Files
kernels/benchmarks/vector/sgemm_nn/vx_vec_sgemm_nn.s
2019-11-24 09:05:07 -05:00

62 lines
1.2 KiB
ArmAsm

.type vx_vec_sgemm_nn, @function
.global vx_vec_sgemm_nn
# RV64IDV system
#
# void
# sgemm_nn(size_t n, size_t m, size_t k,
# int *a, // m * k matrix
# int *b, // k * n matrix
# int *c) // m * n matrix
#
# c += a*b (alpha=1, no transpose on input matrices)
# matrices stored in C row-major order
#
# for (int r = 0; r < k; r++) {
# for (int c = 0; c < m; c++) {
# for (int i = 0; i < n; i++) {
# c[r*k+i] += a[r*k+c]*b[i*n+c];
# }
# }
# }
# a0 = n, a1 = m, a2 = k
# a3 = a, a4 = b, a5 = c
# v0 = a, v2 = b, v2 = c
# x0 = i, x1 = c, x2 = r
#
vx_vec_sgemm_nn:
vsetvli t0, a2, e32, m8 # k
loop_row: # a[m][k]
vlw.v v0, (a3)
sub a2, a2, t0
slli t0, t0, 2
add a3, a3, t0
vsetvli t1, a1, e32, m8 # m
loop_col: # b[k][n]
vlw.v v1, (a4)
sub a1, a1, t1
slli t1, t1, 2
add a4, a4, t1
vsetvli t2, a0, e32, m8 # n
loop_iner:
vlw.v v2, (a5) # c[][]
sub a0, a0, t2
slli t2, t2, 2
add a5, a5, t2
bnez t2, loop_iner
bnez t1, loop_col
# vadd.vv v0, v0, v0
# vsw.v v0, (a5)
# add a5, a5, t0
bnez t0, loop_row
ret