mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2026-10-25 22:28:17 +08:00
Apply consistent code formatting across the repo. Add clang-format and pre-commit hooks.
This commit is contained in:
Rob Armstrong
@@ -26,16 +26,16 @@
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*/
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/* pitchLinearTexture
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*
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* This example demonstrates how to use textures bound to pitch linear memory.
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* It performs a shift of matrix elements using wrap addressing mode (aka
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* periodic boundary conditions) on two arrays, a pitch linear and a CUDA array,
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* in order to highlight the differences in using each.
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*
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* Textures binding to pitch linear memory is a new feature in CUDA 2.2,
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* and allows use of texture features such as wrap addressing mode and
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* filtering which are not possible with textures bound to regular linear memory
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*/
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*
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* This example demonstrates how to use textures bound to pitch linear memory.
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* It performs a shift of matrix elements using wrap addressing mode (aka
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* periodic boundary conditions) on two arrays, a pitch linear and a CUDA array,
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* in order to highlight the differences in using each.
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*
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* Textures binding to pitch linear memory is a new feature in CUDA 2.2,
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* and allows use of texture features such as wrap addressing mode and
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* filtering which are not possible with textures bound to regular linear memory
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*/
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// includes, system
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#include <stdio.h>
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@@ -50,13 +50,13 @@
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#include <cuda_runtime.h>
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// Utilities and timing functions
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#include <helper_functions.h> // includes cuda.h and cuda_runtime_api.h
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#include <helper_functions.h> // includes cuda.h and cuda_runtime_api.h
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// CUDA helper functions
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#include <helper_cuda.h> // helper functions for CUDA error check
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#include <helper_cuda.h> // helper functions for CUDA error check
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#define NUM_REPS 100 // number of repetitions performed
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#define TILE_DIM 16 // tile/block size
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#define NUM_REPS 100 // number of repetitions performed
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#define TILE_DIM 16 // tile/block size
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const char *sSDKsample = "simplePitchLinearTexture";
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@@ -70,29 +70,26 @@ bool bTestResult = true;
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//! Shifts matrix elements using pitch linear array
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//! @param odata output data in global memory
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////////////////////////////////////////////////////////////////////////////////
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__global__ void shiftPitchLinear(float *odata, int pitch, int width, int height,
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int shiftX, int shiftY,
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cudaTextureObject_t texRefPL) {
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int xid = blockIdx.x * blockDim.x + threadIdx.x;
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int yid = blockIdx.y * blockDim.y + threadIdx.y;
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__global__ void
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shiftPitchLinear(float *odata, int pitch, int width, int height, int shiftX, int shiftY, cudaTextureObject_t texRefPL)
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{
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int xid = blockIdx.x * blockDim.x + threadIdx.x;
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int yid = blockIdx.y * blockDim.y + threadIdx.y;
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odata[yid * pitch + xid] = tex2D<float>(
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texRefPL, (xid + shiftX) / (float)width, (yid + shiftY) / (float)height);
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odata[yid * pitch + xid] = tex2D<float>(texRefPL, (xid + shiftX) / (float)width, (yid + shiftY) / (float)height);
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}
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////////////////////////////////////////////////////////////////////////////////
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//! Shifts matrix elements using regular array
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//! @param odata output data in global memory
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////////////////////////////////////////////////////////////////////////////////
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__global__ void shiftArray(float *odata, int pitch, int width, int height,
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int shiftX, int shiftY,
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cudaTextureObject_t texRefArray) {
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int xid = blockIdx.x * blockDim.x + threadIdx.x;
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int yid = blockIdx.y * blockDim.y + threadIdx.y;
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__global__ void
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shiftArray(float *odata, int pitch, int width, int height, int shiftX, int shiftY, cudaTextureObject_t texRefArray)
