--- /dev/null
+__kernel void kernel_dot
+(
+ __global float* ptrR,
+ __global float* ptrA,
+ __global float* ptrB,
+ const int rowsA,
+ const int colsA,
+ const int rowsB,
+ const int colsB
+)
+{
+ const int rowsR = rowsA;
+ const int colsR = colsB;
+ const int rowR = get_global_id(0); //{gpu_only}
+ const int colR = get_global_id(1); //{gpu_only}
+
+ float rR = 0;
+ float iR = 0;
+ const int posR = rowR * (colsR * 2) + (colR * 2);
+
+ for (int i = 0; i < colsA; i++)
+ {
+ const int posA = rowR * (colsA * 2) + (i * 2);
+ const int posB = i * (colsB * 2) + (colR * 2);
+
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+ const float rB = ptrB[posB];
+ const float iB = ptrB[posB + 1];
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+
+ rR += first + lasts;
+ iR += outer + inner;
+ }
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = rR;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = iR;
+}
+
+__kernel void kernel_knk
+(
+ __global float* ptrR,
+ __global float* ptrA,
+ __global float* ptrB,
+ const int rowsA,
+ const int colsA,
+ const int rowsB,
+ const int colsB
+)
+{
+ const int rowsR = rowsA * rowsB;
+ const int colsR = colsA * colsB;
+ const int rowR = get_global_id(0); //{gpu_only}
+ for (int colR = 0; colR < colsR; colR++)
+ {
+ const int rowA = rowR / rowsB;
+ const int colA = colR / colsB;
+ const int rowB = rowR % rowsB;
+ const int colB = colR % colsB;
+
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const int posB = rowB * (colsB * 2) + (colB * 2);
+
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+ const float rB = ptrB[posB];
+ const float iB = ptrB[posB + 1];
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = first + lasts;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = outer + inner;
+ }
+}
+
+__kernel void kernel_knk_2
+(
+ __global float* ptrR,
+ __global float* ptrA,
+ __global float* ptrB,
+ const int rowsA,
+ const int colsA,
+ const int rowsB,
+ const int colsB
+)
+{
+ //This is based off the equality that
+ // (A knk I) dot (J knk B) = A knk B
+ // If I and J are identity matrices, then
+ // we don't even need to compute them
+ // to know their values at a given
+ // index, meaning we just need to
+ // carry out effectively a copy of
+ // the dot product procedure.
+ const int rowsI = rowsB;
+ const int colsI = rowsI;
+ const int rowsJ = colsA;
+ const int colsJ = rowsJ;
+ const int rowsX = rowsA * rowsI;
+ const int colsX = colsA * colsI;
+ const int rowsY = rowsJ * rowsB;
+ const int colsY = colsJ * colsB;
+ const int rowsR = rowsX;
+ const int colsR = colsY;
+
+ const int rowR = get_global_id(0); //{gpu_only}
+ const int colR = get_global_id(1); //{gpu_only}
+ int posA, posB;
+ float rR = 0;
+ float iR = 0;
+ const int posR = rowR * (colsR * 2) + (colR * 2);
+
+ for (int i = 0; i < colsX; i++)
+ {
+ const int rowX = rowR;
+ const int colX = i;
+ const int rowY = i;
+ const int colY = colR;
+
+ const int rowA = rowX / rowsI;
+ const int colA = colX / colsI;
+ const int rowI = rowX % rowsI;
+ const int colI = colX % colsI;
+
+ const int rowJ = rowY / rowsB;
+ const int colJ = colY / colsB;
+ const int rowB = rowY % rowsB;
+ const int colB = colY % colsB;
+
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const int posB = rowB * (colsB * 2) + (colB * 2);
+
+ const float rA = rowI == colI ? ptrA[posA] : 0;
+ const float iA = rowI == colI ? ptrA[posA + 1] : 0;
+ const float rB = rowJ == colJ ? ptrB[posB] : 0;
+ const float iB = rowJ == colJ ? ptrB[posB + 1] : 0;
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+
+ rR += first + lasts;
+ iR += outer + inner;
+ }
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = rR;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = iR;
+
+}
+
+__kernel void kernel_knk_3
+(
+ __global float* ptrR,
+ __global float* ptrA,
+ const int rowsA,
+ const int colsA,
+ const float gate0,
+ const float gate1,
+ const float gate2,
+ const float gate3,
+ const float gate4,
+ const float gate5,
+ const float gate6,
+ const float gate7
+)
+{
+ const int rowsR = rowsA * 2;
+ const int colsR = colsA * 2;
+ const int rowR = get_global_id(0); //{gpu_only}
+ for (int colR = 0; colR < colsR; colR++)
+ {
+ const int rowA = rowR / 2;
+ const int colA = colR / 2;
+ const int rowB = rowR % 2;
+ const int colB = colR % 2;
