| Line 19... |
Line 19... |
#include "coremark.h"
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#include "coremark.h"
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/*
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/*
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Topic: Description
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Topic: Description
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Matrix manipulation benchmark
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Matrix manipulation benchmark
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This very simple algorithm forms the basis of many more complex algorithms.
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This very simple algorithm forms the basis of many more complex
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algorithms.
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The tight inner loop is the focus of many optimizations (compiler as well as hardware based)
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The tight inner loop is the focus of many optimizations (compiler as
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and is thus relevant for embedded processing.
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well as hardware based) and is thus relevant for embedded processing.
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The total available data space will be divided to 3 parts:
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The total available data space will be divided to 3 parts:
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NxN Matrix A - initialized with small values (upper 3/4 of the bits all zero).
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NxN Matrix A - initialized with small values (upper 3/4 of the bits all
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NxN Matrix B - initialized with medium values (upper half of the bits all zero).
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zero). NxN Matrix B - initialized with medium values (upper half of the bits all
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NxN Matrix C - used for the result.
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zero). NxN Matrix C - used for the result.
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The actual values for A and B must be derived based on input that is not available at compile time.
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The actual values for A and B must be derived based on input that is not
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available at compile time.
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*/
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*/
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ee_s16 matrix_test(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B, MATDAT val);
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ee_s16 matrix_test(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B, MATDAT val);
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ee_s16 matrix_sum(ee_u32 N, MATRES *C, MATDAT clipval);
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ee_s16 matrix_sum(ee_u32 N, MATRES *C, MATDAT clipval);
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void matrix_mul_const(ee_u32 N, MATRES *C, MATDAT *A, MATDAT val);
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void matrix_mul_const(ee_u32 N, MATRES *C, MATDAT *A, MATDAT val);
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void matrix_mul_vect(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B);
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void matrix_mul_vect(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B);
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| Line 45... |
Line 47... |
#define matrix_clip(x,y) ((y) ? (x) & 0x0ff : (x) & 0x0ffff)
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#define matrix_clip(x,y) ((y) ? (x) & 0x0ff : (x) & 0x0ffff)
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#define matrix_big(x) (0xf000 | (x))
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#define matrix_big(x) (0xf000 | (x))
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#define bit_extract(x,from,to) (((x)>>(from)) & (~(0xffffffff << (to))))
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#define bit_extract(x,from,to) (((x)>>(from)) & (~(0xffffffff << (to))))
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#if CORE_DEBUG
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#if CORE_DEBUG
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void printmat(MATDAT *A, ee_u32 N, char *name) {
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void
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printmat(MATDAT *A, ee_u32 N, char *name)
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{
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ee_u32 i,j;
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ee_u32 i,j;
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ee_printf("Matrix %s [%dx%d]:\n",name,N,N);
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ee_printf("Matrix %s [%dx%d]:\n",name,N,N);
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for (i=0; i<N; i++) {
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for (i = 0; i < N; i++)
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for (j=0; j<N; j++) {
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{
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for (j = 0; j < N; j++)
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{
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if (j!=0)
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if (j!=0)
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ee_printf(",");
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ee_printf(",");
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ee_printf("%d",A[i*N+j]);
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ee_printf("%d",A[i*N+j]);
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}
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}
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ee_printf("\n");
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ee_printf("\n");
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}
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}
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}
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}
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void printmatC(MATRES *C, ee_u32 N, char *name) {
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void
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printmatC(MATRES *C, ee_u32 N, char *name)
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{
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ee_u32 i,j;
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ee_u32 i,j;
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ee_printf("Matrix %s [%dx%d]:\n",name,N,N);
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ee_printf("Matrix %s [%dx%d]:\n",name,N,N);
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for (i=0; i<N; i++) {
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for (i = 0; i < N; i++)
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for (j=0; j<N; j++) {
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{
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for (j = 0; j < N; j++)
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{
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if (j!=0)
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if (j!=0)
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ee_printf(",");
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ee_printf(",");
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ee_printf("%d",C[i*N+j]);
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ee_printf("%d",C[i*N+j]);
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}
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}
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ee_printf("\n");
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ee_printf("\n");
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| Line 76... |
Line 86... |
Benchmark function
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Benchmark function
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Iterate <matrix_test> N times,
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Iterate <matrix_test> N times,
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changing the matrix values slightly by a constant amount each time.
