v_smfmac_f32_32x32x16_f16 GPU Native ISA AMD Matrix

V SMFMAC F32 32X32X16 F16 Vector Packed Arithmetic

v_smfmac_f32_32x32x16_f16

Multiply the 32x16 sparse matrix in the first input by the 16x32 matrix in the second input and accumulate the result into the 32x32 matrix stored in…

Encoding

Verified bit-level encoding data is not yet available for this instruction. The instruction-format classification below (VOP3P) is well-documented and stable; exact per-target opcode/field bit positions have not yet been imported from a verified source.
Format VOP3P
Execution Unit

Operands

Operand details have not yet been curated for this instruction.

GFX Target Compatibility

Per-target GFX compatibility has not yet been verified for this instruction.

This instruction performs 8 passes.

Related

More in Vector Packed Arithmetic

Reference

AMDGPU / GFX ISA

Description

Multiply the 32x16 sparse matrix in the first input by the 16x32 matrix in the second input and accumulate the result into the 32x32 matrix stored in the destination registers using fused multiply add. Sparse indexes for the first matrix are given in the third input.

Semantics

D = A (sparse 32x16) * B (16x32) + D (32x32) Each operand contains a single matrix whose elements are distributed across all lanes of the wave. A single matrix multiply is computed and the row-column dot products are distributed across the vector ALU for higher performance. Matrix A is a sparse matrix in half-precision float format, consuming half the physical storage of a dense matrix with same dimensions. Matrix B is a dense matrix in half-precision float format. Matrix D is single-precision float format and is both the output and the accumulate input. 2 out of every 4 elements on the K axis of matrix A are zero. The sparse indexes are used to determine which 2 elements are zero.

Sources