+ float rB, iB;
+ switch ((rowB << 1) | colB)
+ {
+ case 0b00: rB = gate0; iB = gate1; break;
+ case 0b01: rB = gate2; iB = gate3; break;
+ case 0b10: rB = gate4; iB = gate5; break;
+ case 0b11: rB = gate6; iB = gate7; break;
+ }
+
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = first + lasts;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = outer + inner;
+ }
+}
+
+__kernel void kernel_knk_2x2
+(
+ __global float* ptrR,
+ __global float* ptrA,
+ const int rowsA,
+ const int colsA,
+ const float gate0,
+ const float gate1,
+ const float gate2,
+ const float gate3,
+ const float gate4,
+ const float gate5,
+ const float gate6,
+ const float gate7
+)
+{
+ const int rowsR = rowsA * 2;
+ const int colsR = colsA * 2;
+ const int rowR = get_global_id(0) * 2; //{gpu_only}
+ for (int colR = 0; colR < colsR; colR += 2)
+ {
+ const int rowA = rowR / 2;
+ const int colA = colR / 2;
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+
+ for (int i = 0; i < 4; i++)
+ {
+ float rB, iB;
+ switch (i)
+ {
+ case 0: rB = gate0; iB = gate1; break;
+ case 1: rB = gate2; iB = gate3; break;
+ case 2: rB = gate4; iB = gate5; break;
+ case 3: rB = gate6; iB = gate7; break;
+ }
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+ switch (i)
+ {
+ case 0:
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 0) * 2)] = first + lasts;
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 0) * 2) + 1] = outer + inner;
+ break;
+ case 1:
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 1) * 2)] = first + lasts;
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 1) * 2) + 1] = outer + inner;
+ break;
+ case 2:
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 0) * 2)] = first + lasts;
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 0) * 2) + 1] = outer + inner;
+ break;
+ case 3:
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 1) * 2)] = first + lasts;
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 1) * 2) + 1] = outer + inner;
+ break;
+ }
+
+ }
+ }
+}
--- /dev/null
+__kernel void kernel_dot
+(
+ __global float* ptrR,
+ __global float* ptrA,
+ __global float* ptrB,
+ const int rowsA,
+ const int colsA,
+ const int rowsB,
+ const int colsB
+)
+{
+ const int rowsR = rowsA;
+ const int colsR = colsB;
+ const int rowR = get_global_id(0); //{gpu_only}
+ const int colR = get_global_id(1); //{gpu_only}
+
+ float rR = 0;
+ float iR = 0;
+ const int posR = rowR * (colsR * 2) + (colR * 2);
+
+ for (int i = 0; i < colsA; i++)
+ {
+ const int posA = rowR * (colsA * 2) + (i * 2);
+ const int posB = i * (colsB * 2) + (colR * 2);
+
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+ const float rB = ptrB[posB];
+ const float iB = ptrB[posB + 1];
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+
+ rR += first + lasts;
+ iR += outer + inner;
+ }
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = rR;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = iR;
+}
+
+__kernel void kernel_knk
+(
+ __global float* ptrR,
+ __global float* ptrA,
+ __global float* ptrB,
+ const int rowsA,
+ const int colsA,
+ const int rowsB,
+ const int colsB
+)
+{
+ const int rowsR = rowsA * rowsB;
+ const int colsR = colsA * colsB;
+ const int rowR = get_global_id(0); //{gpu_only}
+ for (int colR = 0; colR < colsR; colR++)
+ {
+ const int rowA = rowR / rowsB;
+ const int colA = colR / colsB;
+ const int rowB = rowR % rowsB;
+ const int colB = colR % colsB;
+
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const int posB = rowB * (colsB * 2) + (colB * 2);
+
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+ const float rB = ptrB[posB];
+ const float iB = ptrB[posB + 1];
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = first + lasts;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = outer + inner;
+ }
+}
+
+__kernel void kernel_knk_2
+(
+ __global float* ptrR,
+ __global float* ptrA,
+ __global float* ptrB,
+ const int rowsA,
+ const int colsA,
+ const int rowsB,
+ const int colsB
+)
+{
+ //This is based off the equality that
+ // (A knk I) dot (J knk B) = A knk B
+ // If I and J are identity matrices, then
+ // we don't even need to compute them
+ // to know their values at a given
+ // index, meaning we just need to
+ // carry out effectively a copy of
+ // the dot product procedure.
