sw_perf/ksw_ext_avx2_u8.c

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#include <stdlib.h>
#include <stdint.h>
#include <assert.h>
#include <emmintrin.h>
#include <stdio.h>
#include <immintrin.h>
#include <emmintrin.h>
#include "thread_mem.h"
#include "common.h"
#ifdef __GNUC__
#define LIKELY(x) __builtin_expect((x), 1)
#define UNLIKELY(x) __builtin_expect((x), 0)
#else
#define LIKELY(x) (x)
#define UNLIKELY(x) (x)
#endif
#undef MAX
#undef MIN
#define MAX(x, y) ((x) > (y) ? (x) : (y))
#define MIN(x, y) ((x) < (y) ? (x) : (y))
#define SIMD_WIDTH 32
static const uint8_t h_vec_int_mask[SIMD_WIDTH][SIMD_WIDTH] = {
{0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0},
{0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff}};
// static const uint8_t reverse_mask[SIMD_WIDTH] = {1, 0, 3, 2, 5, 4, 7, 6, 9, 8, 11, 10, 13, 12, 15, 14, 1, 0, 3, 2, 5, 4, 7, 6, 9, 8, 11, 10, 13, 12, 15, 14};
static const uint8_t reverse_mask[SIMD_WIDTH] = {7, 6, 5, 4, 3, 2, 1, 0, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 15, 14, 13, 12, 11, 10, 9, 8};
// const int permute_mask = _MM_SHUFFLE(0, 1, 2, 3);
#define permute_mask _MM_SHUFFLE(0, 1, 2, 3)
// 初始化变量
#define SIMD_INIT \
int oe_del = o_del + e_del, oe_ins = o_ins + e_ins; \
__m256i zero_vec; \
__m256i max_vec; \
__m256i oe_del_vec; \
__m256i oe_ins_vec; \
__m256i e_del_vec; \
__m256i e_ins_vec; \
__m256i h_vec_mask[SIMD_WIDTH]; \
__m256i reverse_mask_vec; \
zero_vec = _mm256_setzero_si256(); \
oe_del_vec = _mm256_set1_epi8(oe_del); \
oe_ins_vec = _mm256_set1_epi8(oe_ins); \
e_del_vec = _mm256_set1_epi8(e_del); \
e_ins_vec = _mm256_set1_epi8(e_ins); \
__m256i match_sc_vec = _mm256_set1_epi8(base_match_score); \
__m256i mis_sc_vec = _mm256_set1_epi8(base_mis_score); \
__m256i amb_sc_vec = _mm256_set1_epi8(1); \
__m256i amb_vec = _mm256_set1_epi8(4); \
reverse_mask_vec = _mm256_loadu_si256((__m256i *)(reverse_mask)); \
for (i = 0; i < SIMD_WIDTH; ++i) \
h_vec_mask[i] = _mm256_loadu_si256((__m256i *)(&h_vec_int_mask[i]));
/*
* e 表示当前ref的碱基被删除
* f 表示当前seq的碱基插入
* m 表示当前碱基匹配(可以相等,也可以不想等)
* h 表示最大值
*/
// load向量化数据
#define SIMD_LOAD \
__m256i m1 = _mm256_loadu_si256((__m256i *)(&mA1[j])); \
__m256i e1 = _mm256_loadu_si256((__m256i *)(&eA1[j])); \
__m256i m1j1 = _mm256_loadu_si256((__m256i *)(&mA1[j - 1])); \
__m256i f1j1 = _mm256_loadu_si256((__m256i *)(&fA1[j - 1])); \
__m256i h0j1 = _mm256_loadu_si256((__m256i *)(&hA0[j - 1])); \
__m256i qs_vec = _mm256_loadu_si256((__m256i *)(&seq[j - 1])); \
__m256i ts_vec = _mm256_loadu_si256((__m256i *)(&ref[i]));
// 比对ref和seq的序列计算罚分
#define SIMD_CMP_SEQ \
ts_vec = _mm256_permute4x64_epi64(ts_vec, permute_mask); \
ts_vec = _mm256_shuffle_epi8(ts_vec, reverse_mask_vec); \
__m256i match_mask_vec = _mm256_cmpeq_epi8(qs_vec, ts_vec); \
__m256i mis_score_vec = _mm256_andnot_si256(match_mask_vec, mis_sc_vec); \
__m256i match_score_vec = _mm256_and_si256(match_sc_vec, match_mask_vec); \
__m256i q_amb_mask_vec = _mm256_cmpeq_epi8(qs_vec, amb_vec); \
__m256i t_amb_mask_vec = _mm256_cmpeq_epi8(ts_vec, amb_vec); \
__m256i amb_mask_vec = _mm256_or_si256(q_amb_mask_vec, t_amb_mask_vec); \
__m256i amb_score_vec = _mm256_and_si256(amb_mask_vec, amb_sc_vec); \
mis_score_vec = _mm256_andnot_si256(amb_mask_vec, mis_score_vec); \
