 “not-equals” （!=）。 |
int A[1000];
void func();
void code_1000()
{
// Code 1000 is emitted if the compiler detects a
// data dependence in the loop body.
// You can resolve this by using the ivdep pragma.
// CAUTION -- the compiler will trust your
// assertion that there are no data dependencies
// in the loop body. If there are, you are generating
// code that may have race conditions.
#pragma loop(hint_parallel(0))
//#pragma loop(ivdep) // ivdep will force this through.
for (int i=0; i<1000; ++i)
{
A[i] = A[i-1] + 1; // data dependence here
func(); // data dependence here
}
}
int code_1001()
{
// Code 1001 is emitted if the compiler detects
// a store to a scalar variable in the loop
// body, and that scalar has a use beyond the loop.
// Resolve this by rewriting your code so
// that the scalar is not needed.
int s = 0;
#pragma loop(hint_parallel(0))
for (int i=0; i<1000; ++i)
{
s = A[i];
}
return s;
}
void code_1002()
{
// Code 1002 is emitted when the compiler tries to
// parallelize a loop that has an inner loop that
// has already been parallelized.
#pragma loop(hint_parallel(0))
for (int i=0; i<1000; ++i) // emit code 1002 for this loop
{
#pragma loop(hint_parallel(0))
for (int j=0; j<1000; ++j) // this loop gets parallelized
{
A[j] = A[j] + 1;
}
}
}
extern "C" void __stosb(unsigned char*, unsigned char, size_t);
void code_1003(unsigned char *dst)
{
// Code 1003 is emitted when the loop body contains an intrinsic
// call that may read or write to memory.
// This can be resolved by using the ivdep pragma.
// CAUTION -- the compiler will trust your
// assertion that there are no data dependencies
// in the loop body. If there are, you are generating
// code that may have race conditions.
#pragma loop(hint_parallel(0))
//#pragma loop(ivdep) // ivdep will force this through.
for (int i=0; i<1000; ++i)
{
__stosb(dst, 'c', 10);
A[i] = A[i] + 1;
}
}
int code_1004()
{
// Code 1004 is emitted when there is a scalar reduction
// in the loop body, which can occur if the loop has been
// vectorized.
// You can resolve this by rewriting your code so that it
// does not have a scalar reduction.
int s = 0;
#pragma loop(hint_parallel(0))
for (int i=0; i<1000; ++i)
{
s += A[i];
}
return s;
}
void code_1005()
{
// Code 1005 is emitted when the
// no_parallel pragma is specified.
#pragma loop(no_parallel)
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
}
#include <omp.h>
// Compile with /openmp
void code_1006()
{
// Code 1006 is emitted when this function contains
// openmp. Resolve this by removing any openmp in this
// function.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
#pragma omp parallel num_threads(4)
{
int i = omp_get_thread_num();
A[i] = A[i] + 1;
}
}
void code_1007()
{
// Code 1007 is emitted when the loop induction variable
// or the loop bounds are not signed 32-bit numbers (int
// or long). Resolve this by changing the type of the
// induction variable.
#pragma loop(hint_parallel(0))
for (unsigned int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
}
void code_1008()
{
// Code 1008 is emitted when the compiler detects that
// this loop does not perform enough work to warrant
// auto-parallelization.
// You can resolve this by specifying the hint_parallel
// pragma. CAUTION -- if the loop does not perform
// enough work, parallelizing might cause a potentially
// large performance penalty.
// #pragma loop(hint_parallel(0)) // hint_parallel will force this through
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
}
void code_1009()
{
// Code 1009 is emitted when the compiler tries to parallelize a
// "do-while" loop. The auto-parallelizer only targets "for" loops.
int i = 0;
#pragma loop(hint_parallel(0))
do
{
A[i] = A[i] + 1;
}
while (++i < 1000);
}
void code_1010()
{
// Code 1010 is emitted when the compiler tries to parallelize a
// loop with a condition code of "!=".
// You can resolve this by replacing it with an ordering comparator
// like "<".
#pragma loop(hint_parallel(0))
for (int i = 0; i != 1000; ++i)
{
A[i]++;
}
}
11xx 原因代碼
11xx 原因碼會套用至向量化工具。
| 原因碼 | 說明 |
|---|---|
| 1100 | 迴圈包含控制流程，例如 「if或 」 或 “?: 。 |
| 1101 | 迴圈包含無法向量化的 （可能隱含） 資料類型轉換。 |
| 1102 | 迴圈包含非算術或其他無法向量化的運算。 |
| 1103 | 迴圈主體包括可能會在迴圈內變更大小的移位作業。 |
| 1104 | 迴圈主體包含純量變數。 |
| 1105 | 迴圈包含無法辨識的縮減作業。 |
| 1106 | 外部迴圈未被向量化。 |
void code_1100(int *A, int x)
{
// Code 1100 is emitted when the compiler detects control flow
// in the loop - for example, "if", the ternary operator "?", and
// the like. Resolve this by flattening or removing control
// flow in the loop body.
