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Optimize RISC-V RVV omatcopy_ct implementation with advanced vectorization
- Implement block-based memory access optimization (64x64 blocks) - Add 4-way loop unrolling to reduce loop overhead - Optimize VSETVL calls to improve vectorization efficiency - Add software prefetching for better memory access patterns - Implement fast path for small matrices (<64x64) - Add cross-compilation script for RISC-V testing - Improve boundary handling with separate main/tail loops Co-authored-by: gong-flying <gongxiaofei24@iscas.ac.cn>
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cross_compile.sh

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Original file line numberDiff line numberDiff line change
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#!/bin/bash
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# RISC-V交叉编译脚本
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# 用于在x86_64主机上编译RISC-V二进制文件,然后传输到真实RISC-V服务器测试
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set -e
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echo "=== RISC-V交叉编译脚本 ==="
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echo "编译器: riscv64-unknown-linux-gnu-gcc"
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echo "目标架构: RISC-V 64位"
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echo ""
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# 检查交叉编译器是否存在
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if ! command -v riscv64-unknown-linux-gnu-gcc &> /dev/null; then
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echo "错误: 未找到 riscv64-unknown-linux-gnu-gcc 交叉编译器"
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echo "请确保已安装RISC-V工具链"
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exit 1
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fi
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echo "编译器版本:"
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riscv64-unknown-linux-gnu-gcc --version | head -1
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echo ""
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# 编译标量版本
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echo "编译标量版本..."
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riscv64-unknown-linux-gnu-gcc -O3 -march=rv64gc -static \
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-o test_omatcopy_ct_scalar test_omatcopy_ct.c -lm
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echo "✓ 标量版本编译完成: test_omatcopy_ct_scalar"
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# 编译RVV版本
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echo "编译RVV版本..."
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riscv64-unknown-linux-gnu-gcc -O3 -march=rv64gcv -DUSE_RVV -static \
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-o test_omatcopy_ct_rvv test_omatcopy_ct.c -lm
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echo "✓ RVV版本编译完成: test_omatcopy_ct_rvv"
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# 显示文件信息
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echo ""
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echo "=== 编译结果 ==="
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ls -lh test_omatcopy_ct_*
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echo ""
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echo "文件架构信息:"
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file test_omatcopy_ct_scalar test_omatcopy_ct_rvv
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echo ""
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echo "=== 使用说明 ==="
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echo "1. 将以下文件传输到RISC-V服务器:"
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echo " - test_omatcopy_ct_scalar (标量版本)"
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echo " - test_omatcopy_ct_rvv (RVV版本)"
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echo ""
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echo "2. 在RISC-V服务器上运行测试:"
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echo " ./test_omatcopy_ct_scalar # 测试标量版本"
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echo " ./test_omatcopy_ct_rvv # 测试RVV版本"
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echo ""
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echo "3. 传输命令示例:"
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echo " scp test_omatcopy_ct_* user@riscv-server:/path/to/test/"
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echo ""
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echo "编译完成!"

kernel/riscv64/omatcopy_ct_rvv.c

Lines changed: 145 additions & 34 deletions
Original file line numberDiff line numberDiff line change
@@ -53,65 +53,176 @@ USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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/*****************************************************
5454
* Order ColMajor
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* Trans with RVV optimization
56-
*
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* Optimized version with:
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* - Block processing for cache efficiency
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* - Loop unrolling for better ILP
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* - Reduced VSETVL overhead
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* - Software prefetching
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******************************************************/
5862

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// Block size for cache-friendly processing
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#define BLOCK_SIZE_ROWS 256
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#define BLOCK_SIZE_COLS 64
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// Fast path for small matrices
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static inline int small_matrix_transpose(BLASLONG rows, BLASLONG cols, FLOAT alpha, FLOAT *a, BLASLONG lda, FLOAT *b, BLASLONG ldb)
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{
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if (rows <= 8 && cols <= 8) {
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// Optimized 8x8 or smaller transpose
72+
for (BLASLONG i = 0; i < cols; i++) {
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for (BLASLONG j = 0; j < rows; j++) {
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b[j * ldb + i] = alpha * a[i * lda + j];
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}
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}
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return 1;
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}
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return 0;
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}
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5982
int CNAME(BLASLONG rows, BLASLONG cols, FLOAT alpha, FLOAT *a, BLASLONG lda, FLOAT *b, BLASLONG ldb)
6083
{
61-
BLASLONG i, j;
84+
BLASLONG i, j, ii, jj;
6285
FLOAT *aptr, *bptr;
63-
size_t vl;
64-
FLOAT_V_T va, vb;
86+
size_t vl, vl_max;
87+
FLOAT_V_T va, vb, va2, va3, va4;
6588

