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68 lines
2.5 KiB
Plaintext
68 lines
2.5 KiB
Plaintext
// Copyright (c) 2026 Advanced Micro Devices, Inc.
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// All rights reserved.
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#include <hip/hip_runtime.h>
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#include <hip/hip_fp16.h>
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/// 16x16 MFMA matrix multiply kernel for DBT translation testing.
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///
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/// Computes C = A * B using v_mfma_f32_16x16x16_f16 where:
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/// A is 16x16 FP16 (row-major)
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/// B is 16x16 FP16 (row-major)
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/// C is 16x16 FP32 (row-major)
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///
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/// One workgroup of 64 threads computes the entire 16x16 output.
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/// The MFMA instruction distributes the 16x16x16 multiply-accumulate
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/// across registers and lanes per the GFX9 MFMA convention:
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/// Output: reg = row % 4, lane = (row/4)*16 + col
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/// Input: packed f16 pairs loaded cooperatively by all 64 lanes
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using v4f32 = __attribute__((ext_vector_type(4))) float;
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using v4f16 = __attribute__((ext_vector_type(4))) _Float16;
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extern "C" __global__ void matmul_mfma_16x16(const _Float16 *__restrict__ A,
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const _Float16 *__restrict__ B,
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float *__restrict__ C) {
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constexpr unsigned M = 16;
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constexpr unsigned N = 16;
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constexpr unsigned K = 16;
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unsigned lane = threadIdx.x;
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// Load A matrix into src0 (v4f16 = 64-bit = 4 packed f16).
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// Lane mapping for 16x16x16 MFMA src0:
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// lane%16 → matrix row, (lane/16)*4 → K offset base
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// Each lane holds 4 consecutive f16 from A[row][k_base..k_base+3]
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unsigned a_row = lane % M;
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unsigned a_k = (lane / M) * 4;
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v4f16 src_a = {
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(a_k + 0 < K) ? A[a_row * K + a_k + 0] : (_Float16)0,
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(a_k + 1 < K) ? A[a_row * K + a_k + 1] : (_Float16)0,
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(a_k + 2 < K) ? A[a_row * K + a_k + 2] : (_Float16)0,
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(a_k + 3 < K) ? A[a_row * K + a_k + 3] : (_Float16)0,
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};
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// Load B matrix into src1 (v4f16 = 64-bit = 4 packed f16).
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unsigned b_col = lane % N;
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unsigned b_k = (lane / N) * 4;
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v4f16 src_b = {
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(b_k + 0 < K) ? B[(b_k + 0) * N + b_col] : (_Float16)0,
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(b_k + 1 < K) ? B[(b_k + 1) * N + b_col] : (_Float16)0,
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(b_k + 2 < K) ? B[(b_k + 2) * N + b_col] : (_Float16)0,
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(b_k + 3 < K) ? B[(b_k + 3) * N + b_col] : (_Float16)0,
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};
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// Accumulator initialized to zero (4 x f32 per lane = 128-bit)
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v4f32 acc = {0.0f, 0.0f, 0.0f, 0.0f};
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// MFMA: C += A * B
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acc = __builtin_amdgcn_mfma_f32_16x16x16f16(src_a, src_b, acc, 0, 0, 0);
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// Store: MFMA 16x16 output layout:
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// For each lane: col = lane % 16, row_group = lane / 16
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// acc[r] holds C[row_group*4 + r][col]
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unsigned col = lane % N;
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unsigned row_group = lane / N;
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for (unsigned r = 0; r < 4; ++r)
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C[(row_group * 4 + r) * N + col] = acc[r];
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}
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