// Not all control flow causes 1100; some is indeed
// vectorized.
for (int i=0; i<1000; ++i)
{
// straight line code is more amenable to vectorization
if (x)
{
A[i] = A[i] + 1;
}
}
}
extern "C" int __readcr0();
void code_1102(int *A)
{
// Code 1102 is emitted when the compiler is unable to vectorize
// an operation in the loop body. For example, intrinsics and other
// non-arithmetic, non-logical, and non-memory operations are not
// vectorizable.
// Resolve this by removing as many non-vectorizable operations
// as possible from the loop body.
for (int i=0; i<1000; ++i)
{
A[i] = __readcr0();
}
}
void code_1103(int *A, int *B)
{
// Code 1103 is emitted when the compiler is unable to vectorize
// a "shift" operation. In this example, there are two shifts
// that cannot be vectorized.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] >> B[i]; // not vectorizable
int x = B[i];
A[i] = A[i] >> x; // not vectorizable
}
// To resolve this, ensure that your shift amounts are loop
// invariant. If the shift amounts cannot be loop invariant,
// it may not be possible to vectorize this loop.
int x = B[0];
for (int i=0; i<1000; ++i)
{
A[i] = A[i] >> x; // vectorizable
}
}
int code_1104(int *A, int *B)
{
// When it vectorizes a loop, the compiler must 'expand' scalar
// variables to a vector size such that they can fit in
// vector registers. Code 1104 is emitted when the compiler
// cannot 'expand' such scalars.
// In this example, we try to 'expand' x to be used in the
// vectorized loop. However, there is a use of 'x'
// beyond the loop body, which prohibits this expansion.
// To resolve this, try to limit scalars to be used only in
// the loop body and not beyond, and try to keep their types
// consistent with the loop types.
int x;
for (int i=0; i<1000; ++i)
{
x = B[i];
A[i] = A[i] + x;
}
return x;
}
int code_1105(int *A)
{
// The compiler performs an optimization that's known as "reduction"
// when it operates on each element of an array and computes
// a resulting scalar value - for example, in this piece of code, which
// computes the sum of each element in the array:
int s = 0;
for (int i=0; i<1000; ++i)
{
s += A[i]; // vectorizable
}
// The reduction pattern must resemble the loop in the example. The
// compiler emits code 1105 if it cannot deduce the reduction
// pattern, as shown in this example:
for (int i=0; i<1000; ++i)
{
s += A[i] + s; // code 1105
}
// Similarly, reductions of "float" or "double" types require
// that the /fp:fast switch is thrown. Strictly speaking,
// the reduction optimization that the compiler performs uses
// "floating point reassociation". Reassociation is only
// allowed when /fp:fast is thrown.
return s;
}
void code_1106(int *A)
{
// Code 1106 is emitted when the compiler tries to vectorize
// an outer loop.
for (int i=0; i<1000; ++i) // this loop is not vectorized
{
for (int j=0; j<1000; ++j) // this loop is vectorized
{
A[j] = A[j] + 1;
}
}
}
12xx 原因代碼
12xx 原因代碼會套用至向量化工具。
| 原因碼 | 說明 |
|---|---|
| 1200 | 迴圈包含迴圈傳送的數據相依性，可防止向量化。 迴圈的不同反覆專案彼此干擾，讓向量化迴圈會產生錯誤的答案，而且自動向量化工具本身無法證明沒有這類數據相依性。 |
| 1201 | 陣列基底隨著迴圈持續變更。 |
| 1202 | 結構中的欄位不是 32 或 64 位寬。 |
| 1203 | 迴圈主體含有對陣列的非連續存取。 |
| 1204 | 編譯程式內部數據結構限制命中：太多數據相依性邊緣。 |
void fn();
void code_1200(int *A)
{
// Code 1200 is emitted when data dependence is prohibiting
// vectorization. This can only be resolved by rewriting the
// loop, and considering the marking of loop function calls as
// __forceinline.
for (int i=0; i<1000; ++i)
{
A[i] = A[i-1] + 1; // vectorization-prohibiting
fn(); // vectorization-prohibiting
}
}
void code_1201(int *A)
{
// Code 1201 is emitted when an array base changes
// in the loop body. Resolve this by rewriting your
// code so that varying the array base is not necessary.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
A++;
}
}
struct S_1202
{
short a;
short b;
} s[1000];
short sA[1000], sB[1000], sC[1000];
void code_1202(S_1202 *s)
{
// Code 1202 is emitted when non-vectorizable struct accesses
// are present in the loop body. Only struct accesses
// that are 32 or 64 bits are vectorized.