+ const int rowsI = rowsB;
+ const int colsI = rowsI;
+ const int rowsJ = colsA;
+ const int colsJ = rowsJ;
+ const int rowsX = rowsA * rowsI;
+ const int colsX = colsA * colsI;
+ const int rowsY = rowsJ * rowsB;
+ const int colsY = colsJ * colsB;
+ const int rowsR = rowsX;
+ const int colsR = colsY;
+
+ const int rowR = get_global_id(0); //{gpu_only}
+ const int colR = get_global_id(1); //{gpu_only}
+ int posA, posB;
+ float rR = 0;
+ float iR = 0;
+ const int posR = rowR * (colsR * 2) + (colR * 2);
+
+ for (int i = 0; i < colsX; i++)
+ {
+ const int rowX = rowR;
+ const int colX = i;
+ const int rowY = i;
+ const int colY = colR;
+
+ const int rowA = rowX / rowsI;
+ const int colA = colX / colsI;
+ const int rowI = rowX % rowsI;
+ const int colI = colX % colsI;
+
+ const int rowJ = rowY / rowsB;
+ const int colJ = colY / colsB;
+ const int rowB = rowY % rowsB;
+ const int colB = colY % colsB;
+
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const int posB = rowB * (colsB * 2) + (colB * 2);
+
+ const float rA = rowI == colI ? ptrA[posA] : 0;
+ const float iA = rowI == colI ? ptrA[posA + 1] : 0;
+ const float rB = rowJ == colJ ? ptrB[posB] : 0;
+ const float iB = rowJ == colJ ? ptrB[posB + 1] : 0;
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+
+ rR += first + lasts;
+ iR += outer + inner;
+ }
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = rR;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = iR;
+
+}
+
+__kernel void kernel_knk_3
+(
+ __global float* ptrR,
+ __global float* ptrA,
+ const int rowsA,
+ const int colsA,
+ const float gate0,
+ const float gate1,
+ const float gate2,
+ const float gate3,
+ const float gate4,
+ const float gate5,
+ const float gate6,
+ const float gate7
+)
+{
+ const int rowsR = rowsA * 2;
+ const int colsR = colsA * 2;
+ const int rowR = get_global_id(0); //{gpu_only}
+ for (int colR = 0; colR < colsR; colR++)
+ {
+ const int rowA = rowR / 2;
+ const int colA = colR / 2;
+ const int rowB = rowR % 2;
+ const int colB = colR % 2;
+ float rB, iB;
+ switch ((rowB << 1) | colB)
+ {
+ case 0b00: rB = gate0; iB = gate1; break;
+ case 0b01: rB = gate2; iB = gate3; break;
+ case 0b10: rB = gate4; iB = gate5; break;
+ case 0b11: rB = gate6; iB = gate7; break;
+ }
+
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = first + lasts;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = outer + inner;
+ }
+}
+
+__kernel void kernel_knk_2x2
+(
+ __global float* ptrR,
+ __global float* ptrA,
+ const int rowsA,
+ const int colsA,
+ const float gate0,
+ const float gate1,
+ const float gate2,
+ const float gate3,
+ const float gate4,
+ const float gate5,
+ const float gate6,
+ const float gate7
+)
+{
+ const int rowsR = rowsA * 2;
+ const int colsR = colsA * 2;
+ const int rowR = get_global_id(0) * 2; //{gpu_only}
+ for (int colR = 0; colR < colsR; colR += 2)
+ {
+ const int rowA = rowR / 2;
+ const int colA = colR / 2;
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+
+ for (int i = 0; i < 4; i++)
+ {
+ float rB, iB;
+ switch (i)
+ {
+ case 0: rB = gate0; iB = gate1; break;
+ case 1: rB = gate2; iB = gate3; break;
+ case 2: rB = gate4; iB = gate5; break;
+ case 3: rB = gate6; iB = gate7; break;
+ }
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+ switch (i)
+ {
+ case 0:
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 0) * 2)] = first + lasts;
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 0) * 2) + 1] = outer + inner;
+ break;
+ case 1:
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 1) * 2)] = first + lasts;
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 1) * 2) + 1] = outer + inner;
+ break;
+ case 2:
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 0) * 2)] = first + lasts;
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 0) * 2) + 1] = outer + inner;
+ break;
+ case 3:
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 1) * 2)] = first + lasts;
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 1) * 2) + 1] = outer + inner;
+ break;
+ }
+
+ }
+ }
+}\0
\ No newline at end of file
us2 = get_time();
printf("\tMetal: %lu\n", us2 - us1);
us1 = get_time();
- cpx_mtx_knk_metal_2(tmp.ptr, filter.ptr, gate.ptr, filter.rows, filter.cols, gate.rows, gate.cols);
