nju*_*ffa 49
为了获得最佳性能,人们希望在适当的CUDA矢量类型(例如uint4)之上映射128位类型,并使用PTX内联汇编实现功能.添加看起来像这样:
typedef uint4 my_uint128_t;
__device__ my_uint128_t add_uint128 (my_uint128_t addend, my_uint128_t augend)
{
my_uint128_t res;
asm ("add.cc.u32 %0, %4, %8;\n\t"
"addc.cc.u32 %1, %5, %9;\n\t"
"addc.cc.u32 %2, %6, %10;\n\t"
"addc.u32 %3, %7, %11;\n\t"
: "=r"(res.x), "=r"(res.y), "=r"(res.z), "=r"(res.w)
: "r"(addend.x), "r"(addend.y), "r"(addend.z), "r"(addend.w),
"r"(augend.x), "r"(augend.y), "r"(augend.z), "r"(augend.w));
return res;
}
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通过将128位数字分成32位块,计算64位部分乘积并适当地添加它们,可以类似地使用PTX内联汇编来构造乘法.显然这需要一些工作.通过将数字分成64位块并使用__umul64hi()与常规64位乘法和一些加法相结合,可以在C级获得合理的性能.这将导致以下结果:
__device__ my_uint128_t mul_uint128 (my_uint128_t multiplicand,
my_uint128_t multiplier)
{
my_uint128_t res;
unsigned long long ahi, alo, bhi, blo, phi, plo;
alo = ((unsigned long long)multiplicand.y << 32) | multiplicand.x;
ahi = ((unsigned long long)multiplicand.w << 32) | multiplicand.z;
blo = ((unsigned long long)multiplier.y << 32) | multiplier.x;
bhi = ((unsigned long long)multiplier.w << 32) | multiplier.z;
plo = alo * blo;
phi = __umul64hi (alo, blo) + alo * bhi + ahi * blo;
res.x = (unsigned int)(plo & 0xffffffff);
res.y = (unsigned int)(plo >> 32);
res.z = (unsigned int)(phi & 0xffffffff);
res.w = (unsigned int)(phi >> 32);
return res;
}
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下面是使用PTX内联汇编的128位乘法版本.它需要随CUDA 4.2一起提供的PTX 3.0,并且代码需要至少具有计算能力2.0的GPU,即Fermi或Kepler类设备.该代码使用最少数量的指令,因为需要16个32位乘法来实现128位乘法.相比之下,上面使用CUDA内在函数的变体编译为sm_20目标的23条指令.
__device__ my_uint128_t mul_uint128 (my_uint128_t a, my_uint128_t b)
{
my_uint128_t res;
asm ("{\n\t"
"mul.lo.u32 %0, %4, %8; \n\t"
"mul.hi.u32 %1, %4, %8; \n\t"
"mad.lo.cc.u32 %1, %4, %9, %1;\n\t"
"madc.hi.u32 %2, %4, %9, 0;\n\t"
"mad.lo.cc.u32 %1, %5, %8, %1;\n\t"
"madc.hi.cc.u32 %2, %5, %8, %2;\n\t"
"madc.hi.u32 %3, %4,%10, 0;\n\t"
"mad.lo.cc.u32 %2, %4,%10, %2;\n\t"
"madc.hi.u32 %3, %5, %9, %3;\n\t"
"mad.lo.cc.u32 %2, %5, %9, %2;\n\t"
"madc.hi.u32 %3, %6, %8, %3;\n\t"
"mad.lo.cc.u32 %2, %6, %8, %2;\n\t"
"madc.lo.u32 %3, %4,%11, %3;\n\t"
"mad.lo.u32 %3, %5,%10, %3;\n\t"
"mad.lo.u32 %3, %6, %9, %3;\n\t"
"mad.lo.u32 %3, %7, %8, %3;\n\t"
"}"
: "=r"(res.x), "=r"(res.y), "=r"(res.z), "=r"(res.w)
: "r"(a.x), "r"(a.y), "r"(a.z), "r"(a.w),
"r"(b.x), "r"(b.y), "r"(b.z), "r"(b.w));
return res;
}
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tke*_*win 12
CUDA本身不支持128位整数.您可以使用两个64位整数自行伪造操作.
看看这篇文章:
typedef struct {
unsigned long long int lo;
unsigned long long int hi;
} my_uint128;
my_uint128 add_uint128 (my_uint128 a, my_uint128 b)
{
my_uint128 res;
res.lo = a.lo + b.lo;
res.hi = a.hi + b.hi + (res.lo < a.lo);
return res;
}
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