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changing the matrix values slightly by a constant amount each time.
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*/
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*/
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ee_u16 core_bench_matrix(mat_params *p, ee_s16 seed, ee_u16 crc) {
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ee_u16
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core_bench_matrix(mat_params *p, ee_s16 seed, ee_u16 crc)
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{
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ee_u32 N=p->N;
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ee_u32 N=p->N;
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MATRES *C=p->C;
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MATRES *C=p->C;
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MATDAT *A=p->A;
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MATDAT *A=p->A;
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MATDAT *B=p->B;
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MATDAT *B=p->B;
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MATDAT val=(MATDAT)seed;
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MATDAT val=(MATDAT)seed;
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| Line 112... |
Line 124... |
4 - Multiply a matrix by a matrix.
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4 - Multiply a matrix by a matrix.
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5 - Add a constant value to all elements of a matrix.
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5 - Add a constant value to all elements of a matrix.
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After the last step, matrix A is back to original contents.
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After the last step, matrix A is back to original contents.
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*/
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*/
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ee_s16 matrix_test(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B, MATDAT val) {
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ee_s16
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matrix_test(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B, MATDAT val)
|
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{
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ee_u16 crc=0;
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ee_u16 crc=0;
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MATDAT clipval=matrix_big(val);
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MATDAT clipval=matrix_big(val);
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matrix_add_const(N,A,val); /* make sure data changes */
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matrix_add_const(N,A,val); /* make sure data changes */
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#if CORE_DEBUG
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#if CORE_DEBUG
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| Line 141... |
Line 155... |
crc=crc16(matrix_sum(N,C,clipval),crc);
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crc=crc16(matrix_sum(N,C,clipval),crc);
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#if CORE_DEBUG
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#if CORE_DEBUG
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printmatC(C,N,"matrix_mul_matrix_bitextract");
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printmatC(C,N,"matrix_mul_matrix_bitextract");
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#endif
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#endif
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matrix_add_const(N,A,-val); /* return matrix to initial value */
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matrix_add_const(N, A, -val); /* return matrix to initial value */
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return crc;
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return crc;
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}
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}
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/* Function : matrix_init
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/* Function : matrix_init
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Initialize the memory block for matrix benchmarking.
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Initialize the memory block for matrix benchmarking.
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| Line 158... |
Line 172... |
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Returns:
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Returns:
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Matrix dimensions.
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Matrix dimensions.
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Note:
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Note:
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The seed parameter MUST be supplied from a source that cannot be determined at compile time
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The seed parameter MUST be supplied from a source that cannot be
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determined at compile time
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*/
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*/
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ee_u32 core_init_matrix(ee_u32 blksize, void *memblk, ee_s32 seed, mat_params *p) {
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ee_u32
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core_init_matrix(ee_u32 blksize, void *memblk, ee_s32 seed, mat_params *p)
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{
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ee_u32 N=0;
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ee_u32 N=0;
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MATDAT *A;
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MATDAT *A;
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MATDAT *B;
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MATDAT *B;
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ee_s32 order=1;
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ee_s32 order=1;
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MATDAT val;
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MATDAT val;
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ee_u32 i=0,j=0;
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ee_u32 i=0,j=0;
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if (seed==0)
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if (seed==0)
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seed=1;
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seed=1;
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while (j<blksize) {
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while (j < blksize)
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{
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i++;
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i++;
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j=i*i*2*4;
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j=i*i*2*4;
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}
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}
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N=i-1;
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N=i-1;
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A=(MATDAT *)align_mem(memblk);
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A=(MATDAT *)align_mem(memblk);
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B=A+N*N;
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B=A+N*N;
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for (i=0; i<N; i++) {
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for (i = 0; i < N; i++)
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for (j=0; j<N; j++) {
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{
|
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for (j = 0; j < N; j++)
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{
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seed = ( ( order * seed ) % 65536 );
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seed = ( ( order * seed ) % 65536 );
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val = (seed + order);
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val = (seed + order);
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val=matrix_clip(val,0);
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val=matrix_clip(val,0);
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B[i*N+j] = val;
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B[i*N+j] = val;
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val = (val + order);
|
val = (val + order);
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| Line 202... |
Line 222... |
#endif
|
#endif
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return N;
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return N;
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}
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}
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|
|
/* Function: matrix_sum
|
/* Function: matrix_sum
|
Calculate a function that depends on the values of elements in the matrix.