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{
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int xid = blockIdx.x * blockDim.x + threadIdx.x;
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int yid = blockIdx.y * blockDim.y + threadIdx.y;
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odata[yid * pitch + xid] =
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tex2D<float>(texRefArray, (xid + shiftX) / (float)width,
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(yid + shiftY) / (float)height);
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odata[yid * pitch + xid] = tex2D<float>(texRefArray, (xid + shiftX) / (float)width, (yid + shiftY) / (float)height);
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}
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////////////////////////////////////////////////////////////////////////////////
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@@ -102,210 +99,199 @@ void runTest(int argc, char **argv);
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////////////////////////////////////////////////////////////////////////////////
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// Program main
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////////////////////////////////////////////////////////////////////////////////
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int main(int argc, char **argv) {
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printf("%s starting...\n\n", sSDKsample);
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int main(int argc, char **argv)
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{
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printf("%s starting...\n\n", sSDKsample);
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runTest(argc, argv);
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runTest(argc, argv);
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printf("%s completed, returned %s\n", sSDKsample,
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bTestResult ? "OK" : "ERROR!");
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exit(bTestResult ? EXIT_SUCCESS : EXIT_FAILURE);
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printf("%s completed, returned %s\n", sSDKsample, bTestResult ? "OK" : "ERROR!");
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exit(bTestResult ? EXIT_SUCCESS : EXIT_FAILURE);
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}
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////////////////////////////////////////////////////////////////////////////////
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//! Run a simple test for CUDA
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////////////////////////////////////////////////////////////////////////////////
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void runTest(int argc, char **argv) {
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// Set array size
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const int nx = 2048;
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const int ny = 2048;
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void runTest(int argc, char **argv)
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{
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// Set array size
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const int nx = 2048;
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const int ny = 2048;
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// Setup shifts applied to x and y data
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const int x_shift = 5;
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const int y_shift = 7;
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// Setup shifts applied to x and y data
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const int x_shift = 5;
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const int y_shift = 7;
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if ((nx % TILE_DIM != 0) || (ny % TILE_DIM != 0)) {
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printf("nx and ny must be multiples of TILE_DIM\n");
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exit(EXIT_FAILURE);
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}
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// Setup execution configuration parameters
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dim3 dimGrid(nx / TILE_DIM, ny / TILE_DIM), dimBlock(TILE_DIM, TILE_DIM);
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// This will pick the best possible CUDA capable device
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int devID = findCudaDevice(argc, (const char **)argv);
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// CUDA events for timing
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cudaEvent_t start, stop;
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cudaEventCreate(&start);
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cudaEventCreate(&stop);
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// Host allocation and initialization
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float *h_idata = (float *)malloc(sizeof(float) * nx * ny);
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float *h_odata = (float *)malloc(sizeof(float) * nx * ny);
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float *gold = (float *)malloc(sizeof(float) * nx * ny);
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for (int i = 0; i < nx * ny; ++i) {
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h_idata[i] = (float)i;
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}
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// Device memory allocation
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// Pitch linear input data
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float *d_idataPL;
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size_t d_pitchBytes;
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checkCudaErrors(cudaMallocPitch((void **)&d_idataPL, &d_pitchBytes,
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nx * sizeof(float), ny));
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// Array input data
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cudaArray *d_idataArray;
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cudaChannelFormatDesc channelDesc = cudaCreateChannelDesc<float>();
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checkCudaErrors(cudaMallocArray(&d_idataArray, &channelDesc, nx, ny));
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// Pitch linear output data
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float *d_odata;
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checkCudaErrors(cudaMallocPitch((void **)&d_odata, &d_pitchBytes,
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nx * sizeof(float), ny));