+ cpx_mtx_knk_metal_2x2(tmp.ptr, filter.ptr, gate.ptr, filter.rows, filter.cols, gate.rows, gate.cols);
us2 = get_time();
printf("\tMetal2: %lu\n", us2 - us1);
#else
if (USE_GPU && tmp.rows >= 512)
{
- cpx_mtx_knk_metal_2(tmp.ptr, filter.ptr, gate.ptr, filter.rows, filter.cols, gate.rows, gate.cols);
+ cpx_mtx_knk_metal_2x2(tmp.ptr, filter.ptr, gate.ptr, filter.rows, filter.cols, gate.rows, gate.cols);
}
else if (USE_THREADS && tmp.rows >= 512)
{
#include <pthread.h>
#include <string.h>
#include "cores.c"
-#include "kernel_cpu.cl.c"
+#include "kernel_cpu.cl"
+#include "kernel_gpu.cl"
typedef struct
{
float real, imaginary;
#define CL_TARGET_OPENCL_VERSION 300
#include <CL/cl.h>
#define gpuerr(x) if (err != CL_SUCCESS) { fprintf(stderr, "GPU fatal error: " #x "() failed.\n"); exit(1); }
-#include "kernel.cl.c"
cl_platform_id cpx_mtx_platform_id;
cl_device_id cpx_mtx_device_id;
cl_context cpx_mtx_context;
cl_program program;
if (cpx_mtx_cache == NULL)
{
- program = clCreateProgramWithSource(cpx_mtx_context, 1, (const char*[]){src_kernel_cl}, NULL, &err);
+ program = clCreateProgramWithSource(cpx_mtx_context, 1, (const char*[]){kernel_gpu}, NULL, &err);
gpuerr(clCreateProgramWithSource);
err = clBuildProgram(program, 1, &cpx_mtx_device_id, NULL, NULL, NULL);
if (err != CL_SUCCESS)
cl_program program;
if (cpx_mtx_cache == NULL)
{
- program = clCreateProgramWithSource(cpx_mtx_context, 1, (const char*[]){src_kernel_cl}, NULL, &err);
+ program = clCreateProgramWithSource(cpx_mtx_context, 1, (const char*[]){kernel_gpu}, NULL, &err);
gpuerr(clCreateProgramWithSource);
err = clBuildProgram(program, 1, &cpx_mtx_device_id, NULL, NULL, NULL);
if (err != CL_SUCCESS)
err = clReleaseMemObject(memR); gpuerr(clReleaseMemObject);
}
-
-
-void cpx_mtx_knk_metal_2(float* ptrR, float* ptrA, float* ptrB, int rowsA, int colsA, int rowsB, int colsB)
+//This only works if ptrA is NxM where both N and X are divisible by two,
+// and ptrB is 2x2. If both are true, this is much more efficient than
+// the standard knk_metal() function.
+void cpx_mtx_knk_metal_2x2(float* ptrR, float* ptrA, float* ptrB, int rowsA, int colsA, int rowsB, int colsB)
{
int rowsR = rowsA * rowsB;
int colsR = colsA * colsB;
cl_program program;
if (cpx_mtx_cache == NULL)
{
- program = clCreateProgramWithSource(cpx_mtx_context, 1, (const char*[]){src_kernel_cl}, NULL, &err);
+ program = clCreateProgramWithSource(cpx_mtx_context, 1, (const char*[]){kernel_gpu}, NULL, &err);
gpuerr(clCreateProgramWithSource);
err = clBuildProgram(program, 1, &cpx_mtx_device_id, NULL, NULL, NULL);
if (err != CL_SUCCESS)
float gate5 = ptrB[5];
float gate6 = ptrB[6];
float gate7 = ptrB[7];
- cl_kernel kernel = clCreateKernel(program, "kernel_knk_3", &err); gpuerr(clCreateKernel);
+ cl_kernel kernel = clCreateKernel(program, "kernel_knk_2x2", &err); gpuerr(clCreateKernel);
err = clSetKernelArg(kernel, 0, sizeof(cl_mem), (void*)&memR); gpuerr(clSetKernelArg);
err = clSetKernelArg(kernel, 1, sizeof(cl_mem), (void*)&memA); gpuerr(clSetKernelArg);
err = clSetKernelArg(kernel, 2, sizeof(int), &rowsA); gpuerr(clSetKernelArg);
err = clSetKernelArg(kernel,11, sizeof(float), &gate7); gpuerr(clSetKernelArg);
//Run the program
- err = clEnqueueNDRangeKernel(cpx_mtx_command_queue, kernel, 1, NULL, (size_t[]){rowsR}, NULL, 0, NULL, NULL);
+ err = clEnqueueNDRangeKernel(cpx_mtx_command_queue, kernel, 1, NULL, (size_t[]){rowsR / 2}, NULL, 0, NULL, NULL);
gpuerr(clEnqueueNDRangeKernel);
//Wait for completion
const int rowsA,
const int colsA,
const int rowsB,
- const int colsB //{gpu_only}
- //const int colsB, {cpu_only}
- //const int get_global_id_0, {cpu_only}
- //const int get_global_id_1 {cpu_only}
+ const int colsB
+ , const int get_global_id_0, //{cpu_only}
+ const int get_global_id_1 //{cpu_only}
)
{
const int rowsR = rowsA;
const int colsR = colsB;
const int rowR = get_global_id(0); //{gpu_only}
const int colR = get_global_id(1); //{gpu_only}
- //const int rowR = get_global_id_0; {cpu_only}
- //const int colR = get_global_id_1; {cpu_only}
+ const int rowR = get_global_id_0; //{cpu_only}
+ const int colR = get_global_id_1; //{cpu_only}
+
float rR = 0;
float iR = 0;
const int posR = rowR * (colsR * 2) + (colR * 2);
const int rowsA,