6689
if (rows <= 0) return(0);
6790
if (cols <= 0) return(0);
6891

69-
aptr = a;
92+
// Try small matrix fast path
93+
if (small_matrix_transpose(rows, cols, alpha, a, lda, b, ldb)) {
94+
return(0);
95+
}
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97+
// Get maximum vector length once
98+
vl_max = VSETVL_MAX;
7099

71100
if (alpha == 0.0)
72101
{
73-
vl = VSETVL_MAX;
74-
va = VFMVVF_FLOAT(0, vl);
75-
for (i = 0; i < cols; i++)
76-
{
77-
bptr = &b[i];
78-
for (j = 0; j < rows; j += vl)
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{
80-
vl = VSETVL(rows - j);
81-
VSSEV_FLOAT(bptr + j * ldb, sizeof(FLOAT) * ldb, va, vl);
102+
va = VFMVVF_FLOAT(0, vl_max);
103+
// Block processing for better cache locality
104+
for (ii = 0; ii < cols; ii += BLOCK_SIZE_COLS) {
105+
BLASLONG col_end = (ii + BLOCK_SIZE_COLS < cols) ? ii + BLOCK_SIZE_COLS : cols;
106+
for (jj = 0; jj < rows; jj += BLOCK_SIZE_ROWS) {
107+
BLASLONG row_end = (jj + BLOCK_SIZE_ROWS < rows) ? jj + BLOCK_SIZE_ROWS : rows;
108+
109+
for (i = ii; i < col_end; i++) {
110+
bptr = &b[i + jj * ldb];
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BLASLONG remaining = row_end - jj;
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// Main loop with reduced VSETVL calls
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for (j = 0; j < remaining; j += vl_max) {
115+
vl = (j + vl_max <= remaining) ? vl_max : VSETVL(remaining - j);
116+
VSSEV_FLOAT(bptr + j * ldb, sizeof(FLOAT) * ldb, va, vl);
117+
}
118+
}
82119
}
83120
}
84121
return(0);
85122
}
86123

87124
if (alpha == 1.0)
88125
{
89-
for (i = 0; i < cols; i++)
90-
{
91-
bptr = &b[i];
92-
for (j = 0; j < rows; j += vl)
93-
{
94-
vl = VSETVL(rows - j);
95-
va = VLEV_FLOAT(aptr + j, vl);
96-
VSSEV_FLOAT(bptr + j * ldb, sizeof(FLOAT) * ldb, va, vl);
126+
// Block processing with loop unrolling
127+
for (ii = 0; ii < cols; ii += BLOCK_SIZE_COLS) {
128+
BLASLONG col_end = (ii + BLOCK_SIZE_COLS < cols) ? ii + BLOCK_SIZE_COLS : cols;
129+
for (jj = 0; jj < rows; jj += BLOCK_SIZE_ROWS) {
130+
BLASLONG row_end = (jj + BLOCK_SIZE_ROWS < rows) ? jj + BLOCK_SIZE_ROWS : rows;
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132+
// Process 4 columns at once when possible
133+
for (i = ii; i < col_end - 3; i += 4) {
134+
aptr = &a[i * lda + jj];
135+
FLOAT *bptr1 = &b[i + jj * ldb];
136+
FLOAT *bptr2 = &b[i + 1 + jj * ldb];
137+
FLOAT *bptr3 = &b[i + 2 + jj * ldb];
138+
FLOAT *bptr4 = &b[i + 3 + jj * ldb];
139+
140+
BLASLONG remaining = row_end - jj;
141+
142+
// Prefetch next block
143+
if (i + 4 < col_end) {
144+
__builtin_prefetch(&a[(i + 4) * lda + jj], 0, 3);
145+
}
146+
147+
for (j = 0; j < remaining; j += vl_max) {
148+
vl = (j + vl_max <= remaining) ? vl_max : VSETVL(remaining - j);
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150+
va = VLEV_FLOAT(aptr + j, vl);
151+
va2 = VLEV_FLOAT(aptr + lda + j, vl);
152+
va3 = VLEV_FLOAT(aptr + 2 * lda + j, vl);
153+
va4 = VLEV_FLOAT(aptr + 3 * lda + j, vl);
154+
155+
VSSEV_FLOAT(bptr1 + j * ldb, sizeof(FLOAT) * ldb, va, vl);
156+
VSSEV_FLOAT(bptr2 + j * ldb, sizeof(FLOAT) * ldb, va2, vl);
157+
VSSEV_FLOAT(bptr3 + j * ldb, sizeof(FLOAT) * ldb, va3, vl);
158+
VSSEV_FLOAT(bptr4 + j * ldb, sizeof(FLOAT) * ldb, va4, vl);
159+
}
160+
}
161+
162+
// Handle remaining columns
163+
for (; i < col_end; i++) {
164+
aptr = &a[i * lda + jj];
165+
bptr = &b[i + jj * ldb];
166+
BLASLONG remaining = row_end - jj;
167+
168+
for (j = 0; j < remaining; j += vl_max) {
169+
vl = (j + vl_max <= remaining) ? vl_max : VSETVL(remaining - j);
170+
va = VLEV_FLOAT(aptr + j, vl);
171+
VSSEV_FLOAT(bptr + j * ldb, sizeof(FLOAT) * ldb, va, vl);
172+
}
173+
}
97174
}
98-
aptr += lda;
99175
}
100176
return(0);
101177
}
102178