for (int i=0; i<1000; ++i)
{
s[i].a = s[i].b + 1; // this 16 bit struct access is not vectorizable
sA[i] += sB[i] * sC[i]; // this ensures we don't emit reason code '1300'
}
}
void code_1203(int *A)
{
// Code 1203 is emitted when non-vectorizable memory references
// are present in the loop body. Vectorization of some non-contiguous
// memory access is supported - for example, the gather/scatter pattern.
for (int i=0; i<1000; ++i)
{
A[i] += A[0] + 1; // constant memory access not vectorized
A[i] += A[i*2+2] + 2; // non-contiguous memory access not vectorized
}
}
void code_1204(int *A)
{
// Code 1204 is emitted when internal compiler data structures
// hit a limit on the number of data dependence edges recorded.
// Resolve this by moving the innermost loop to another function.
for (int i=0; i<1000; i++)
for (int j=0; j<1000; j++)
for (int k=0; k<1000; k++)
for (int l=0; l<1000; l++)
{
for (int m=0; m<1000; m++)
A[m] = A[m+i] + A[m+j] + A[m+k] + A[m+l];
}
}
13xx 原因代碼
13xx 原因代碼會套用至向量化工具。
| 原因碼 | 說明 |
|---|---|
| 1300 | 循環主體包含很少或沒有計算。 |
| 1,301 | 迴圈步幅不是 +1。 |
| 1302 | 迴圈是 “do-while。 |
| 1303 | 迴圈的反覆項目太少使像量化無法提供值。 |
| 1,304 | 迴圈包含不同大小的指派工作。 |
| 1305 | 沒有足夠的類型資訊。 |
void code_1300(int *A, int *B)
{
// Code 1300 is emitted when the compiler detects that there is
// no computation in the loop body.
for (int i=0; i<1000; ++i)
{
A[i] = B[i]; // Do not vectorize, instead emit memcpy
}
}
void code_1301(int *A)
{
// Code 1301 is emitted when the stride of a loop is not positive 1.
// Only loops that have a stride of positive 1 are vectorized;
// rewriting your loop may be required.
for (int i=0; i<1000; i += 2)
{
A[i] = A[i] + 1;
}
}
void code_1302(int *A)
{
// Code 1302 is emitted for "do-while" loops. Only "while"
// and "for" loops are vectorized.
int i = 0;
do
{
A[i] = A[i] + 1;
} while (++i < 1000);
}
int code_1303(int *A, int *B)
{
// Code 1303 is emitted when the compiler detects that
// the number of iterations of the loop is too small to
// make vectorization profitable.
// If the loop computation fits perfectly in
// vector registers - for example, the upper bound is 4, or 8 in
// this case - then the loop _may_ be vectorized.
// This loop is not vectorized because there are 5 iterations
for (int i=0; i<5; ++i)
{
A[i] = A[i] + 1;
}
// This loop is vectorized
for (int i=0; i<4; ++i)
{
A[i] = A[i] + 1;
}
// This loop is not vectorized because runtime pointer checks
// are required to check that A and B don't overlap. It is not
// worth it to vectorize this loop.
for (int i=0; i<4; ++i)
{
A[i] = B[i] + 1;
}
// This loop is not vectorized because of the scalar reduction.
int s = 0;
for (int i=0; i<4; ++i)
{
s += A[i];
}
return s;
}
void code_1304(int *A, short *B)
{
// Code 1304 is emitted when the compiler detects
// different sized statements in the loop body.
// In this case, there is an 32-bit statement and a
// 16-bit statement.
// In cases like this consider splitting the loop into loops to
// maximize vector register utilization.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
B[i] = B[i] + 1;
}
}
typedef struct S_1305
{
int a;
int b;
} S_1305;
void code_1305( S_1305 *s, S_1305 x)
{
// Code 1305 is emitted when the compiler can't discern
// proper vectorizable type information for this loop.
// This includes non-scalar loop types such as struct
// assignments, as in this example.
// Resolve this by ensuring that your loops have statements
// that operate on integers or floating point types.
for (int i=0; i<1000; ++i)
{
s[i] = x;
}
}
14xx 原因代碼
當指定與向量化不相容的某些選項時，就會發生 14xx 原因碼。
| 原因碼 | 說明 |
|---|---|
| 1400 |
#pragma loop(no_vector) 指定 。 |
| 1401 |
/kernel 當以 x86 或 ARM 為目標時，會指定 switch。 |
| 14:02 |
/arch:SSE2 當以 x86 為目標時，未指定或更高的參數。 |
| 1,403 |
/arch:ATOM 參數已指定，而且迴圈包含雙精度浮點數上的作業。 |
| 1404 |
/O1 或 /Os 參數已指定。 |
| 1405 | 停用向量化可協助動態初始設定式對靜態初始設定式的最佳化。 |
void code_1400(int *A)
{
// Code 1400 is emitted when the no_vector pragma
// is specified.