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// Copy host data to device
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// Pitch linear
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size_t h_pitchBytes = nx * sizeof(float);
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checkCudaErrors(cudaMemcpy2D(d_idataPL, d_pitchBytes, h_idata, h_pitchBytes,
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nx * sizeof(float), ny, cudaMemcpyHostToDevice));
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// Array
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checkCudaErrors(cudaMemcpyToArray(d_idataArray, 0, 0, h_idata,
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nx * ny * sizeof(float),
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cudaMemcpyHostToDevice));
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cudaTextureObject_t texRefPL;
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cudaTextureObject_t texRefArray;
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cudaResourceDesc texRes;
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memset(&texRes, 0, sizeof(cudaResourceDesc));
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texRes.resType = cudaResourceTypePitch2D;
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texRes.res.pitch2D.devPtr = d_idataPL;
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texRes.res.pitch2D.desc = channelDesc;
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texRes.res.pitch2D.width = nx;
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texRes.res.pitch2D.height = ny;
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texRes.res.pitch2D.pitchInBytes = h_pitchBytes;
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cudaTextureDesc texDescr;
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memset(&texDescr, 0, sizeof(cudaTextureDesc));
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texDescr.normalizedCoords = true;
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texDescr.filterMode = cudaFilterModePoint;
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texDescr.addressMode[0] = cudaAddressModeWrap;
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texDescr.addressMode[1] = cudaAddressModeWrap;
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texDescr.readMode = cudaReadModeElementType;
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checkCudaErrors(cudaCreateTextureObject(&texRefPL, &texRes, &texDescr, NULL));
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memset(&texRes, 0, sizeof(cudaResourceDesc));
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memset(&texDescr, 0, sizeof(cudaTextureDesc));
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texRes.resType = cudaResourceTypeArray;
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texRes.res.array.array = d_idataArray;
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texDescr.normalizedCoords = true;
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texDescr.filterMode = cudaFilterModePoint;
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texDescr.addressMode[0] = cudaAddressModeWrap;
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texDescr.addressMode[1] = cudaAddressModeWrap;
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texDescr.readMode = cudaReadModeElementType;
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checkCudaErrors(
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cudaCreateTextureObject(&texRefArray, &texRes, &texDescr, NULL));
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// Reference calculation
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for (int j = 0; j < ny; ++j) {
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int jshift = (j + y_shift) % ny;
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for (int i = 0; i < nx; ++i) {
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int ishift = (i + x_shift) % nx;
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gold[j * nx + i] = h_idata[jshift * nx + ishift];
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if ((nx % TILE_DIM != 0) || (ny % TILE_DIM != 0)) {
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printf("nx and ny must be multiples of TILE_DIM\n");
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exit(EXIT_FAILURE);
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}
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}
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// Run ShiftPitchLinear kernel
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checkCudaErrors(
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cudaMemset2D(d_odata, d_pitchBytes, 0, nx * sizeof(float), ny));
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// Setup execution configuration parameters
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dim3 dimGrid(nx / TILE_DIM, ny / TILE_DIM), dimBlock(TILE_DIM, TILE_DIM);
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checkCudaErrors(cudaEventRecord(start, 0));
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// This will pick the best possible CUDA capable device
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int devID = findCudaDevice(argc, (const char **)argv);
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for (int i = 0; i < NUM_REPS; ++i) {
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shiftPitchLinear<<<dimGrid, dimBlock>>>(d_odata,
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(int)(d_pitchBytes / sizeof(float)),
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nx, ny, x_shift, y_shift, texRefPL);
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}
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// CUDA events for timing
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cudaEvent_t start, stop;
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cudaEventCreate(&start);
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cudaEventCreate(&stop);
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checkCudaErrors(cudaEventRecord(stop, 0));
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checkCudaErrors(cudaEventSynchronize(stop));
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float timePL;
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checkCudaErrors(cudaEventElapsedTime(&timePL, start, stop));
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// Host allocation and initialization
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float *h_idata = (float *)malloc(sizeof(float) * nx * ny);
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float *h_odata = (float *)malloc(sizeof(float) * nx * ny);
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float *gold = (float *)malloc(sizeof(float) * nx * ny);
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// Check results
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checkCudaErrors(cudaMemcpy2D(h_odata, h_pitchBytes, d_odata, d_pitchBytes,