const int colsA,
const int rowsB,
- const int colsB //{gpu_only}
- //const int colsB, {cpu_only}
- //const int get_global_id_0{cpu_only}
+ const int colsB
+ , const int get_global_id_0 //{cpu_only}
)
{
const int rowsR = rowsA * rowsB;
const int colsR = colsA * colsB;
const int rowR = get_global_id(0); //{gpu_only}
- //const int rowR = get_global_id_0; {cpu_only}
+ const int rowR = get_global_id_0; //{cpu_only}
for (int colR = 0; colR < colsR; colR++)
{
const int rowA = rowR / rowsB;
const int rowsA,
const int colsA,
const int rowsB,
- const int colsB //{gpu_only}
- //const int colsB, {cpu_only}
- //const int get_global_id_0, {cpu_only}
- //const int get_global_id_1 {cpu_only}
+ const int colsB
+ , const int get_global_id_0, //{cpu_only}
+ const int get_global_id_1 //{cpu_only}
)
{
//This is based off the equality that
const int rowR = get_global_id(0); //{gpu_only}
const int colR = get_global_id(1); //{gpu_only}
- //const int rowR = get_global_id_0; {cpu_only}
- //const int colR = get_global_id_1; {cpu_only}
+ const int rowR = get_global_id_0; //{cpu_only}
+ const int colR = get_global_id_1; //{cpu_only}
int posA, posB;
float rR = 0;
float iR = 0;
const float gate5,
const float gate6,
const float gate7
- //, const int get_global_id_0 {cpu_only}
+ , const int get_global_id_0 //{cpu_only}
)
{
const int rowsR = rowsA * 2;
const int colsR = colsA * 2;
const int rowR = get_global_id(0); //{gpu_only}
- //const int rowR = get_global_id_0; {cpu_only}
+ const int rowR = get_global_id_0; //{cpu_only}
for (int colR = 0; colR < colsR; colR++)
{
const int rowA = rowR / 2;
ptrR[rowR * (colsR * 2) + (colR * 2)] = first + lasts;
ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = outer + inner;
}
+}
+
+__kernel void kernel_knk_2x2
+(
+ __global float* ptrR,
+ __global float* ptrA,
+ const int rowsA,
+ const int colsA,
+ const float gate0,
+ const float gate1,
+ const float gate2,
+ const float gate3,
+ const float gate4,
+ const float gate5,
+ const float gate6,
+ const float gate7
+ , const int get_global_id_0 //{cpu_only}
+)
+{
+ const int rowsR = rowsA * 2;
+ const int colsR = colsA * 2;
+ const int rowR = get_global_id(0) * 2; //{gpu_only}
+ const int rowR = get_global_id_0 * 2; //{cpu_only}
+ for (int colR = 0; colR < colsR; colR += 2)
+ {
+ const int rowA = rowR / 2;
+ const int colA = colR / 2;
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+
+ for (int i = 0; i < 4; i++)
+ {
+ float rB, iB;
+ switch (i)
+ {
+ case 0: rB = gate0; iB = gate1; break;
+ case 1: rB = gate2; iB = gate3; break;
+ case 2: rB = gate4; iB = gate5; break;
+ case 3: rB = gate6; iB = gate7; break;
+ }
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+ switch (i)
+ {
+ case 0:
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 0) * 2)] = first + lasts;
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 0) * 2) + 1] = outer + inner;
+ break;
+ case 1:
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 1) * 2)] = first + lasts;
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 1) * 2) + 1] = outer + inner;
+ break;
+ case 2:
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 0) * 2)] = first + lasts;
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 0) * 2) + 1] = outer + inner;
+ break;
+ case 3:
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 1) * 2)] = first + lasts;
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 1) * 2) + 1] = outer + inner;
+ break;
+ }
+
+ }
+ }
}
\ No newline at end of file
+++ /dev/null
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-};
-unsigned int src_kernel_cl_len = 6541;
--- /dev/null
+void kernel_dot
+(
+ float* ptrR,
+ float* ptrA,
+ float* ptrB,
+ const int rowsA,
+ const int colsA,
+ const int rowsB,
+ const int colsB
+ , const int get_global_id_0, //{cpu_only}
+ const int get_global_id_1 //{cpu_only}
+)
+{
+ const int rowsR = rowsA;
+ const int colsR = colsB;
+ const int rowR = get_global_id_0; //{cpu_only}
+ const int colR = get_global_id_1; //{cpu_only}
+
+ float rR = 0;
+ float iR = 0;
+ const int posR = rowR * (colsR * 2) + (colR * 2);
+
+ for (int i = 0; i < colsA; i++)
+ {
+ const int posA = rowR * (colsA * 2) + (i * 2);
+ const int posB = i * (colsB * 2) + (colR * 2);
+