#pragma loop(no_vector)
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
}
// Compile with /kernel
void code_1401(int *A)
{
// Code 1401 is emitted when /kernel is specified.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
}
// Compile with /arch:IA32
void code_1402(int *A)
{
// Code 1401 is emitted when /arch:IA32 is specified.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
}
// Compile with /favor:ATOM
void code_1403(double *A)
{
// Code 1401 is emitted when /favor:ATOM is specified, and
// the loop contains operations on "double" arrays.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
}
// Compile with /O1 or /Os
void code_1404(int *A)
{
// Code 1401 is emitted when compiling for size.
for (int i=0; i<1000; ++i)
{
A[i] = A[i] + 1;
}
}
15xx 原因代碼
15xx 原因代碼適用於別名。 記憶體的位置可以由兩個不同的名稱呼叫時，會發生存取別名的情形。
| 原因碼 | 說明 |
|---|---|
| 1500 | 在多維陣列的可能別名。 |
| 1501 | 陣列中結構的可能別名。 |
| 1502 | n + K 以外的可能別名和陣列索引。 |
| 1503 | 可能的別名和陣列索引有多個位移。 |
| 1,504 | 可能的別名，可能會要求過多的執行階段檢查。 |
| 1505 | 可能的別名，不過執行階段檢查過於複雜。 |
void code_1500(int A[100][100], int B[100][100])
{
// Code 1500 is emitted when runtime pointer
// disambiguation checks are required, and
// there are multidimensional array references.
for (int i=0; i<100; ++i)
{
for (int j=0; j<100; ++j)
{
A[i][j] = B[i][j] + 1;
}
}
}
typedef struct S_1501
{
int a;
int b;
} S_1501;
int iA[1000], iB[1000], iC[1000];
void code_1501(S_1501 *s1, S_1501 *s2)
{
// Code 1501 is emitted when runtime pointer
// disambiguation checks are required, and
// there are array-of-struct accesses in the
// loop body.
for (int i=0; i<100; ++i)
{
s1[i].a = s2[i].b + 1;
iA[i] += iB[i] * iC[i]; // this is to ensure we don't emit reason code '1300'
}
}
void code_1502(int *A, int *B)
{
// Code 1502 is emitted when runtime pointer
// disambiguation checks are required, and
// an array reference has an offset that varies
// in the loop.
int x = 0;
for (int i=0; i<100; ++i)
{
A[i] = B[i + x] + 1;
++x; // 'x' varies in the loop
}
}
void code_1503(int *A, int *B, int x, int y)
{
// Code 1503 is emitted when runtime pointer
// disambiguation checks are required, and
// an array reference has multiple offsets.
for (int i=0; i<100; ++i)
{
A[i] = B[i+x] + B[i+y] + 1; // multiple offsets when addressing 'B': {x, y}
A[i] = B[i+x] + B[i] + 1; // multiple offsets when addressing 'B': {x, 0}
A[i] = B[i+x] + B[i+x] + 1; // this is vectorized
}
}
void code_1504(int *A1, int *A2, int *A3, int *A4,
int *A5, int *A6, int *A7, int *A8,
int *A9, int *A10, int *A11, int *A12,
int *A13, int *A14, int *A15, int *A16)
{
// Code 1504 is emitted when too many runtime
// pointer disambiguation checks are required.
for (int i=0; i<100; ++i)
{
++A1[i];
++A2[i];
++A3[i];
++A4[i];
++A5[i];
++A6[i];
++A7[i];
++A8[i];
++A9[i];
++A10[i];
++A11[i];
++A12[i];
++A13[i];
++A14[i];
++A15[i];
++A16[i];
}
}
void code_1505(int *A, int *B)
{
// Code 1505 is emitted when runtime pointer
// disambiguation checks are required, but are
// too complex for the compiler to discern.
for (int i=0; i<100; ++i)
{
for (int j=0; j<100; ++j)
{
for (int k=0; k<100; ++k)
{
A[i+j-k] = B[i-j+k] * 2;
}
}
}
}
另請參閱
C/C++ 編譯器與建置工具錯誤與警告
自動平行處理和自動向量化
Visual Studio 2012 中的自動向量化工具 – 概觀
#pragma loop()
/Q 選項 （低階作業）
/Qpar-report （ 自動平行化程式回報層級 ）
/Qvec-report （自動向量化報告層級）