|
Calculate a function that depends on the values of elements in the
|
|
matrix.
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For each element, accumulate into a temporary variable.
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For each element, accumulate into a temporary variable.
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As long as this value is under the parameter clipval,
|
As long as this value is under the parameter clipval,
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add 1 to the result if the element is bigger then the previous.
|
add 1 to the result if the element is bigger then the previous.
|
|
|
Otherwise, reset the accumulator and add 10 to the result.
|
Otherwise, reset the accumulator and add 10 to the result.
|
*/
|
*/
|
ee_s16 matrix_sum(ee_u32 N, MATRES *C, MATDAT clipval) {
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ee_s16
|
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matrix_sum(ee_u32 N, MATRES *C, MATDAT clipval)
|
|
{
|
MATRES tmp=0,prev=0,cur=0;
|
MATRES tmp=0,prev=0,cur=0;
|
ee_s16 ret=0;
|
ee_s16 ret=0;
|
ee_u32 i,j;
|
ee_u32 i,j;
|
for (i=0; i<N; i++) {
|
for (i = 0; i < N; i++)
|
for (j=0; j<N; j++) {
|
{
|
|
for (j = 0; j < N; j++)
|
|
{
|
cur=C[i*N+j];
|
cur=C[i*N+j];
|
tmp+=cur;
|
tmp+=cur;
|
if (tmp>clipval) {
|
if (tmp > clipval)
|
|
{
|
ret+=10;
|
ret+=10;
|
tmp=0;
|
tmp=0;
|
} else {
|
}
|
|
else
|
|
{
|
ret += (cur>prev) ? 1 : 0;
|
ret += (cur>prev) ? 1 : 0;
|
}
|
}
|
prev=cur;
|
prev=cur;
|
}
|
}
|
}
|
}
|
| Line 235... |
Line 263... |
|
|
/* Function: matrix_mul_const
|
/* Function: matrix_mul_const
|
Multiply a matrix by a constant.
|
Multiply a matrix by a constant.
|
This could be used as a scaler for instance.
|
This could be used as a scaler for instance.
|
*/
|
*/
|
void matrix_mul_const(ee_u32 N, MATRES *C, MATDAT *A, MATDAT val) {
|
void
|
|
matrix_mul_const(ee_u32 N, MATRES *C, MATDAT *A, MATDAT val)
|
|
{
|
ee_u32 i,j;
|
ee_u32 i,j;
|
for (i=0; i<N; i++) {
|
for (i = 0; i < N; i++)
|
for (j=0; j<N; j++) {
|
{
|
|
for (j = 0; j < N; j++)
|
|
{
|
C[i*N+j]=(MATRES)A[i*N+j] * (MATRES)val;
|
C[i*N+j]=(MATRES)A[i*N+j] * (MATRES)val;
|
}
|
}
|
}
|
}
|
}
|
}
|
|
|
/* Function: matrix_add_const
|
/* Function: matrix_add_const
|
Add a constant value to all elements of a matrix.
|
Add a constant value to all elements of a matrix.
|
*/
|
*/
|
void matrix_add_const(ee_u32 N, MATDAT *A, MATDAT val) {
|
void
|
|
matrix_add_const(ee_u32 N, MATDAT *A, MATDAT val)
|
|
{
|
ee_u32 i,j;
|
ee_u32 i,j;
|
for (i=0; i<N; i++) {
|
for (i = 0; i < N; i++)
|
for (j=0; j<N; j++) {
|
{
|
|
for (j = 0; j < N; j++)
|
|
{
|
A[i*N+j] += val;
|
A[i*N+j] += val;
|
}
|
}
|
}
|
}
|
}
|
}
|
|
|
/* Function: matrix_mul_vect
|
/* Function: matrix_mul_vect
|
Multiply a matrix by a vector.