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+ const float rB = ptrB[posB];
+ const float iB = ptrB[posB + 1];
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+
+ rR += first + lasts;
+ iR += outer + inner;
+ }
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = rR;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = iR;
+}
+
+void kernel_knk
+(
+ float* ptrR,
+ float* ptrA,
+ float* ptrB,
+ const int rowsA,
+ const int colsA,
+ const int rowsB,
+ const int colsB
+ , const int get_global_id_0 //{cpu_only}
+)
+{
+ const int rowsR = rowsA * rowsB;
+ const int colsR = colsA * colsB;
+ const int rowR = get_global_id_0; //{cpu_only}
+ for (int colR = 0; colR < colsR; colR++)
+ {
+ const int rowA = rowR / rowsB;
+ const int colA = colR / colsB;
+ const int rowB = rowR % rowsB;
+ const int colB = colR % colsB;
+
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const int posB = rowB * (colsB * 2) + (colB * 2);
+
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+ const float rB = ptrB[posB];
+ const float iB = ptrB[posB + 1];
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = first + lasts;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = outer + inner;
+ }
+}
+
+void kernel_knk_2
+(
+ float* ptrR,
+ float* ptrA,
+ float* ptrB,
+ const int rowsA,
+ const int colsA,
+ const int rowsB,
+ const int colsB
+ , const int get_global_id_0, //{cpu_only}
+ const int get_global_id_1 //{cpu_only}
+)
+{
+ //This is based off the equality that
+ // (A knk I) dot (J knk B) = A knk B
+ // If I and J are identity matrices, then
+ // we don't even need to compute them
+ // to know their values at a given
+ // index, meaning we just need to
+ // carry out effectively a copy of
+ // the dot product procedure.
+ const int rowsI = rowsB;
+ const int colsI = rowsI;
+ const int rowsJ = colsA;
+ const int colsJ = rowsJ;
+ const int rowsX = rowsA * rowsI;
+ const int colsX = colsA * colsI;
+ const int rowsY = rowsJ * rowsB;
+ const int colsY = colsJ * colsB;
+ const int rowsR = rowsX;
+ const int colsR = colsY;
+
+ const int rowR = get_global_id_0; //{cpu_only}
+ const int colR = get_global_id_1; //{cpu_only}
+ int posA, posB;
+ float rR = 0;
+ float iR = 0;
+ const int posR = rowR * (colsR * 2) + (colR * 2);
+
+ for (int i = 0; i < colsX; i++)
+ {
+ const int rowX = rowR;
+ const int colX = i;
+ const int rowY = i;
+ const int colY = colR;
+
+ const int rowA = rowX / rowsI;
+ const int colA = colX / colsI;
+ const int rowI = rowX % rowsI;
+ const int colI = colX % colsI;
+
+ const int rowJ = rowY / rowsB;
+ const int colJ = colY / colsB;
+ const int rowB = rowY % rowsB;
+ const int colB = colY % colsB;
+
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const int posB = rowB * (colsB * 2) + (colB * 2);
+
+ const float rA = rowI == colI ? ptrA[posA] : 0;
+ const float iA = rowI == colI ? ptrA[posA + 1] : 0;
+ const float rB = rowJ == colJ ? ptrB[posB] : 0;
+ const float iB = rowJ == colJ ? ptrB[posB + 1] : 0;
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+
+ rR += first + lasts;
+ iR += outer + inner;
+ }
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = rR;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = iR;
+
+}
+
+void kernel_knk_3
+(
+ float* ptrR,
+ float* ptrA,
+ const int rowsA,
+ const int colsA,
+ const float gate0,
+ const float gate1,
+ const float gate2,
+ const float gate3,
+ const float gate4,
+ const float gate5,
+ const float gate6,
+ const float gate7
+ , const int get_global_id_0 //{cpu_only}
+)
+{
+ const int rowsR = rowsA * 2;
+ const int colsR = colsA * 2;
+ const int rowR = get_global_id_0; //{cpu_only}
+ for (int colR = 0; colR < colsR; colR++)
+ {
+ const int rowA = rowR / 2;
+ const int colA = colR / 2;
+ const int rowB = rowR % 2;
+ const int colB = colR % 2;
+ float rB, iB;
+ switch ((rowB << 1) | colB)
+ {
+ case 0b00: rB = gate0; iB = gate1; break;
+ case 0b01: rB = gate2; iB = gate3; break;
+ case 0b10: rB = gate4; iB = gate5; break;
+ case 0b11: rB = gate6; iB = gate7; break;
+ }
+
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+ ptrR[rowR * (colsR * 2) + (colR * 2)] = first + lasts;
+ ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = outer + inner;
+ }
+}
+
+void kernel_knk_2x2
+(
+ float* ptrR,
+ float* ptrA,
