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author | Willem Jan Palenstijn <WillemJan.Palenstijn@uantwerpen.be> | 2014-04-16 11:12:55 +0000 |
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committer | wpalenst <WillemJan.Palenstijn@uantwerpen.be> | 2014-04-16 11:12:55 +0000 |
commit | 3a6769465bee7d56d0ddff36613b886446421e07 (patch) | |
tree | 624e85c5d6a4ab19c958a388e3436219693a6296 /cuda/2d/util.cu | |
parent | 4dfb881ceb82b07630437e952dec62323977ab56 (diff) | |
download | astra-3a6769465bee7d56d0ddff36613b886446421e07.tar.gz astra-3a6769465bee7d56d0ddff36613b886446421e07.tar.bz2 astra-3a6769465bee7d56d0ddff36613b886446421e07.tar.xz astra-3a6769465bee7d56d0ddff36613b886446421e07.zip |
Remove padding in 2D cuda in favour of Border mode
Diffstat (limited to 'cuda/2d/util.cu')
-rw-r--r-- | cuda/2d/util.cu | 46 |
1 files changed, 19 insertions, 27 deletions
diff --git a/cuda/2d/util.cu b/cuda/2d/util.cu index 06f6714..8bb2f2f 100644 --- a/cuda/2d/util.cu +++ b/cuda/2d/util.cu @@ -36,11 +36,8 @@ bool copyVolumeToDevice(const float* in_data, unsigned int in_pitch, unsigned int width, unsigned int height, float* outD_data, unsigned int out_pitch) { - // TODO: a full memset isn't necessary. Only the edges. cudaError_t err; - err = cudaMemset2D(outD_data, sizeof(float)*out_pitch, 0, sizeof(float)*(width+2), height+2); - ASTRA_CUDA_ASSERT(err); - err = cudaMemcpy2D(outD_data + out_pitch + 1, sizeof(float)*out_pitch, in_data, sizeof(float)*in_pitch, sizeof(float)*width, height, cudaMemcpyHostToDevice); + err = cudaMemcpy2D(outD_data, sizeof(float)*out_pitch, in_data, sizeof(float)*in_pitch, sizeof(float)*width, height, cudaMemcpyHostToDevice); ASTRA_CUDA_ASSERT(err); assert(err == cudaSuccess); return true; @@ -50,7 +47,7 @@ bool copyVolumeFromDevice(float* out_data, unsigned int out_pitch, unsigned int width, unsigned int height, float* inD_data, unsigned int in_pitch) { - cudaError_t err = cudaMemcpy2D(out_data, sizeof(float)*out_pitch, inD_data + (in_pitch + 1), sizeof(float)*in_pitch, sizeof(float)*width, height, cudaMemcpyDeviceToHost); + cudaError_t err = cudaMemcpy2D(out_data, sizeof(float)*out_pitch, inD_data, sizeof(float)*in_pitch, sizeof(float)*width, height, cudaMemcpyDeviceToHost); ASTRA_CUDA_ASSERT(err); return true; } @@ -60,7 +57,7 @@ bool copySinogramFromDevice(float* out_data, unsigned int out_pitch, unsigned int width, unsigned int height, float* inD_data, unsigned int in_pitch) { - cudaError_t err = cudaMemcpy2D(out_data, sizeof(float)*out_pitch, inD_data + 1, sizeof(float)*in_pitch, sizeof(float)*width, height, cudaMemcpyDeviceToHost); + cudaError_t err = cudaMemcpy2D(out_data, sizeof(float)*out_pitch, inD_data, sizeof(float)*in_pitch, sizeof(float)*width, height, cudaMemcpyDeviceToHost); ASTRA_CUDA_ASSERT(err); return true; } @@ -69,11 +66,8 @@ bool copySinogramToDevice(const float* in_data, unsigned int in_pitch, unsigned int width, unsigned int height, float* outD_data, unsigned int out_pitch) { - // TODO: a full memset isn't necessary. Only the edges. cudaError_t err; - err = cudaMemset2D(outD_data, sizeof(float)*out_pitch, 