vdpbf16ps
Dot Product BFloat16 to Packed Single
VDPBF16PS zmm1 {k1}, zmm2, zmm3/m512
BFloat16 dot product accumulating to Float32.
Details
Dot product instruction that multiplies pairs of bfloat16 elements from two sources and accumulates the products into FP32 results, with 32-bit precision accumulation improving accuracy for neural network operations. Each 512-bit register holds 8 groups of 4 bfloat16 values (32 elements total) producing 8 FP32 sums. Requires AVX-512-BF16; no arithmetic flags are modified; results are written to zmm1 under EVEX mask control.
Pseudocode Operation
for i = 0 to 7:
if (k1[i] == 1):
sum_fp32 ← zmm1[32*i:32*i+31] // accumulation value
for j = 0 to 3:
bf16_a ← zmm2[16*(4*i+j):16*(4*i+j)+15]
bf16_b ← zmm3/m512[16*(4*i+j):16*(4*i+j)+15]
fp32_a ← convert_bf16_to_fp32(bf16_a)
fp32_b ← convert_bf16_to_fp32(bf16_b)
sum_fp32 ← sum_fp32 + (fp32_a * fp32_b)
zmm1[32*i:32*i+31] ← sum_fp32
else if (EVEX.z == 1):
zmm1[32*i:32*i+31] ← 0
// else zmm1[32*i:32*i+31] unchanged
Example
VDPBF16PS zmm1, zmm2, zmm3/m512
Encoding
Binary Layout
EVEX
+0
52
+4
Operands
-
dest
512-bit ZMM AVX-512 register -
src1
512-bit ZMM AVX-512 register -
src2
512-bit ZMM AVX-512 register or Memory operand
Reference (Intel® SDM)
Instruction Forms
| Opcode | Instruction | Op/En | 64/32-bit Mode | CPUID | Description |
|---|---|---|---|---|---|
| EVEX.128.F3.0F38.W0 52 /r | VDPBF16PS xmm1{k1}{z}, xmm2, xmm3/m128/m32bcst | A | V/V | (AVX512_BF16 AND AVX512VL) OR AVX10.1 | Multiply BF16 pairs from xmm2 and xmm3/m128, and accumulate the resulting packed single precision results in xmm1 with writemask k1. |
| EVEX.256.F3.0F38.W0 52 /r | VDPBF16PS ymm1{k1}{z}, ymm2, ymm3/m256/m32bcst | A | V/V | (AVX512_BF16 AND AVX512VL) OR AVX10.1 | Multiply BF16 pairs from ymm2 and ymm3/m256, and accumulate the resulting packed single precision results in ymm1 with writemask k1. |
| EVEX.512.F3.0F38.W0 52 /r | VDPBF16PS zmm1{k1}{z}, zmm2, zmm3/m512/m32bcst | A | V/V | (AVX512_BF16 AND AVX512F) OR AVX10.1 | Multiply BF16 pairs from zmm2 and zmm3/m512, and accumulate the resulting packed single precision results in zmm1 with writemask k1. |
Instruction Operand Encoding
| Op/En | Tuple Type | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
|---|---|---|---|---|---|
| A | Full | ModRM:reg (w) | EVEX.vvvv (r) | ModRM:r/m (r) | N/A |
Description
This instruction performs a SIMD dot-product of two BF16 pairs and accumulates into a packed single precision register.
“Round to nearest even” rounding mode is used when doing each accumulation of the FMA. Output denormals are always flushed to zero and input denormals are always treated as zero. MXCSR is not consulted nor updated.
NaN propagation priorities are described in Table 5-4.
Table 5-4. NaN Propagation Priorities
NaN Priority Description Comments
1 src1 low is NaN
Lower part has priority over upper part, i.e., it overrides the upper part.
2 src2 low is NaN
3 src1 high is NaN
Upper part may be overridden if lower has NaN.
4 src2 high is NaN
5 srcdest is NaN Dest is propagated if no NaN is encountered by src2.
Operation
Define make_fp32(x): // The x parameter is bfloat16. Pack it in to upper 16b of a dword. The bit pattern is a legal fp32 value. Return that bit pattern. dword := 0 dword[31:16] := x RETURN dword VDPBF16PS—Dot Product of BF16 Pairs Accumulated Into Packed Single Precision Vol. 2C 5-160 VDPBF16PS srcdest, src1, src2 VL = (128, 256, 512) KL = VL/32 origdest := srcdest FOR i := 0 to KL-1: IF k1[ i ] or *no writemask*: IF src2 is memory and evex.b == 1: t := src2.dword[0] ELSE: t := src2.dword[ i ] // FP32 FMA with daz in, ftz out and RNE rounding. MXCSR neither consulted nor updated. srcdest.fp32[ i ] += make_fp32(src1.bfloat16[2*i+1]) * make_fp32(t.bfloat[1]) srcdest.fp32[ i ] += make_fp32(src1.bfloat16[2*i+0]) * make_fp32(t.bfloat[0]) ELSE IF *zeroing*: srcdest.dword[ i ] := 0 ELSE: // merge masking, dest element unchanged srcdest.dword[ i ] := origdest.dword[ i ] srcdest[MAXVL-1:VL] := 0
Intel C/C++ Compiler Intrinsic Equivalent
VDPBF16PS __m128 _mm_dpbf16_ps(__m128, __m128bh, __m128bh); VDPBF16PS __m128 _mm_mask_dpbf16_ps( __m128, __mmask8, __m128bh, __m128bh); VDPBF16PS __m128 _mm_maskz_dpbf16_ps(__mmask8, __m128, __m128bh, __m128bh); VDPBF16PS __m256 _mm256_dpbf16_ps(__m256, __m256bh, __m256bh); VDPBF16PS __m256 _mm256_mask_dpbf16_ps(__m256, __mmask8, __m256bh, __m256bh); VDPBF16PS __m256 _mm256_maskz_dpbf16_ps(__mmask8, __m256, __m256bh, __m256bh); VDPBF16PS __m512 _mm512_dpbf16_ps(__m512, __m512bh, __m512bh); VDPBF16PS __m512 _mm512_mask_dpbf16_ps(__m512, __mmask16, __m512bh, __m512bh); VDPBF16PS __m512 _mm512_maskz_dpbf16_ps(__mmask16, __m512, __m512bh, __m512bh);
Exceptions
SIMD Floating-Point Exceptions
None.
Other Exceptions
See Table 2-51, “Type E4 Class Exception Conditions.”
VDPBF16PS—Dot Product of BF16 Pairs Accumulated Into Packed Single Precision Vol. 2C 5-161