+ const int rowsA,
+ const int colsA,
+ const float gate0,
+ const float gate1,
+ const float gate2,
+ const float gate3,
+ const float gate4,
+ const float gate5,
+ const float gate6,
+ const float gate7
+ , const int get_global_id_0 //{cpu_only}
+)
+{
+ const int rowsR = rowsA * 2;
+ const int colsR = colsA * 2;
+ const int rowR = get_global_id_0 * 2; //{cpu_only}
+ for (int colR = 0; colR < colsR; colR += 2)
+ {
+ const int rowA = rowR / 2;
+ const int colA = colR / 2;
+ const int posA = rowA * (colsA * 2) + (colA * 2);
+ const float rA = ptrA[posA];
+ const float iA = ptrA[posA + 1];
+
+ for (int i = 0; i < 4; i++)
+ {
+ float rB, iB;
+ switch (i)
+ {
+ case 0: rB = gate0; iB = gate1; break;
+ case 1: rB = gate2; iB = gate3; break;
+ case 2: rB = gate4; iB = gate5; break;
+ case 3: rB = gate6; iB = gate7; break;
+ }
+
+ //(rA + iA)(rB + iB)
+ const float first = rA * rB;
+ const float outer = rA * iB;
+ const float inner = iA * rB;
+ const float lasts = iA * iB;
+ switch (i)
+ {
+ case 0:
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 0) * 2)] = first + lasts;
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 0) * 2) + 1] = outer + inner;
+ break;
+ case 1:
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 1) * 2)] = first + lasts;
+ ptrR[(rowR + 0) * (colsR * 2) + ((colR + 1) * 2) + 1] = outer + inner;
+ break;
+ case 2:
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 0) * 2)] = first + lasts;
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 0) * 2) + 1] = outer + inner;
+ break;
+ case 3:
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 1) * 2)] = first + lasts;
+ ptrR[(rowR + 1) * (colsR * 2) + ((colR + 1) * 2) + 1] = outer + inner;
+ break;
+ }
+
+ }
+ }
+}
+++ /dev/null
-void kernel_dot
-(
- float* ptrR,
- float* ptrA,
- float* ptrB,
- const int rowsA,
- const int colsA,
- const int rowsB,
- const int colsB,
- const int get_global_id_0,
- const int get_global_id_1
-)
-{
- const int rowsR = rowsA;
- const int colsR = colsB;
- const int rowR = get_global_id_0;
- const int colR = get_global_id_1;
- float rR = 0;
- float iR = 0;
- const int posR = rowR * (colsR * 2) + (colR * 2);
-
- for (int i = 0; i < colsA; i++)
- {
- const int posA = rowR * (colsA * 2) + (i * 2);
- const int posB = i * (colsB * 2) + (colR * 2);
-
- const float rA = ptrA[posA];
- const float iA = ptrA[posA + 1];
- const float rB = ptrB[posB];
- const float iB = ptrB[posB + 1];
-
- //(rA + iA)(rB + iB)
- const float first = rA * rB;
- const float outer = rA * iB;
- const float inner = iA * rB;
- const float lasts = iA * iB;
-
- rR += first + lasts;
- iR += outer + inner;
- }
- ptrR[rowR * (colsR * 2) + (colR * 2)] = rR;
- ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = iR;
-}
-
-void kernel_knk
-(
- float* ptrR,
- float* ptrA,
- float* ptrB,
- const int rowsA,
- const int colsA,
- const int rowsB,
- const int colsB,
- const int get_global_id_0
-)
-{
- const int rowsR = rowsA * rowsB;
- const int colsR = colsA * colsB;
- const int rowR = get_global_id_0;
- for (int colR = 0; colR < colsR; colR++)
- {
- const int rowA = rowR / rowsB;
- const int colA = colR / colsB;
- const int rowB = rowR % rowsB;
- const int colB = colR % colsB;
-
- const int posA = rowA * (colsA * 2) + (colA * 2);
- const int posB = rowB * (colsB * 2) + (colB * 2);
-
- const float rA = ptrA[posA];
- const float iA = ptrA[posA + 1];
- const float rB = ptrB[posB];
- const float iB = ptrB[posB + 1];
-
- //(rA + iA)(rB + iB)
- const float first = rA * rB;
- const float outer = rA * iB;
- const float inner = iA * rB;
- const float lasts = iA * iB;
- ptrR[rowR * (colsR * 2) + (colR * 2)] = first + lasts;
- ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = outer + inner;
- }
-}
-
-void kernel_knk_2
-(
- float* ptrR,
- float* ptrA,
- float* ptrB,
- const int rowsA,
- const int colsA,
- const int rowsB,
- const int colsB,
- const int get_global_id_0,
- const int get_global_id_1
-)
-{
- //This is based off the equality that
- // (A knk I) dot (J knk B) = A knk B
- // If I and J are identity matrices, then
- // we don't even need to compute them
- // to know their values at a given
- // index, meaning we just need to
- // carry out effectively a copy of
- // the dot product procedure.
