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Math: Optimize 16 Bit elementwise matrix multiplication function
Implemented optimizations in the 16-bit elementwise matrix multiplication function by changing accumulator data type from int64_t to int32_t. This reduces the instruction cycle count i.e. reducing cycle count by ~51.18%. Enhance pointer arithmetic within loops for better readability and compiler optimization opportunities Eliminate unnecessary conditionals by directly handling Q0 data in the algorithm's core logic Update fractional bit shift and rounding logic for more accurate fixed-point calcualations Performance gains from these optimizations include a 1.08% reduction in memory usage for the elementwise matrix multiplication. Signed-off-by: Shriram Shastry <malladi.sastry@intel.com>
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src/math/matrix.c

Lines changed: 17 additions & 18 deletions
Original file line numberDiff line numberDiff line change
@@ -119,28 +119,27 @@ int mat_multiply_elementwise(struct mat_matrix_16b *a, struct mat_matrix_16b *b,
119119
int16_t *x = a->data;
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int16_t *y = b->data;
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int16_t *z = c->data;
122-
int64_t p;
122+
int32_t prod;
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int i;
124-
const int shift_minus_one = a->fractions + b->fractions - c->fractions - 1;
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126-
/* If all data is Q0 */
127-
if (shift_minus_one == -1) {
128-
for (i = 0; i < a->rows * a->columns; i++) {
125+
/* Compute the total number of elements in the matrices */
126+
const int total_elements = a->rows * a->columns;
127+
/* Compute the required bit shift based on the fractional part of each matrix */
128+
const int shift = a->fractions + b->fractions - c->fractions - 1;
129+
130+
/* Perform multiplication with or without adjusting the fractional bits */
131+
if (shift == -1) {
132+
/* Direct multiplication when no adjustment for fractional bits is needed */
133+
for (i = 0; i < total_elements; i++, x++, y++, z++)
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*z = *x * *y;
130-
x++;
131-
y++;
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z++;
135+
} else {
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/* Multiplication with rounding to account for the fractional bits */
137+
for (i = 0; i < total_elements; i++, x++, y++, z++) {
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/* Multiply elements as int32_t */
139+
prod = (int32_t)(*x) * *y;
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/* Adjust and round the result */
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*z = (int16_t)(((prod >> shift) + 1) >> 1);
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}
134-
135-
return 0;
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}
137-
138-
for (i = 0; i < a->rows * a->columns; i++) {
139-
p = (int32_t)(*x) * *y;
140-
*z = (int16_t)(((p >> shift_minus_one) + 1) >> 1); /*Shift to Qx.y */
141-
x++;
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y++;
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z++;
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}
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return 0;

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