Restructured versions and file names - Changed main implementation
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+30
-102
@@ -1,22 +1,8 @@
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#include "tricorn_V4.h"
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static void* compute(void * args);
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static unsigned converge(float c_real, float c_imag, unsigned n);
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static size_t get_thread_count();
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typedef struct {
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unsigned n;
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_Bool color;
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_Bool flipped;
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float start_r;
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float start_i;
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float res;
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size_t start_row;
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size_t stop_row;
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size_t width;
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unsigned char* img;
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} compute_args;
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/**
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* @brief Generates a Tricorn fractal image using an optimized SIMD + Threading implementation.
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* @param start The starting complex coordinate (bottom-left or top-left depending on height sign).
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@@ -28,81 +14,36 @@ typedef struct {
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* @param img Pointer to the pre-allocated memory buffer where the bitmap data will be stored.
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*/
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void tricorn_V4(float complex start, size_t width, ssize_t height, float res, unsigned n, _Bool color, unsigned char* img){
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const ssize_t min_rows_per_thread = 10;
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_Bool flipped = height < 0;
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size_t abs_height = flipped ? -height : height;
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size_t thread_count = get_thread_count();
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if(height >= min_rows_per_thread)
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while((height/thread_count) < min_rows_per_thread) thread_count--;
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else thread_count = 1;
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const size_t y_step = (height+thread_count-1)/thread_count;
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const float start_r = crealf(start);
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const float start_i = cimagf(start);
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float directional_res = (flipped ? -1.0f: 1.0f)*res;
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pthread_t threads[thread_count];
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for(size_t i = 0; i < thread_count; i++){
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compute_args* args = malloc(sizeof(*args));
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args->start_r =start_r;
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args->start_i =start_i-i*directional_res*y_step;
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args->start_row = i*y_step;
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args->stop_row = abs_height < (args->start_row+y_step) ? abs_height: (args->start_row+y_step);
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args->width = width;
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args-> flipped = flipped;
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args->color = color;
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args->res = res;
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args->img = img;
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args->n = n;
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if(pthread_create(&threads[i],NULL,compute,args)){
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compute(args);
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free(args);
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args = NULL;
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}
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}
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for(size_t i = 0; i < thread_count; i++){
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pthread_join(threads[i],NULL);
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}
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return;
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}
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static void* compute(void * vargs){
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compute_args *args = vargs;
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vargs = NULL;
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int bytes_per_color = args->color ? 3 : 1;
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int bytesPerColor = color ? 3 : 1;
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// Absolute height for iteration purposes
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size_t simd_width = (args->width / 4) * 4;
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ssize_t actual_height = height < 0 ? (ssize_t)(-height) : height;
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ssize_t imag_step = height < 0 ? -1:1;
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size_t simd_width = (width / 4) * 4;
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float c_start_real = creal(start);
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float c_start_imag = cimag(start);
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float c_start_real = args->start_r;
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__m128 four = _mm_set1_ps(4.0f);
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__m128 minus_two = _mm_set1_ps(-2.0f);
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float c_imag = args->start_i;
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float c_imag = c_start_imag;
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__m128 c_imag_vector = _mm_set1_ps(c_imag);
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float four_res = 4 * args->res;
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float vertical_step = (args->flipped? -1.0f: 1.0f) * args->res;
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float four_res = 4 * res;
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float vertical_step = imag_step * res;
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__m128 vertical_step_vector = _mm_set1_ps(vertical_step);
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for(size_t y = args->start_row; y < args->stop_row;y++) {
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for(ssize_t y = 0; y < actual_height;y++) {
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size_t x = 0;
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__m128 c_real_vector = _mm_setr_ps(c_start_real,c_start_real + 1.0f*args->res,c_start_real + 2.0f*args->res, c_start_real + 3.0f*args->res);
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__m128 c_real_vector = _mm_setr_ps(c_start_real,c_start_real + 1.0f*res,c_start_real + 2.0f*res, c_start_real + 3.0f*res);
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for(; x < simd_width;x += 4) { //SIMD Loop
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__m128 real = _mm_setzero_ps();
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__m128 imag = _mm_setzero_ps();
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__m128i iterations = _mm_setzero_si128();
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__m128i active_mask = _mm_set1_epi32(-1);
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for(unsigned i = 0; i < args->n;i++) {
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for(unsigned i = 0; i < n;i++) {
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__m128 real2 = _mm_mul_ps(real,real);
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__m128 imag2 = _mm_mul_ps(imag,imag);
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@@ -126,7 +67,7 @@ static void* compute(void * vargs){
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__m128i times4 = _mm_slli_epi32(mod64, 2);
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__m128i values = _mm_sub_epi32(_mm_set1_epi32(255), times4);
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__m128i max_iter = _mm_set1_epi32(args->n);
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__m128i max_iter = _mm_set1_epi32(n);
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__m128i is_max = _mm_cmpeq_epi32(iterations, max_iter);
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values = _mm_andnot_si128(is_max, values);
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@@ -135,44 +76,40 @@ static void* compute(void * vargs){
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for(unsigned i = 0 ; i < 4;i++) {
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unsigned int value = value_array[i];
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size_t position = (y*args->width + (x+i)) * bytes_per_color;
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size_t position = (y*width + (x+i)) * bytesPerColor;
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if(!args->color) {
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args->img[position] = value;
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if(!color) {
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img[position] = value;
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}
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else {
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args->img[position] = ((value*3) % 255);
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args->img[position + 1] = ((value*2) % 255);
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args->img[position + 2] = ((value*5) % 255);
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img[position] = ((value*3) % 255);
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img[position + 1] = ((value*2) % 255);
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img[position + 2] = ((value*5) % 255);
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}
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}
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c_real_vector = _mm_add_ps(c_real_vector,_mm_set1_ps(four_res));
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}
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for(;x < args->width; x++) {
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float c_real = c_start_real + (x*args->res);
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unsigned int value = converge(c_real,c_imag,args->n);
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for(;x < width; x++) {
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float c_real = c_start_real + (x*res);
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unsigned int value = converge(c_real,c_imag,n);
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size_t position = (y*args->width + x) * bytes_per_color;
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size_t position = (y*width + x) * bytesPerColor;
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if(!args->color) {
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args->img[position] = value;
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if(!color) {
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img[position] = value;
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}
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else {
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args->img[position] = ((value*3) % 255);
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args->img[position + 1] = ((value*2) % 255);
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args->img[position + 2] = ((value*5) % 255);
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img[position] = ((value*3) % 255);
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img[position + 1] = ((value*2) % 255);
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img[position + 2] = ((value*5) % 255);
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}
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}
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c_imag -= vertical_step;
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c_imag_vector = _mm_sub_ps(c_imag_vector,vertical_step_vector);
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}
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free(args);
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args = NULL;
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return NULL;
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}
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// Iterative application of the equation given by the assignment
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static unsigned converge(float c_real, float c_imag, unsigned n) {
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float real = 0.0f;
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float imag = 0.0f;
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@@ -189,13 +126,4 @@ static unsigned converge(float c_real, float c_imag, unsigned n) {
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real = real2 - imag2 + c_real;
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}
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return 0;
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}
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static inline size_t get_thread_count(){
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#ifdef WIN32
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SYSTEM_INFO sysinfo;
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GetSystemInfo(&sysinfo);
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return sysinfo.dwNumberOfProcessors;
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#else
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return sysconf(_SC_NPROCESSORS_ONLN);
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#endif
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}
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