- const int rowsI = rowsB;
- const int colsI = rowsI;
- const int rowsJ = colsA;
- const int colsJ = rowsJ;
- const int rowsX = rowsA * rowsI;
- const int colsX = colsA * colsI;
- const int rowsY = rowsJ * rowsB;
- const int colsY = colsJ * colsB;
- const int rowsR = rowsX;
- const int colsR = colsY;
-
- const int rowR = get_global_id_0;
- const int colR = get_global_id_1;
- int posA, posB;
- float rR = 0;
- float iR = 0;
- const int posR = rowR * (colsR * 2) + (colR * 2);
-
- for (int i = 0; i < colsX; i++)
- {
- const int rowX = rowR;
- const int colX = i;
- const int rowY = i;
- const int colY = colR;
-
- const int rowA = rowX / rowsI;
- const int colA = colX / colsI;
- const int rowI = rowX % rowsI;
- const int colI = colX % colsI;
-
- const int rowJ = rowY / rowsB;
- const int colJ = colY / colsB;
- const int rowB = rowY % rowsB;
- const int colB = colY % colsB;
-
- const int posA = rowA * (colsA * 2) + (colA * 2);
- const int posB = rowB * (colsB * 2) + (colB * 2);
-
- const float rA = rowI == colI ? ptrA[posA] : 0;
- const float iA = rowI == colI ? ptrA[posA + 1] : 0;
- const float rB = rowJ == colJ ? ptrB[posB] : 0;
- const float iB = rowJ == colJ ? ptrB[posB + 1] : 0;
-
- //(rA + iA)(rB + iB)
- const float first = rA * rB;
- const float outer = rA * iB;
- const float inner = iA * rB;
- const float lasts = iA * iB;
-
- rR += first + lasts;
- iR += outer + inner;
- }
- ptrR[rowR * (colsR * 2) + (colR * 2)] = rR;
- ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = iR;
-
-}
-
-void kernel_knk_3
-(
- float* ptrR,
- float* ptrA,
- const int rowsA,
- const int colsA,
- const float gate0,
- const float gate1,
- const float gate2,
- const float gate3,
- const float gate4,
- const float gate5,
- const float gate6,
- const float gate7
- , const int get_global_id_0
-)
-{
- const int rowsR = rowsA * 2;
- const int colsR = colsA * 2;
- const int rowR = get_global_id_0;
- for (int colR = 0; colR < colsR; colR++)
- {
- const int rowA = rowR / 2;
- const int colA = colR / 2;
- const int rowB = rowR % 2;
- const int colB = colR % 2;
- float rB, iB;
- switch ((rowB << 1) | colB)
- {
- case 0b00: rB = gate0; iB = gate1; break;
- case 0b01: rB = gate2; iB = gate3; break;
- case 0b10: rB = gate4; iB = gate5; break;
- case 0b11: rB = gate6; iB = gate7; break;
- }
-
- const int posA = rowA * (colsA * 2) + (colA * 2);
- const float rA = ptrA[posA];
- const float iA = ptrA[posA + 1];
-
- //(rA + iA)(rB + iB)
- const float first = rA * rB;
- const float outer = rA * iB;
- const float inner = iA * rB;
- const float lasts = iA * iB;
- ptrR[rowR * (colsR * 2) + (colR * 2)] = first + lasts;
- ptrR[rowR * (colsR * 2) + (colR * 2) + 1] = outer + inner;
- }
-}
--- /dev/null
+unsigned char kernel_gpu[] = {
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+};
+unsigned int kernel_gpu_len = 8045;
--- /dev/null
+unsigned char src_kernel_gpu_cl[] = {
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+};
+unsigned int src_kernel_gpu_cl_len = 7230;
Foleosoft / QAnsel.git / commitdiff