0, (width+2)*sizeof(float), height); - ASTRA_CUDA_ASSERT(err); - err = cudaMemcpy2D(outD_data + 1, sizeof(float)*out_pitch, in_data, sizeof(float)*in_pitch, sizeof(float)*width, height, cudaMemcpyHostToDevice); + err = cudaMemcpy2D(outD_data, sizeof(float)*out_pitch, in_data, sizeof(float)*in_pitch, sizeof(float)*width, height, cudaMemcpyHostToDevice); ASTRA_CUDA_ASSERT(err); return true; } @@ -132,8 +126,7 @@ __global__ void reduce1D(float *g_idata, float *g_odata, unsigned int n) __global__ void reduce2D(float *g_idata, float *g_odata, unsigned int pitch, - unsigned int nx, unsigned int ny, - unsigned int padX, unsigned int padY) + unsigned int nx, unsigned int ny) { extern __shared__ float sdata[]; const unsigned int tidx = threadIdx.x; @@ -145,11 +138,10 @@ __global__ void reduce2D(float *g_idata, float *g_odata, sdata[tid] = 0; - if (x >= padX && x < padX + nx) { + if (x < nx) { - while (y < padY + ny) { - if (y >= padY) - sdata[tid] += (g_idata[pitch*y+x] * g_idata[pitch*y+x]); + while (y < ny) { + sdata[tid] += (g_idata[pitch*y+x] * g_idata[pitch*y+x]); y += 16 * gridDim.y; } @@ -180,11 +172,10 @@ __global__ void reduce2D(float *g_idata, float *g_odata, } float dotProduct2D(float* D_data, unsigned int pitch, - unsigned int width, unsigned int height, - unsigned int padX, unsigned int padY) + unsigned int width, unsigned int height) { - unsigned int bx = ((width+padX) + 15) / 16; - unsigned int by = ((height+padY) + 127) / 128; + unsigned int bx = (width + 15) / 16; + unsigned int by = (height + 127) / 128; unsigned int shared_mem2 = sizeof(float) * 16 * 16; dim3 dimBlock2(16, 16); @@ -192,26 +183,27 @@ float dotProduct2D(float* D_data, unsigned int pitch, float* D_buf; cudaMalloc(&D_buf, sizeof(float) * (bx * by + 1) ); + float* D_res = D_buf + (bx*by); // Step 1: reduce 2D from image to a single vector, taking sum of squares - reduce2D<<< dimGrid2, dimBlock2, shared_mem2>>>(D_data, D_buf, pitch, width, height, padX, padY); + reduce2D<<< dimGrid2, dimBlock2, shared_mem2>>>(D_data, D_buf, pitch, width, height); cudaTextForceKernelsCompletion(); // Step 2: reduce 1D: add up elements in vector if (bx * by > 512) - reduce1D<512><<< 1, 512, sizeof(float)*512>>>(D_buf, D_buf+(bx*by), bx*by); + reduce1D<512><<< 1, 512, sizeof(float)*512>>>(D_buf, D_res, bx*by); else if (bx * by > 128) - reduce1D<128><<< 1, 128, sizeof(float)*128>>>(D_buf, D_buf+(bx*by), bx*by); + reduce1D<128><<< 1, 128, sizeof(float)*128>>>(D_buf, D_res, bx*by); else if (bx * by > 32) - reduce1D<32><<< 1, 32, sizeof(float)*32*2>>>(D_buf, D_buf+(bx*by), bx*by); + reduce1D<32><<< 1, 32, sizeof(float)*32*2>>>(D_buf, D_res, bx*by); else if (bx * by > 8) - reduce1D<8><<< 1, 8, sizeof(float)*8*2>>>(D_buf, D_buf+(bx*by), bx*by); + reduce1D<8><<< 1, 8, sizeof(float)*8*2>>>(D_buf, D_res, bx*by); else - reduce1D<1><<< 1, 1, sizeof(float)*1*2>>>(D_buf, D_buf+(bx*by), bx*by); + reduce1D<1><<< 1, 1, sizeof(float)*1*2>>>(D_buf, D_res, bx*by); float x; - cudaMemcpy(&x, D_buf+(bx*by), 4, cudaMemcpyDeviceToHost); + cudaMemcpy(&x, D_res, 4, cudaMemcpyDeviceToHost); cudaTextForceKernelsCompletion(); |