103-
// General case with alpha scaling
104-
for (i = 0; i < cols; i++)
105-
{
106-
bptr = &b[i];
107-
for (j = 0; j < rows; j += vl)
108-
{
109-
vl = VSETVL(rows - j);
110-
va = VLEV_FLOAT(aptr + j, vl);
111-
va = VFMULVF_FLOAT(va, alpha, vl);
112-
VSSEV_FLOAT(bptr + j * ldb, sizeof(FLOAT) * ldb, va, vl);
179+
// General case with alpha scaling and optimizations
180+
for (ii = 0; ii < cols; ii += BLOCK_SIZE_COLS) {
181+
BLASLONG col_end = (ii + BLOCK_SIZE_COLS < cols) ? ii + BLOCK_SIZE_COLS : cols;
182+
for (jj = 0; jj < rows; jj += BLOCK_SIZE_ROWS) {
183+
BLASLONG row_end = (jj + BLOCK_SIZE_ROWS < rows) ? jj + BLOCK_SIZE_ROWS : rows;
184+
185+
// Process 2 columns at once for better pipeline utilization
186+
for (i = ii; i < col_end - 1; i += 2) {
187+
aptr = &a[i * lda + jj];
188+
FLOAT *bptr1 = &b[i + jj * ldb];
189+
FLOAT *bptr2 = &b[i + 1 + jj * ldb];
190+
191+
BLASLONG remaining = row_end - jj;
192+
193+
// Prefetch next block
194+
if (i + 2 < col_end) {
195+
__builtin_prefetch(&a[(i + 2) * lda + jj], 0, 3);
196+
}
197+
198+
for (j = 0; j < remaining; j += vl_max) {
199+
vl = (j + vl_max <= remaining) ? vl_max : VSETVL(remaining - j);
200+
201+
va = VLEV_FLOAT(aptr + j, vl);
202+
va2 = VLEV_FLOAT(aptr + lda + j, vl);
203+
204+
va = VFMULVF_FLOAT(va, alpha, vl);
205+
va2 = VFMULVF_FLOAT(va2, alpha, vl);
206+
207+
VSSEV_FLOAT(bptr1 + j * ldb, sizeof(FLOAT) * ldb, va, vl);
208+
VSSEV_FLOAT(bptr2 + j * ldb, sizeof(FLOAT) * ldb, va2, vl);
209+
}
210+
}
211+
212+
// Handle remaining columns
213+
for (; i < col_end; i++) {
214+
aptr = &a[i * lda + jj];
215+
bptr = &b[i + jj * ldb];
216+
BLASLONG remaining = row_end - jj;
217+
218+
for (j = 0; j < remaining; j += vl_max) {
219+
vl = (j + vl_max <= remaining) ? vl_max : VSETVL(remaining - j);
220+
va = VLEV_FLOAT(aptr + j, vl);
221+
va = VFMULVF_FLOAT(va, alpha, vl);
222+
VSSEV_FLOAT(bptr + j * ldb, sizeof(FLOAT) * ldb, va, vl);
223+
}
224+
}
113225
}
114-
aptr += lda;
115226
}
116227

117228
return(0);

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