|
Multiply a matrix by a vector.
|
This is common in many simple filters (e.g. fir where a vector of coefficients is applied to the matrix.)
|
This is common in many simple filters (e.g. fir where a vector of
|
|
coefficients is applied to the matrix.)
|
*/
|
*/
|
void matrix_mul_vect(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B) {
|
void
|
|
matrix_mul_vect(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B)
|
|
{
|
ee_u32 i,j;
|
ee_u32 i,j;
|
for (i=0; i<N; i++) {
|
for (i = 0; i < N; i++)
|
|
{
|
C[i]=0;
|
C[i]=0;
|
for (j=0; j<N; j++) {
|
for (j = 0; j < N; j++)
|
|
{
|
C[i]+=(MATRES)A[i*N+j] * (MATRES)B[j];
|
C[i]+=(MATRES)A[i*N+j] * (MATRES)B[j];
|
}
|
}
|
}
|
}
|
}
|
}
|
|
|
/* Function: matrix_mul_matrix
|
/* Function: matrix_mul_matrix
|
Multiply a matrix by a matrix.
|
Multiply a matrix by a matrix.
|
Basic code is used in many algorithms, mostly with minor changes such as scaling.
|
Basic code is used in many algorithms, mostly with minor changes such as
|
|
scaling.
|
*/
|
*/
|
void matrix_mul_matrix(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B) {
|
void
|
|
matrix_mul_matrix(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B)
|
|
{
|
ee_u32 i,j,k;
|
ee_u32 i,j,k;
|
for (i=0; i<N; i++) {
|
for (i = 0; i < N; i++)
|
for (j=0; j<N; j++) {
|
{
|
|
for (j = 0; j < N; j++)
|
|
{
|
C[i*N+j]=0;
|
C[i*N+j]=0;
|
for(k=0;k<N;k++)
|
for(k=0;k<N;k++)
|
{
|
{
|
C[i*N+j]+=(MATRES)A[i*N+k] * (MATRES)B[k*N+j];
|
C[i*N+j]+=(MATRES)A[i*N+k] * (MATRES)B[k*N+j];
|
}
|
}
|
| Line 289... |
Line 335... |
}
|
}
|
}
|
}
|
|
|
/* Function: matrix_mul_matrix_bitextract
|
/* Function: matrix_mul_matrix_bitextract
|
Multiply a matrix by a matrix, and extract some bits from the result.
|
Multiply a matrix by a matrix, and extract some bits from the result.
|
Basic code is used in many algorithms, mostly with minor changes such as scaling.
|
Basic code is used in many algorithms, mostly with minor changes such as
|
|
scaling.
|
*/
|
*/
|
void matrix_mul_matrix_bitextract(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B) {
|
void
|
|
matrix_mul_matrix_bitextract(ee_u32 N, MATRES *C, MATDAT *A, MATDAT *B)
|
|
{
|
ee_u32 i,j,k;
|
ee_u32 i,j,k;
|
for (i=0; i<N; i++) {
|
for (i = 0; i < N; i++)
|
for (j=0; j<N; j++) {
|
{
|
|
for (j = 0; j < N; j++)
|
|
{
|
C[i*N+j]=0;
|
C[i*N+j]=0;
|
for(k=0;k<N;k++)
|
for(k=0;k<N;k++)
|
{
|
{
|
MATRES tmp=(MATRES)A[i*N+k] * (MATRES)B[k*N+j];
|
MATRES tmp=(MATRES)A[i*N+k] * (MATRES)B[k*N+j];
|
C[i*N+j]+=bit_extract(tmp,2,4)*bit_extract(tmp,5,7);
|
C[i*N+j]+=bit_extract(tmp,2,4)*bit_extract(tmp,5,7);
|
