我正在尝试在 CUDA 中实现多精度乘法。为此,我实现了一个内核,它应该计算uint32_t
类型操作数与 256 位操作数的乘法,并将结果放入 288 位数组中。到目前为止,我已经想出了这个代码:
__device__ __constant__ UN_256fe B_const;
__global__ void multiply32x256Kernel(uint32_t A, UN_288bite* result){
uint8_t tid = blockIdx.x * blockDim.x + threadIdx.x;
//for managing warps
//uint8_t laineid = tid % 32;
//allocate partial products into array of uint64_t
__shared__ uint64_t partialMuls[8];
uint32_t carry, r;
if((tid < 8) && (tid != 0)){
//compute partial products
partialMuls[tid] = A * B_const.uint32[tid];
//add partial products and propagate carry
result->uint32[8] = (uint32_t)partialMuls[7];
r = (partialMuls[tid] >> 32) + ((uint32_t)partialMuls[tid - 1]);
carry = r < (partialMuls[tid] >> 32);
result->uint32[0] = (partialMuls[0] >> 32);
while(__any(carry)){
r = r + carry;
//new carry?
carry = r < carry;
}
result->uint32[tid] = r;
}
我的数据类型是:
typedef struct UN_256fe{
uint32_t uint32[8];
}UN_256fe;
typedef struct UN_288bite{
uint32_t uint32[9];
}UN_288bite;
我的内核工作,但它给了我错误的结果。我无法在内核中调试,所以如果有人让我知道问题出在哪里或者我如何在内核中调试我的代码,我将不胜tegra-ubuntu
感激cuda-6.0
。谢谢