vmulq_f16ADD TO COMPARE ADDED TO COMPARE
Arm 64-bit (64 bits)/ NEON
View official documentation
Purpose:
VMUL multiplies corresponding elements in two vectors. Elements in the result vector and input vectors have the same width.
Result:
float16x8_t
Example:
#include <arm_neon.h>
#include <stdio.h>
int main() {
float16x8_t a = {
1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0
};
float16x8_t b = {
8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0
};
float16x8_t result = vmulq_f16(a, b);
float16_t* res = (float16_t*)&result;
for(int i = 0; i < 8; i++) {
printf("%f ", (float)res[i]);
}
return 0;
}Prototypes
Assembly Instruction:
FMUL
Usage:
float16x8_t result =
vmulq_f16(
float16x8_t a, float16x8_t b
)
Performance Metrics:
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Get access to detailed performance metrics including latency, throughput, and CPU-specific benchmarks for this intrinsic.
SIMD Intrinsics Summary
| SIMD Engines: | 6 |
| C Intrinsics: | 10444 |
| NEON: | 4353 |
| AVX2: | 405 |
| AVX512: | 4717 |
| SSE4.2: | 598 |
| VSX: | 192 |
| IBM-Z: | 179 |