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nx * sizeof(float), ny, cudaMemcpyDeviceToHost));
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for (int i = 0; i < nx * ny; ++i) {
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h_idata[i] = (float)i;
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}
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bool res = compareData(gold, h_odata, nx * ny, 0.0f, 0.15f);
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// Device memory allocation
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// Pitch linear input data
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float *d_idataPL;
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size_t d_pitchBytes;
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bTestResult = true;
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checkCudaErrors(cudaMallocPitch((void **)&d_idataPL, &d_pitchBytes, nx * sizeof(float), ny));
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if (res == false) {
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printf("*** shiftPitchLinear failed ***\n");
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bTestResult = false;
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}
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// Array input data
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cudaArray *d_idataArray;
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cudaChannelFormatDesc channelDesc = cudaCreateChannelDesc<float>();
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// Run ShiftArray kernel
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checkCudaErrors(
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cudaMemset2D(d_odata, d_pitchBytes, 0, nx * sizeof(float), ny));
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checkCudaErrors(cudaEventRecord(start, 0));
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checkCudaErrors(cudaMallocArray(&d_idataArray, &channelDesc, nx, ny));
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for (int i = 0; i < NUM_REPS; ++i) {
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shiftArray<<<dimGrid, dimBlock>>>(d_odata,
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(int)(d_pitchBytes / sizeof(float)), nx,
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ny, x_shift, y_shift, texRefArray);
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}
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// Pitch linear output data
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float *d_odata;
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checkCudaErrors(cudaMallocPitch((void **)&d_odata, &d_pitchBytes, nx * sizeof(float), ny));
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checkCudaErrors(cudaEventRecord(stop, 0));
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checkCudaErrors(cudaEventSynchronize(stop));
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float timeArray;
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checkCudaErrors(cudaEventElapsedTime(&timeArray, start, stop));
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// Copy host data to device
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// Pitch linear
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size_t h_pitchBytes = nx * sizeof(float);
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// Check results
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checkCudaErrors(cudaMemcpy2D(h_odata, h_pitchBytes, d_odata, d_pitchBytes,
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nx * sizeof(float), ny, cudaMemcpyDeviceToHost));
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res = compareData(gold, h_odata, nx * ny, 0.0f, 0.15f);
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checkCudaErrors(
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cudaMemcpy2D(d_idataPL, d_pitchBytes, h_idata, h_pitchBytes, nx * sizeof(float), ny, cudaMemcpyHostToDevice));
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if (res == false) {
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printf("*** shiftArray failed ***\n");
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bTestResult = false;
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}
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// Array
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checkCudaErrors(cudaMemcpyToArray(d_idataArray, 0, 0, h_idata, nx * ny * sizeof(float), cudaMemcpyHostToDevice));
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float bandwidthPL =
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2.f * 1000.f * nx * ny * sizeof(float) / (1.e+9f) / (timePL / NUM_REPS);
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float bandwidthArray = 2.f * 1000.f * nx * ny * sizeof(float) / (1.e+9f) /
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(timeArray / NUM_REPS);
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cudaTextureObject_t texRefPL;
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cudaTextureObject_t texRefArray;
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cudaResourceDesc texRes;
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memset(&texRes, 0, sizeof(cudaResourceDesc));
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printf("\nBandwidth (GB/s) for pitch linear: %.2e; for array: %.2e\n",
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bandwidthPL, bandwidthArray);
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texRes.resType = cudaResourceTypePitch2D;
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texRes.res.pitch2D.devPtr = d_idataPL;
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texRes.res.pitch2D.desc = channelDesc;
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texRes.res.pitch2D.width = nx;
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texRes.res.pitch2D.height = ny;
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texRes.res.pitch2D.pitchInBytes = h_pitchBytes;
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cudaTextureDesc texDescr;
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memset(&texDescr, 0, sizeof(cudaTextureDesc));
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float fetchRatePL = nx * ny / 1.e+6f / (timePL / (1000.0f * NUM_REPS));
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float fetchRateArray = nx * ny / 1.e+6f / (timeArray / (1000.0f * NUM_REPS));
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texDescr.normalizedCoords = true;
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texDescr.filterMode = cudaFilterModePoint;
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texDescr.addressMode[0] = cudaAddressModeWrap;
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texDescr.addressMode[1] = cudaAddressModeWrap;
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texDescr.readMode = cudaReadModeElementType;
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printf(
