7be78d0279
The tool comes from https://github.com/jsoref Signed-off-by: Josh Soref <jsoref@gmail.com> Signed-off-by: Thomas Monjalon <thomas@monjalon.net>
165 lines
4.6 KiB
C
165 lines
4.6 KiB
C
/* SPDX-License-Identifier: BSD-3-Clause
|
|
* Copyright(c) 2020 Intel Corporation
|
|
*/
|
|
|
|
#include "acl_run_sse.h"
|
|
|
|
/*sizeof(uint32_t) << ACL_MATCH_LOG == sizeof(struct rte_acl_match_results)*/
|
|
#define ACL_MATCH_LOG 5
|
|
|
|
struct acl_flow_avx512 {
|
|
uint32_t num_packets; /* number of packets processed */
|
|
uint32_t total_packets; /* max number of packets to process */
|
|
uint32_t root_index; /* current root index */
|
|
uint32_t first_load_sz; /* first load size for new packet */
|
|
const uint64_t *trans; /* transition table */
|
|
const uint32_t *data_index; /* input data indexes */
|
|
const uint8_t **idata; /* input data */
|
|
uint32_t *matches; /* match indexes */
|
|
};
|
|
|
|
static inline void
|
|
acl_set_flow_avx512(struct acl_flow_avx512 *flow, const struct rte_acl_ctx *ctx,
|
|
uint32_t trie, const uint8_t *data[], uint32_t *matches,
|
|
uint32_t total_packets)
|
|
{
|
|
flow->num_packets = 0;
|
|
flow->total_packets = total_packets;
|
|
flow->first_load_sz = ctx->first_load_sz;
|
|
flow->root_index = ctx->trie[trie].root_index;
|
|
flow->trans = ctx->trans_table;
|
|
flow->data_index = ctx->trie[trie].data_index;
|
|
flow->idata = data;
|
|
flow->matches = matches;
|
|
}
|
|
|
|
/*
|
|
* Update flow and result masks based on the number of unprocessed flows.
|
|
*/
|
|
static inline uint32_t
|
|
update_flow_mask(const struct acl_flow_avx512 *flow, uint32_t *fmsk,
|
|
uint32_t *rmsk)
|
|
{
|
|
uint32_t i, j, k, m, n;
|
|
|
|
fmsk[0] ^= rmsk[0];
|
|
m = rmsk[0];
|
|
|
|
k = __builtin_popcount(m);
|
|
n = flow->total_packets - flow->num_packets;
|
|
|
|
if (n < k) {
|
|
/* reduce mask */
|
|
for (i = k - n; i != 0; i--) {
|
|
j = sizeof(m) * CHAR_BIT - 1 - __builtin_clz(m);
|
|
m ^= 1 << j;
|
|
}
|
|
} else
|
|
n = k;
|
|
|
|
rmsk[0] = m;
|
|
fmsk[0] |= rmsk[0];
|
|
|
|
return n;
|
|
}
|
|
|
|
/*
|
|
* Resolve matches for multiple categories (LE 8, use 128b instructions/regs)
|
|
*/
|
|
static inline void
|
|
resolve_mcle8_avx512x1(uint32_t result[],
|
|
const struct rte_acl_match_results pr[], const uint32_t match[],
|
|
uint32_t nb_pkt, uint32_t nb_cat, uint32_t nb_trie)
|
|
{
|
|
const int32_t *pri;
|
|
const uint32_t *pm, *res;
|
|
uint32_t i, j, k, mi, mn;
|
|
__mmask8 msk;
|
|
xmm_t cp, cr, np, nr;
|
|
|
|
res = pr->results;
|
|
pri = pr->priority;
|
|
|
|
for (k = 0; k != nb_pkt; k++, result += nb_cat) {
|
|
|
|
mi = match[k] << ACL_MATCH_LOG;
|
|
|
|
for (j = 0; j != nb_cat; j += RTE_ACL_RESULTS_MULTIPLIER) {
|
|
|
|
cr = _mm_loadu_si128((const xmm_t *)(res + mi + j));
|
|
cp = _mm_loadu_si128((const xmm_t *)(pri + mi + j));
|
|
|
|
for (i = 1, pm = match + nb_pkt; i != nb_trie;
|
|
i++, pm += nb_pkt) {
|
|
|
|
mn = j + (pm[k] << ACL_MATCH_LOG);
|
|
|
|
nr = _mm_loadu_si128((const xmm_t *)(res + mn));
|
|
np = _mm_loadu_si128((const xmm_t *)(pri + mn));
|
|
|
|
msk = _mm_cmpgt_epi32_mask(cp, np);
|
|
cr = _mm_mask_mov_epi32(nr, msk, cr);
|
|
cp = _mm_mask_mov_epi32(np, msk, cp);
|
|
}
|
|
|
|
_mm_storeu_si128((xmm_t *)(result + j), cr);
|
|
}
|
|
}
|
|
}
|
|
|
|
#include "acl_run_avx512x8.h"
|
|
|
|
int
|
|
rte_acl_classify_avx512x16(const struct rte_acl_ctx *ctx, const uint8_t **data,
|
|
uint32_t *results, uint32_t num, uint32_t categories)
|
|
{
|
|
const uint32_t max_iter = MAX_SEARCHES_AVX16 * MAX_SEARCHES_AVX16;
|
|
|
|
/* split huge lookup (gt 256) into series of fixed size ones */
|
|
while (num > max_iter) {
|
|
search_avx512x8x2(ctx, data, results, max_iter, categories);
|
|
data += max_iter;
|
|
results += max_iter * categories;
|
|
num -= max_iter;
|
|
}
|
|
|
|
/* select classify method based on number of remaining requests */
|
|
if (num >= MAX_SEARCHES_AVX16)
|
|
return search_avx512x8x2(ctx, data, results, num, categories);
|
|
if (num >= MAX_SEARCHES_SSE8)
|
|
return search_sse_8(ctx, data, results, num, categories);
|
|
if (num >= MAX_SEARCHES_SSE4)
|
|
return search_sse_4(ctx, data, results, num, categories);
|
|
|
|
return rte_acl_classify_scalar(ctx, data, results, num, categories);
|
|
}
|
|
|
|
#include "acl_run_avx512x16.h"
|
|
|
|
int
|
|
rte_acl_classify_avx512x32(const struct rte_acl_ctx *ctx, const uint8_t **data,
|
|
uint32_t *results, uint32_t num, uint32_t categories)
|
|
{
|
|
const uint32_t max_iter = MAX_SEARCHES_AVX16 * MAX_SEARCHES_AVX16;
|
|
|
|
/* split huge lookup (gt 256) into series of fixed size ones */
|
|
while (num > max_iter) {
|
|
search_avx512x16x2(ctx, data, results, max_iter, categories);
|
|
data += max_iter;
|
|
results += max_iter * categories;
|
|
num -= max_iter;
|
|
}
|
|
|
|
/* select classify method based on number of remaining requests */
|
|
if (num >= 2 * MAX_SEARCHES_AVX16)
|
|
return search_avx512x16x2(ctx, data, results, num, categories);
|
|
if (num >= MAX_SEARCHES_AVX16)
|
|
return search_avx512x8x2(ctx, data, results, num, categories);
|
|
if (num >= MAX_SEARCHES_SSE8)
|
|
return search_sse_8(ctx, data, results, num, categories);
|
|
if (num >= MAX_SEARCHES_SSE4)
|
|
return search_sse_4(ctx, data, results, num, categories);
|
|
|
|
return rte_acl_classify_scalar(ctx, data, results, num, categories);
|
|
}
|