mis_score_vec = _mm256_or_si256(amb_score_vec, mis_score_vec); \
match_score_vec = _mm256_andnot_si256(amb_mask_vec, match_score_vec);
// 向量化计算h, e, f, m
#define SIMD_COMPUTE \
__m256i en_vec0 = _mm256_max_epu8(m1, oe_del_vec); \
en_vec0 = _mm256_subs_epu8(en_vec0, oe_del_vec); \
__m256i en_vec1 = _mm256_max_epu8(e1, e_del_vec); \
en_vec1 = _mm256_subs_epu8(en_vec1, e_del_vec); \
__m256i en_vec = _mm256_max_epu8(en_vec0, en_vec1); \
__m256i fn_vec0 = _mm256_max_epu8(m1j1, oe_ins_vec); \
fn_vec0 = _mm256_subs_epu8(fn_vec0, oe_ins_vec); \
__m256i fn_vec1 = _mm256_max_epu8(f1j1, e_ins_vec); \
fn_vec1 = _mm256_subs_epu8(fn_vec1, e_ins_vec); \
__m256i fn_vec = _mm256_max_epu8(fn_vec0, fn_vec1); \
__m256i mn_vec0 = _mm256_adds_epu8(h0j1, match_score_vec); \
mn_vec0 = _mm256_max_epu8(mn_vec0, mis_score_vec); \
mn_vec0 = _mm256_subs_epu8(mn_vec0, mis_score_vec); \
__m256i mn_mask = _mm256_cmpeq_epi8(h0j1, zero_vec); \
__m256i mn_vec = _mm256_andnot_si256(mn_mask, mn_vec0); \
__m256i hn_vec0 = _mm256_max_epu8(en_vec, fn_vec); \
__m256i hn_vec = _mm256_max_epu8(hn_vec0, mn_vec);
// 存储向量化结果
#define SIMD_STORE \
max_vec = _mm256_max_epu8(max_vec, hn_vec); \
_mm256_storeu_si256((__m256i *)&eA2[j], en_vec); \
_mm256_storeu_si256((__m256i *)&fA2[j], fn_vec); \
_mm256_storeu_si256((__m256i *)&mA2[j], mn_vec); \
_mm256_storeu_si256((__m256i *)&hA2[j], hn_vec);
// 去除多余的部分
#define SIMD_REMOVE_EXTRA \
en_vec = _mm256_and_si256(en_vec, h_vec_mask[end - j]); \
fn_vec = _mm256_and_si256(fn_vec, h_vec_mask[end - j]); \
mn_vec = _mm256_and_si256(mn_vec, h_vec_mask[end - j]); \
hn_vec = _mm256_and_si256(hn_vec, h_vec_mask[end - j]);
// 找最大值和位置
#define SIMD_FIND_MAX \
uint8_t *maxVal = (uint8_t *)&max_vec; \
max_vec = _mm256_max_epu8(max_vec, _mm256_alignr_epi8(max_vec, max_vec, 1)); \
max_vec = _mm256_max_epu8(max_vec, _mm256_alignr_epi8(max_vec, max_vec, 2)); \
max_vec = _mm256_max_epu8(max_vec, _mm256_alignr_epi8(max_vec, max_vec, 3)); \
max_vec = _mm256_max_epu8(max_vec, _mm256_alignr_epi8(max_vec, max_vec, 4)); \
max_vec = _mm256_max_epu8(max_vec, _mm256_alignr_epi8(max_vec, max_vec, 5)); \
max_vec = _mm256_max_epu8(max_vec, _mm256_alignr_epi8(max_vec, max_vec, 6)); \
max_vec = _mm256_max_epu8(max_vec, _mm256_alignr_epi8(max_vec, max_vec, 7)); \
max_vec = _mm256_max_epu8(max_vec, _mm256_alignr_epi8(max_vec, max_vec, 8)); \
max_vec = _mm256_max_epu8(max_vec, _mm256_permute2x128_si256(max_vec, max_vec, 0x01)); \
m = maxVal[0]; \
if (m > 0) \
{ \
for (j = beg, i = iend; j <= end; j += SIMD_WIDTH, i -= SIMD_WIDTH) \
{ \
__m256i h2_vec = _mm256_loadu_si256((__m256i *)(&hA2[j])); \
__m256i vcmp = _mm256_cmpeq_epi8(h2_vec, max_vec); \
uint32_t mask = _mm256_movemask_epi8(vcmp); \
if (mask > 0) \
