Files
OpenCL-examples/example05/main.c
Dakota St. Laurent bff9fd6443 - update Example05 to use FFTW to check the answer
- update clFFT installation instructions
2015-08-12 16:34:10 -04:00

202 lines
6.6 KiB
C

#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <clFFT.h>
#include <fftw3.h>
const char *kernelSource =
"#pragma OPENCL EXTENSION cl_khr_fp64 : enable \n" \
"__kernel void mult(__global double *v) { \n" \
" int id, v_re, v_im; \n" \
" id = get_global_id(0); \n" \
" v_re = 2*id; \n" \
" v_im = v_re + 1; \n" \
" \n" \
" v[v_re] = 2*v[v_re]; \n" \
" v[v_im] = 4*v[v_im]; \n" \
"} \n" \
"\n" ;
int roundUpToNearest(int x, int n) {
/* Rounds x UP to nearest multiple of n. */
int x_rem = x % n;
if (x_rem == 0)
return x;
return x + (n - x_rem);
}
int main( int argc, char* argv[] ) {
/* This setup is a bit tricky. Since we're doing a real transform, CLFFT
* requires N+2 elements in the array. This is because only N/2 + 1 numbers
* are calculated, and since each number is complex, it requires 2 elements
* for space.
*
* To avoid warp divergence, we want to avoid any conditionals in the
* kernel. Thus we cannot check to see if the thread ID is even or odd to
* act on a real number or imaginary number. To do this, one thread should
* handle one complex number (one real, one imag), i.e. ID_j should handle
* array elements j, j+1.
*
* But we also need the number of global items to be a multiple of 32 (warp
* size). What we can do, for example, N = 128, is pad it by 2 (130),
* divide it by 2 (65), round that UP to the nearest 32 (96), multiply that
* by 2 (192). The kernel will operate on zeros, but it should be faster
* than the scenario with warp divergence. */
unsigned int N = 2048;
unsigned int N_pad = 2*roundUpToNearest( (N+2)/2, 32 );
size_t N_bytes = N_pad * sizeof(double);
// openCL declarations
cl_platform_id platform;
cl_device_id device_id;
cl_context context;
cl_command_queue queue;
cl_program program;
cl_kernel k_mult;
// clFFT declarations
clfftPlanHandle planHandleForward, planHandleBackward;
clfftDim dim = CLFFT_1D;
size_t clLengths[1] = {N};
clfftSetupData fftSetup;
clfftInitSetupData(&fftSetup);
clfftSetup(&fftSetup);
// host version of v
double *h_v;
h_v = (double*) malloc(N_bytes);
// initialize v on host (GPU and CPU)
int i;
for (i = 0; i < N; i++)
h_v[i] = i;
// global & local number of threads
size_t globalSize, localSize;
globalSize = N_pad / 2;
localSize = 32;
// setup OpenCL stuff
cl_int err;
err = clGetPlatformIDs(1, &platform, NULL);
err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 1, &device_id, NULL);
context = clCreateContext(0, 1, &device_id, NULL, NULL, &err);
queue = clCreateCommandQueue(context, device_id, 0, &err);
program = clCreateProgramWithSource(context, 1, (const char **) & kernelSource, NULL, &err);
// Build the program executable
err = clBuildProgram(program, 0, NULL, NULL, NULL, NULL);
if (err != CL_SUCCESS) {
printf("building program failed\n");
if (err == CL_BUILD_PROGRAM_FAILURE) {
size_t log_size;