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"\nTexture fetch rate (Mpix/s) for pitch linear: "
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"%.2e; for array: %.2e\n\n",
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fetchRatePL, fetchRateArray);
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checkCudaErrors(cudaCreateTextureObject(&texRefPL, &texRes, &texDescr, NULL));
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memset(&texRes, 0, sizeof(cudaResourceDesc));
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memset(&texDescr, 0, sizeof(cudaTextureDesc));
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texRes.resType = cudaResourceTypeArray;
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texRes.res.array.array = d_idataArray;
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texDescr.normalizedCoords = true;
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texDescr.filterMode = cudaFilterModePoint;
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texDescr.addressMode[0] = cudaAddressModeWrap;
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texDescr.addressMode[1] = cudaAddressModeWrap;
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texDescr.readMode = cudaReadModeElementType;
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checkCudaErrors(cudaCreateTextureObject(&texRefArray, &texRes, &texDescr, NULL));
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// Cleanup
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free(h_idata);
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free(h_odata);
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free(gold);
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// Reference calculation
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for (int j = 0; j < ny; ++j) {
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int jshift = (j + y_shift) % ny;
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checkCudaErrors(cudaDestroyTextureObject(texRefPL));
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checkCudaErrors(cudaDestroyTextureObject(texRefArray));
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checkCudaErrors(cudaFree(d_idataPL));
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checkCudaErrors(cudaFreeArray(d_idataArray));
|
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checkCudaErrors(cudaFree(d_odata));
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for (int i = 0; i < nx; ++i) {
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int ishift = (i + x_shift) % nx;
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gold[j * nx + i] = h_idata[jshift * nx + ishift];
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}
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}
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checkCudaErrors(cudaEventDestroy(start));
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checkCudaErrors(cudaEventDestroy(stop));
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// Run ShiftPitchLinear kernel
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checkCudaErrors(cudaMemset2D(d_odata, d_pitchBytes, 0, nx * sizeof(float), ny));
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checkCudaErrors(cudaEventRecord(start, 0));
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for (int i = 0; i < NUM_REPS; ++i) {
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shiftPitchLinear<<<dimGrid, dimBlock>>>(
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d_odata, (int)(d_pitchBytes / sizeof(float)), nx, ny, x_shift, y_shift, texRefPL);
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}
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checkCudaErrors(cudaEventRecord(stop, 0));
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checkCudaErrors(cudaEventSynchronize(stop));
|
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float timePL;
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checkCudaErrors(cudaEventElapsedTime(&timePL, start, stop));
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// Check results
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||||
checkCudaErrors(
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cudaMemcpy2D(h_odata, h_pitchBytes, d_odata, d_pitchBytes, nx * sizeof(float), ny, cudaMemcpyDeviceToHost));
|
||||
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bool res = compareData(gold, h_odata, nx * ny, 0.0f, 0.15f);
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bTestResult = true;
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if (res == false) {
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printf("*** shiftPitchLinear failed ***\n");
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bTestResult = false;
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||||
}
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|
||||
// Run ShiftArray kernel
|
||||
checkCudaErrors(cudaMemset2D(d_odata, d_pitchBytes, 0, nx * sizeof(float), ny));
|
||||
checkCudaErrors(cudaEventRecord(start, 0));
|
||||
|
||||
for (int i = 0; i < NUM_REPS; ++i) {
|
||||
shiftArray<<<dimGrid, dimBlock>>>(
|
||||
d_odata, (int)(d_pitchBytes / sizeof(float)), nx, ny, x_shift, y_shift, texRefArray);
|
||||
}
|
||||
|
||||
checkCudaErrors(cudaEventRecord(stop, 0));
|
||||
checkCudaErrors(cudaEventSynchronize(stop));
|
||||
float timeArray;
|
||||
checkCudaErrors(cudaEventElapsedTime(&timeArray, start, stop));
|
||||
|
||||
// Check results
|
||||
checkCudaErrors(
|
||||
cudaMemcpy2D(h_odata, h_pitchBytes, d_odata, d_pitchBytes, nx * sizeof(float), ny, cudaMemcpyDeviceToHost));
|
||||
res = compareData(gold, h_odata, nx * ny, 0.0f, 0.15f);
|
||||
|
||||
if (res == false) {
|
||||
printf("*** shiftArray failed ***\n");
|
||||
bTestResult = false;
|
||||
}
|
||||
|
||||
float bandwidthPL = 2.f * 1000.f * nx * ny * sizeof(float) / (1.e+9f) / (timePL / NUM_REPS);
|
||||
float bandwidthArray = 2.f * 1000.f * nx * ny * sizeof(float) / (1.e+9f) / (timeArray / NUM_REPS);
|
||||
|
||||
printf("\nBandwidth (GB/s) for pitch linear: %.2e; for array: %.2e\n", bandwidthPL, bandwidthArray);
|
||||
|
||||
float fetchRatePL = nx * ny / 1.e+6f / (timePL / (1000.0f * NUM_REPS));
|
||||
float fetchRateArray = nx * ny / 1.e+6f / (timeArray / (1000.0f * NUM_REPS));
|
||||
|
||||
printf("\nTexture fetch rate (Mpix/s) for pitch linear: "
|
||||
"%.2e; for array: %.2e\n\n",
|
||||
fetchRatePL,
|
||||
fetchRateArray);
|
||||
|
||||
// Cleanup
|
||||
free(h_idata);
|
||||
free(h_odata);
|
||||
free(gold);
|
||||
|
||||
checkCudaErrors(cudaDestroyTextureObject(texRefPL));
|
||||
checkCudaErrors(cudaDestroyTextureObject(texRefArray));
|
||||
checkCudaErrors(cudaFree(d_idataPL));
|
||||
checkCudaErrors(cudaFreeArray(d_idataArray));
|
||||
checkCudaErrors(cudaFree(d_odata));
|
||||
|
||||
checkCudaErrors(cudaEventDestroy(start));
|
||||
checkCudaErrors(cudaEventDestroy(stop));
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user