{ \
int pos = SIMD_WIDTH - 1 - __builtin_clz(mask); \
mj = j - 1 + pos; \
mi = i - 1 - pos; \
} \
} \
}
// 每轮迭代后,交换数组
#define SWAP_DATA_POINTER \
uint8_t *tmp = hA0; \
hA0 = hA1; \
hA1 = hA2; \
hA2 = tmp; \
tmp = eA1; \
eA1 = eA2; \
eA2 = tmp; \
tmp = fA1; \
fA1 = fA2; \
fA2 = tmp; \
tmp = mA1; \
mA1 = mA2; \
mA2 = tmp;
int ksw_extend_avx2_u8(thread_mem_t *tmem,
int qlen, // query length 待匹配段碱基的query长度
const uint8_t *query, // read碱基序列
int tlen, // target length reference的长度
const uint8_t *target, // reference序列
int extend_left, // 是不是向左扩展
int o_del, // deletion 错配开始的惩罚系数
int e_del, // deletion extension的惩罚系数
int o_ins, // insertion 错配开始的惩罚系数
int e_ins, // insertion extension的惩罚系数SIMD_BTYES
int base_match_score, // 碱基match时的分数
int base_mis_score, // 碱基mismatch时的惩罚分数正数
int window_size, // 提前剪枝系数w =100 匹配位置和beg的最大距离
int end_bonus, // 如果query比对到了最后一个字符额外奖励分值
int init_score, // 该seed的初始得分完全匹配query的碱基数
int *_qle, // 匹配得到全局最大得分的碱基在query的位置
int *_tle, // 匹配得到全局最大得分的碱基在reference的位置
int *_gtle, // query全部匹配上的target的长度
int *_gscore, // query的端到端匹配得分
int *_max_off) // 取得最大得分时在query和reference上位置差的 最大值
{
uint8_t *mA, *hA, *eA, *fA, *mA1, *mA2, *hA0, *hA1, *eA1, *fA1, *hA2, *eA2, *fA2; // hA0保存上上个col的H其他的保存上个H E F M
uint8_t *seq, *ref;
uint8_t *mem, *qtmem, *vmem;
int seq_size = qlen + SIMD_WIDTH, ref_size = tlen + SIMD_WIDTH;
int i, ibeg, iend, D, j, beg, end, max, max_i, max_j, max_ins, max_del, max_ie, gscore, max_off;
int Dloop = tlen + qlen; // 循环跳出条件
int span, beg1, end1; // 边界条件计算
int col_size = qlen + 2 + SIMD_WIDTH;
int val_mem_size = (col_size * 9 + 31) >> 5 << 5; // 32字节的整数倍
int mem_size = seq_size + ref_size + val_mem_size;
SIMD_INIT; // 初始化simd用的数据
assert(init_score > 0);
// allocate memory
// mem = malloc(mem_size);
mem = thread_mem_request(tmem, mem_size);
qtmem = &mem[0];
seq = (uint8_t *)&qtmem[0];
ref = (uint8_t *)&qtmem[seq_size];
if (extend_left)
{
for (i = 0; i < qlen; ++i)
seq[i] = query[qlen - 1 - i];
for (i = 0; i < tlen; ++i)
ref[i + SIMD_WIDTH - 1] = target[tlen - 1 - i];
}
else
{
for (i = 0; i < qlen; ++i)
seq[i] = query[i];
for (i = 0; i < tlen; ++i)
ref[i + SIMD_WIDTH - 1] = target[i];
}
vmem = &ref[ref_size];
for (i = 0; i < val_mem_size; i += SIMD_WIDTH)
{
_mm256_storeu_si256((__m256i *)&vmem[i], zero_vec);
}
hA = &vmem[0];
mA = &vmem[col_size * 3];
eA = &vmem[col_size * 5];
fA = &vmem[col_size * 7];
hA0 = &hA[0];
hA1 = &hA[col_size];
hA2 = &hA1[col_size];
mA1 = &mA[0];
mA2 = &mA[col_size];
eA1 = &eA[0];
eA2 = &eA[col_size];
fA1 = &fA[0];
fA2 = &fA[col_size];
// adjust $window_size if it is too large
// get the max score
max = base_match_score;
max_ins = (int)((double)(qlen * max + end_bonus - o_ins) / e_ins + 1.);
max_ins = max_ins > 1 ? max_ins : 1;
window_size = window_size < max_ins ? window_size : max_ins;
max_del = (int)((double)(qlen * max + end_bonus - o_del) / e_del + 1.);
max_del = max_del > 1 ? max_del : 1;
window_size = window_size < max_del ? window_size : max_del; // TODO: is this necessary?