clGetProgramBuildInfo(program, device_id, CL_PROGRAM_BUILD_LOG, 0, NULL, &log_size);
char *log = (char *) malloc(log_size);
clGetProgramBuildInfo(program, device_id, CL_PROGRAM_BUILD_LOG, log_size, log, NULL);
printf("%s\n", log);
}
}
k_mult = clCreateKernel(program, "mult", &err);
// create arrays on host and write them
cl_mem d_v;
d_v = clCreateBuffer(context, CL_MEM_READ_WRITE, N_bytes, NULL, NULL);
err = clEnqueueWriteBuffer(queue, d_v, CL_TRUE, 0, N_bytes, h_v, 0, NULL, NULL);
// create forward plan and set its params
clfftCreateDefaultPlan(&planHandleForward, context, dim, clLengths);
clfftSetPlanPrecision(planHandleForward, CLFFT_DOUBLE);
clfftSetLayout(planHandleForward, CLFFT_REAL, CLFFT_HERMITIAN_INTERLEAVED);
clfftSetResultLocation(planHandleForward, CLFFT_INPLACE);
clfftBakePlan(planHandleForward, 1, &queue, NULL, NULL);
// create backward plan and set its params
clfftCreateDefaultPlan(&planHandleBackward, context, dim, clLengths);
clfftSetPlanPrecision(planHandleBackward, CLFFT_DOUBLE);
clfftSetLayout(planHandleBackward, CLFFT_HERMITIAN_INTERLEAVED, CLFFT_REAL);
clfftSetResultLocation(planHandleBackward, CLFFT_INPLACE);
clfftBakePlan(planHandleBackward, 1, &queue, NULL, NULL);
err = clSetKernelArg(k_mult, 0, sizeof(cl_mem), &d_v);
// FFT data, multiply elements, IFFT data
clfftEnqueueTransform(planHandleForward, CLFFT_FORWARD, 1, &queue, 0, NULL, NULL, &d_v, NULL, NULL);
clFinish(queue);
err = clEnqueueNDRangeKernel(queue, k_mult, 1, NULL, &globalSize, &localSize, 0, NULL, NULL);
clFinish(queue);
clfftEnqueueTransform(planHandleBackward, CLFFT_BACKWARD, 1, &queue, 0, NULL, NULL, &d_v, NULL, NULL);
clFinish(queue);
// transfer back
clEnqueueReadBuffer(queue, d_v, CL_TRUE, 0, N_bytes, h_v, 0, NULL, NULL );
clFinish(queue);
// do CPU equivalent
double *v;
fftw_complex *V;
int N_COMPLEX = N/2 + 1;
int REAL = 0;
int IMAG = 1;
v = (double*) malloc(N * sizeof(double));
V = (fftw_complex*) malloc(N_COMPLEX * sizeof(fftw_complex));
fftw_plan fft = fftw_plan_dft_r2c_1d(N, v, V, FFTW_MEASURE);
fftw_plan ifft = fftw_plan_dft_c2r_1d(N, V, v, FFTW_MEASURE);
// initialize v here because otherwise fftw_execute will run before
// we initialize the plan... for some reason.
for (i=0; i<N; i++)
v[i] = i;
fftw_execute(fft);
for (i=0; i<N_COMPLEX; i++) {
V[i][REAL] = 2 * V[i][REAL];
V[i][IMAG] = 4 * V[i][IMAG];
}
fftw_execute(ifft);
// scale array as FFTW doesn't automatically do this for back transform
for (i=0; i<N; i++)
v[i] = v[i]/N;
double epsilon = 0.0;
int arrays_equal = 1;
for (i=0; i<N; i++) {
printf("[%f %f] ", h_v[i], v[i]);
if (abs(v[i] - h_v[i]) > epsilon)
arrays_equal = 0;
}
if (arrays_equal)
printf("Arrays are equal!\n");
else
printf("Arrays are NOT equal!\n");
// release FFT stuff
fftw_free(V);
clfftDestroyPlan( &planHandleForward );
clfftDestroyPlan( &planHandleBackward );
clfftTeardown();
// release OpenCL resources
clReleaseMemObject(d_v);
clReleaseProgram(program);
clReleaseKernel(k_mult);
clReleaseCommandQueue(queue);
clReleaseContext(context);
//release host memory
free(v);
free(h_v);
return 0;
}