如何将两个双 (m128d) 转换/合并为一个 (m128)?

如何解决如何将两个双 (m128d) 转换/合并为一个 (m128)?

我正在尝试转换此标量代码:

struct CICDecimator {
    static constexpr int64_t scale = ((int64_t)1) << 32;
    int mStages;
    int mFactor;
    float mGainCorrection;
    int64_t *pIntegrators;
    int64_t *pCombs;

    CICDecimator(int stages = 4,int factor = 8) {
        assert(stages > 0);
        assert(factor > 0);

        mStages = stages;
        pIntegrators = new int64_t[mStages + 1]{};
        pCombs = new int64_t[mStages]{};

        if (mFactor != factor) {
            mFactor = factor;
            mGainCorrection = 1.0f / (float)(pow(mFactor,mStages));
        }
    }
    ~CICDecimator() {
        delete[] pIntegrators;
        delete[] pCombs;
    }

    float process(const float *buffer) {
        for (int i = 0; i < mFactor; i++) {
            pIntegrators[0] = buffer[i] * scale;

            for (int j = 1; j <= mStages; j++) {
                pIntegrators[j] += pIntegrators[j - 1];
            }
        }

        int64_t s = pIntegrators[mStages];
        for (int i = 0; i < mStages; i++) {
            int64_t t = s;
            s -= pCombs[i];
            pCombs[i] = t;
        }

        return mGainCorrection * (s / (float)scale);
    }
};

SSE/SIMD 版本(使用 -march=nocona 构建),尝试在 process() 函数(在音频应用程序中称为重载)上获得性能。

主要问题是缓冲区的输入将是 m128 (4 x float) 值。并且似乎 CICDecimator 需要 64 位整数才能使精度正常工作(因此,只有两个插槽)。

这是我的实际代码:

struct CICDecimatorV4 {
    const __m128 scale4 = _mm_set1_ps((float)(((int64_t)1) << 32));
    int mStages;
    int mFactor;
    __m128 mGainCorrection4;
    __m128d *pIntegrators4_1;
    __m128d *pIntegrators4_2;
    __m128d *pCombs4_1;
    __m128d *pCombs4_2;

    CICDecimatorV4(int stages = 4,int factor = 8) {
        assert(stages > 0);
        assert(factor > 0);

        mStages = stages;
        pIntegrators4_1 = new __m128d[mStages + 1]{};
        pIntegrators4_2 = new __m128d[mStages + 1]{};
        pCombs4_1 = new __m128d[mStages]{};
        pCombs4_2 = new __m128d[mStages]{};

        if (mFactor != factor) {
            mFactor = factor;
            mGainCorrection4 = _mm_div_ps(_mm_set1_ps(1.0f),_mm_set1_ps((float)pow(mFactor,mStages)));
        }
    }
    ~CICDecimatorV4() {
        delete[] pIntegrators4_1;
        delete[] pIntegrators4_2;
        delete[] pCombs4_1;
        delete[] pCombs4_2;
    }

    __m128 process(const __m128 *buffer) {
        for (int i = 0; i < mFactor; i++) {
            // float to double
            __m128i bufferInt = _mm_cvttps_epi32(_mm_mul_ps(buffer[i],scale4));
            pIntegrators4_1[0] = _mm_cvtepi32_pd(bufferInt);
            pIntegrators4_2[0] = _mm_cvtepi32_pd(_mm_srli_si128(bufferInt,8));

            for (int j = 1; j <= mStages; j++) {
                pIntegrators4_1[j] += pIntegrators4_1[j - 1];
                pIntegrators4_2[j] += pIntegrators4_2[j - 1];
            }
        }

        __m128d sD1 = pIntegrators4_1[mStages];
        __m128d sD2 = pIntegrators4_2[mStages];
        for (int i = 0; i < mStages; i++) {
            __m128d t1 = sD1;
            __m128d t2 = sD2;

            sD1 -= pCombs4_1[i];
            sD2 -= pCombs4_2[i];

            pCombs4_1[i] = t1;
            pCombs4_2[i] = t2;
        }

        // double to float
        __m128 sF1 = _mm_cvtpd_ps(sD1);
        __m128 sF2 = _mm_cvtpd_ps(sD2);
        __m128 sF; // <<<< TODO: i need to merge the two float on a single one

        return _mm_mul_ps(mGainCorrection4,_mm_div_ps(sF,scale4));
    }
};

我将 int64_t 转换为 m128d(两个插槽),将输入 m128 拆分为两个 m128d 并复制每个计算以进行保持向量和双精度计算。

问题:

  1. 这个方法正确吗?
  2. 如何将两个 m128d 转换为单个 m128? (首先在下部,其次在上部)(即 <<<< TODO part
  3. 可以整体改进吗? (:P)

谢谢

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams[&#39;font.sans-serif&#39;] = [&#39;SimHei&#39;] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -&gt; systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping(&quot;/hires&quot;) public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate&lt;String
使用vite构建项目报错 C:\Users\ychen\work&gt;npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
错误1 # 重写数据 hive (edu)&gt; insert overwrite table dwd_trade_cart_add_inc &gt; select data.id, &gt; data.user_id, &gt; data.course_id, &gt; date_format(
错误1 hive (edu)&gt; insert into huanhuan values(1,&#39;haoge&#39;); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
报错1:执行到如下就不执行了,没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
虚拟及没有启动任何服务器查看jps会显示jps,如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
报错1 hive&gt; show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 &lt;configuration&gt; &lt;property&gt; &lt;name&gt;yarn.nodemanager.res