if (tlen < qlen)
window_size = MIN(tlen - 1, window_size);
// DP loop
max = init_score, max_i = max_j = -1;
max_ie = -1, gscore = -1;
max_off = 0;
beg = 1;
end = qlen;
// init init_score
hA0[0] = init_score; // 左上角
fA1[1] = MAX(0, init_score - (o_ins + e_ins));
eA2[0] = init_score;
hA1[1] = fA1[1];
if (qlen == 0 || tlen == 0)
Dloop = 0; // 防止意外情况
if (window_size >= qlen)
{
max_ie = 0;
gscore = 0;
}
for (D = 1; LIKELY(D < Dloop); ++D)
{
// 边界条件一定要注意! tlen 大于,等于,小于 qlen时的情况
if (D < tlen)
beg1 = 1;
else
beg1 = D - tlen + 1;
if (D < qlen)
end1 = D; // 闭区间
else
end1 = qlen;
beg1 = MAX(D - window_size, beg1);
end1 = MIN(D + window_size, end1);
beg = MAX(beg1, beg);
end = MIN(end1, end);
if (beg > end)
break;
// beg = beg1;
// end = end1;
iend = D - beg; // ref开始计算的位置倒序
span = end - beg;
ibeg = iend - span; // 0开始的ref索引位置
// 每一轮需要记录的数据
int m = 0, mj = -1, mi = -1;
max_vec = zero_vec;
// 处理左边界
if (beg == 1)
{
hA0[0] = eA2[0];
mA1[0] = 0;
eA1[0] = MAX(0, init_score - (o_del + e_del * (iend + 1)));
}
for (j = beg, i = iend; j <= end + 1 - SIMD_WIDTH; j += SIMD_WIDTH, i -= SIMD_WIDTH)
{
// 取数据
SIMD_LOAD;
// 比对seq计算罚分
SIMD_CMP_SEQ;
// 计算
SIMD_COMPUTE;
// 存储结果
SIMD_STORE;
}
// 剩下的计算单元
if (j <= end)
{
// 取数据
SIMD_LOAD;
// 比对seq计算罚分
SIMD_CMP_SEQ;
// 计算
SIMD_COMPUTE;
// 去除多余计算的部分
SIMD_REMOVE_EXTRA;
// 存储结果
SIMD_STORE;
}
// 处理上边界
if (ibeg == 0)
{
fA2[end + 1] = MAX(0, init_score - (o_ins + e_ins * (end + 1)));
hA2[end + 1] = fA2[end + 1];
mA2[end + 1] = 0;
}
SIMD_FIND_MAX;
// 注意最后跳出循环j的值
j = end + 1;
if (j == qlen + 1)
{
max_ie = gscore > hA2[qlen] ? max_ie : ibeg;
gscore = gscore > hA2[qlen] ? gscore : hA2[qlen];
}
if (m > max)
{
max = m, max_i = mi, max_j = mj;
max_off = max_off > abs(mj - mi) ? max_off : abs(mj - mi);
}
// 调整计算的边界
for (j = beg; LIKELY(j <= end); ++j)
{
int has_val = hA1[j - 1] | hA2[j];
if (has_val)
break;
}
beg = j;
for (j = end + 1; LIKELY(j >= beg); --j)
{
int has_val = hA1[j - 1] | hA2[j];
if (has_val)
break;
else
hA0[j - 1] = 0;
}
end = j + 1 <= qlen ? j + 1 : qlen;
// swap m, h, e, f
SWAP_DATA_POINTER;
}
// free(mem);
thread_mem_release(tmem, mem_size);
if (_qle)
*_qle = max_j + 1;
if (_tle)
*_tle = max_i + 1;
if (_gtle)
*_gtle = max_ie + 1;
if (_gscore)
*_gscore = gscore;
if (_max_off)
*_max_off = max_off;
return max;
}