1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
|
/*******************************************************
* Copyright (c) 2015-2019, ArrayFire
* All rights reserved.
*
* This file is distributed under 3-clause BSD license.
* The complete license agreement can be obtained at:
* http://arrayfire.com/licenses/BSD-3-Clause
********************************************************/
#include <forge.h>
#include "cl_helpers.h"
#include <mutex>
#include <vector>
#include <sstream>
#include <iostream>
#include <iterator>
#include <algorithm>
using namespace cl;
using namespace std;
const unsigned DIMX = 512;
const unsigned DIMY = 512;
const unsigned IMG_SIZE = DIMX * DIMY * 4;
#define USE_FORGE_OPENCL_COPY_HELPERS
#include <ComputeCopy.h>
static const std::string fractal_ocl_kernel =
"float magnitude(float2 a)\n"
"{\n"
" return sqrt(a.s0*a.s0+a.s1*a.s1);\n"
"}\n"
"\n"
"float2 mul(float2 a, float2 b)\n"
"{\n"
" return (float2)(a.s0*b.s0-a.s1*b.s1, a.s1*b.s0+a.s0*b.s1);\n"
"}\n"
"\n"
"float2 add(float2 a, float2 b)\n"
"{\n"
" return (float2)(a.s0+b.s0, a.s1+b.s1);\n"
"}\n"
"\n"
"int pixel(int x, int y, int width, int height)\n"
"{\n"
"\n"
" const float scale = 1.5;\n"
" float jx = scale * (float)(width/2.0f - x)/(width/2.0f);\n"
" float jy = scale * (float)(height/2.0f - y)/(height/2.0f);\n"
"\n"
" float2 c = (float2)(-0.8f, 0.156f);\n"
" float2 a = (float2)(jx, jy);\n"
"\n"
" for (int i=0; i<200; i++) {\n"
" a = add(mul(a, a), c);\n"
" if (magnitude(a) > 1000.0f)\n"
" return 0;\n"
" }\n"
"\n"
" return 1;\n"
"}\n"
"\n"
"kernel\n"
"void julia(global unsigned char* out, const unsigned w, const unsigned h)\n"
"{\n"
" int x = get_group_id(0) * get_local_size(0) + get_local_id(0);\n"
" int y = get_group_id(1) * get_local_size(1) + get_local_id(1);\n"
"\n"
" if (x<w && y<h) {\n"
" int offset = x + y * w;\n"
" int juliaValue = pixel(x, y, w, h);\n"
" out[offset*4 + 1] = 255 * juliaValue;\n"
" out[offset*4 + 0] = 0;\n"
" out[offset*4 + 2] = 0;\n"
" out[offset*4 + 3] = 255;\n"
" }\n"
"}\n";
inline int divup(int a, int b)
{
return (a+b-1)/b;
}
void kernel(cl::Buffer& devOut, cl::CommandQueue& queue)
{
static std::once_flag compileFlag;
static cl::Program prog;
static cl::Kernel kern;
std::call_once(compileFlag,
[queue]() {
prog = cl::Program(queue.getInfo<CL_QUEUE_CONTEXT>(), fractal_ocl_kernel, true);
kern = cl::Kernel(prog, "julia");
});
auto juliaOp = cl::KernelFunctor<Buffer, unsigned, unsigned>(kern);
static const NDRange local(8, 8);
NDRange global(local[0] * divup(DIMX, local[0]),
local[1] * divup(DIMY, local[1]));
juliaOp(EnqueueArgs(queue, global, local), devOut, DIMX, DIMY);
}
int main(void)
{
try {
/*
* First Forge call should be a window creation call
* so that necessary OpenGL context is created for any
* other forge::* object to be created successfully
*/
forge::Window wnd(DIMX, DIMY, "Fractal Demo");
wnd.makeCurrent();
/* Create an image object which creates the necessary
* textures and pixel buffer objects to hold the image
* */
forge::Image img(DIMX, DIMY, FG_RGBA, forge::u8);
/*
* Helper function to create a CLGL interop context.
* This function checks for if the extension is available
* and creates the context on the appropriate device.
* Note: context and queue are defined in cl_helpers.h
*/
context = createCLGLContext(wnd);
Device device = context.getInfo<CL_CONTEXT_DEVICES>()[0];
queue = CommandQueue(context, device);
/* copy your data into the pixel buffer object exposed by
* forge::Image class and then proceed to rendering.
* To help the users with copying the data from compute
* memory to display memory, Forge provides copy headers
* along with the library to help with this task
*/
cl::Buffer devOut(context, CL_MEM_READ_WRITE, IMG_SIZE);
kernel(devOut, queue);
GfxHandle* handle = 0;
// create GL-CPU interop buffer
createGLBuffer(&handle, img.pixels(), FORGE_IMAGE_BUFFER);
// copy the data from compute buffer to graphics buffer
copyToGLBuffer(handle, (ComputeResourceHandle)devOut(), img.size());
do {
wnd.draw(img);
} while(!wnd.close());
// destroy GL-CPU Interop buffer
releaseGLBuffer(handle);
}catch (forge::Error err) {
std::cout << err.what() << "(" << err.err() << ")" << std::endl;
} catch (cl::Error err) {
std::cout << err.what() << "(" << err.err() << ")" << std::endl;
}
return 0;
}
|
