{"id":34741,"date":"2025-04-30T17:11:04","date_gmt":"2025-04-30T09:11:04","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/34741.html"},"modified":"2025-04-30T17:11:04","modified_gmt":"2025-04-30T09:11:04","slug":"windows%e7%a8%8b%e5%ba%8f%e8%bd%ac%e9%b2%b2%e9%b9%8f%e6%9c%8d%e5%8a%a1%e5%99%a8%e8%b8%a9%e5%9d%91%e8%ae%b0%e3%80%90%e6%8c%81%e7%bb%ad%e6%9b%b4%e6%96%b0%e4%b8%ad%e3%80%91","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/34741.html","title":{"rendered":"windows\u7a0b\u5e8f\u8f6c\u9cb2\u9e4f\u670d\u52a1\u5668\u8e29\u5751\u8bb0\u3010\u6301\u7eed\u66f4\u65b0\u4e2d\u3011"},"content":{"rendered":"<h2><\/h2>\n<\/p>\n<h2>1.\u9cb2\u9e4f\u5904\u7406\u5668\u548cIntel\u5904\u7406\u5668\u7684\u533a\u522b<\/h2>\n<table align=\"left\" border=\"1\" cellpadding=\"1\" cellspacing=\"1\" style=\"width:500px\">\n<tbody>\n<tr>\n<td>\u5904\u7406\u5668\/\u5bf9\u6bd4\u9879<\/td>\n<td>Intel<\/td>\n<td>Kunpeng<\/td>\n<\/tr>\n<tr>\n<td>\u5382\u5bb6<\/td>\n<td>\u56e0\u7279\u5c14(\u7f8e\u56fd)<\/td>\n<td>\u534e\u4e3a(\u4e2d\u56fd)<\/td>\n<\/tr>\n<tr>\n<td>\u6307\u4ee4\u96c6<\/td>\n<td>X86\u67b6\u6784<\/td>\n<td>ARM-V8<\/td>\n<\/tr>\n<tr>\n<td>\u67b6\u6784\u4e0e\u6307\u4ee4\u96c6<\/td>\n<td>&#8211; x86 CISC\u590d\u6742\u6307\u4ee4\u96c6 &#8211; \u5355\u6838\u6027\u80fd\u5f3a&#xff08;\u5982\u81f3\u5f3a8380\u4e3b\u98913.8GHz&#xff09; &#8211; \u4e09\u7ea7\u7f13\u5b58\u4f18\u5316&#xff0c;\u652f\u6301DDR4-3200\u548cOptane\u5185\u5b58<\/td>\n<td>&#8211; ARMv8-A RISC\u7cbe\u7b80\u6307\u4ee4\u96c6 &#8211; 64\u6838\u8bbe\u8ba1&#xff08;\u8d85\u7ebf\u7a0b\u81f3128\u7ebf\u7a0b&#xff09; &#8211; \u591a\u7ea7\u7f13\u5b58\u4f18\u5316&#xff0c;\u652f\u6301PCIe 4.0\u548c\u9ad8\u901f\u5185\u5b58<\/td>\n<\/tr>\n<tr>\n<td>\u5355\u6838\u6027\u80fd<\/td>\n<td>&#8211; \u5355\u6838\u4e3b\u9891\u9ad8&#xff08;3.8GHz&#043;&#xff09;&#xff0c;\u5355\u7ebf\u7a0b\u6027\u80fd\u5f3a<\/td>\n<td>&#8211; \u4e3b\u98912.6GHz&#xff0c;NEON\u6307\u4ee4\u4f18\u5316<\/td>\n<\/tr>\n<tr>\n<td>\u591a\u6838\u6027\u80fd<\/td>\n<td>\u00a028~40\u6838\u4e3b\u6d41\u578b\u53f7&#xff0c;\u4f9d\u8d56\u8d85\u7ebf\u7a0b\u4f18\u5316\u591a\u4efb\u52a1<\/td>\n<td>64\u6838\u6574\u6570\u8fd0\u7b97\u6027\u80fd\u9886\u514833%&#xff08;\u5bf9\u6bd428\u6838Intel&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u80fd\u6548\u4e0e\u529f\u8017<\/td>\n<td>\u00a010\/14nm\u5de5\u827a&#xff0c;TDP\u8f83\u9ad8&#xff08;\u5982\u81f3\u5f3a8180\u8fbe205W&#xff09;&#xff0c;\u4f46\u652f\u6301\u52a8\u6001\u529f\u8017\u4f18\u5316<\/td>\n<td>7nm\u5de5\u827a&#xff0c;TDP\u4f4e&#xff0c;\u9002\u5408\u7eff\u8272\u6570\u636e\u4e2d\u5fc3<\/td>\n<\/tr>\n<tr>\n<td>\u517c\u5bb9\u6027<\/td>\n<td>&#8211; \u5168\u740390%\u670d\u52a1\u5668\u751f\u6001\u652f\u6301 &#8211; \u539f\u751f\u517c\u5bb9Windows\/Linux\u53ca\u4e13\u4e1a\u8f6f\u4ef6&#xff08;\u5982Oracle\u3001VMware&#xff09;<\/td>\n<td>&#8211; \u4f9d\u8d56ARM\u751f\u6001\u9002\u914d&#xff08;\u5982\u6b27\u62c9OS&#xff09; &#8211; \u9700\u4e8c\u8fdb\u5236\u7ffb\u8bd1\u8fd0\u884cx86\u5e94\u7528<\/td>\n<\/tr>\n<tr>\n<td>\u786c\u4ef6\u6269\u5c55<\/td>\n<td>\u00a0\u652f\u6301PCIe 5.0\u548cOptane\u6301\u4e45\u5185\u5b58<\/td>\n<td>\u96c6\u6210\u6607\u817eNPU\u548cRoCEv2\u7f51\u7edc\u52a0\u901f<\/td>\n<\/tr>\n<tr>\n<td>\u200b\u5178\u578b\u5e94\u7528\u573a\u666f<\/td>\n<td>&#8211; \u9ad8\u6027\u80fd\u8ba1\u7b97&#xff08;HPC&#xff09; &#8211; \u5b9e\u65f6\u6027\u5de5\u4e1a\u63a7\u5236 &#8211; CUDA\u52a0\u901f\u7684\u6df1\u5ea6\u5b66\u4e60<\/td>\n<td>&#8211; \u4e91\u8ba1\u7b97&#xff08;\u9ad8\u5e76\u53d1\u865a\u62df\u5316&#xff09; &#8211; AI\u63a8\u7406\/\u5927\u6570\u636e\u5904\u7406 &#8211; \u56fd\u4ea7\u5316\u6570\u636e\u4e2d\u5fc3<\/td>\n<\/tr>\n<tr>\n<td>\u5b89\u5168\u6027<\/td>\n<td>&#8211; \u4f9d\u8d56\u8f6f\u4ef6\u5c42\u5b89\u5168&#xff08;\u5982SGX&#xff09; &#8211; \u5168\u7403\u5316\u4f9b\u5e94\u94fe\u98ce\u9669<\/td>\n<td>&#8211; \u786c\u4ef6\u7ea7\u52a0\u5bc6\u5f15\u64ce&#xff08;HiSec 3.0&#xff09; &#8211; \u56fd\u4ea7\u5316\u4f9b\u5e94\u94fe\u53ef\u63a7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/p>\n<\/p>\n<\/p>\n<h2><\/h2>\n<h2><\/h2>\n<\/p>\n<h2><\/h2>\n<h2><\/h2>\n<h2><\/h2>\n<h2><\/h2>\n<h2><\/h2>\n<h2><\/h2>\n<h2><\/h2>\n<h2><\/h2>\n<h2><\/h2>\n<h2><\/h2>\n<h2><\/h2>\n<h2 style=\"background-color:transparent\">2.\u6b27\u62c9\u7cfb\u7edf\u7cfb\u7edf<\/h2>\n<p>Intel\u670d\u52a1\u5668\u53ef\u4ee5\u4f7f\u7528windows\u6216\u8005linux(centos\u3001ubuntu\u7b49\u90fd\u53ef\u652f\u6301)\u3002<\/p>\n<p>\u9996\u5148\u662f\u7cfb\u7edf\u5b89\u88c5&#xff0c;\u9cb2\u9e4f\u670d\u52a1\u5668\u4f7f\u7528\u7684\u662f\u534e\u4e3a\u9cb2\u9e4f\u5904\u7406\u5668&#xff0c;\u57fa\u4e8eARM\u67b6\u6784&#xff0c;\u4e5f\u53ef\u5b89\u88c5centos\u7b49&#xff0c;\u5efa\u8bae\u5b89\u88c5\u534e\u4e3a\u6b27\u62c9\u7cfb\u7edf\u3002<\/p>\n<li>\u8bbf\u95ee\u6b27\u62c9\u7cfb\u7edf\u7684\u5b98\u65b9\u7f51\u7ad9&#xff08;https:\/\/www.euler.com&#xff09;\u6216\u8005\u5b98\u65b9\u4e0b\u8f7d\u9875\u9762&#xff0c;\u4e0b\u8f7d\u6700\u65b0\u7248\u672c\u7684\u6b27\u62c9\u7cfb\u7edf\u5b89\u88c5\u6587\u4ef6\u3002<\/li>\n<li>\u7cfb\u7edf\u5b89\u88c5\u5b8c\u6210\u540e\u8fdb\u5165\u7cfb\u7edf\u3001\u8fde\u63a5\u5916\u7f51&#xff0c;\u901a\u8fc7\u547d\u4ee4\u884c\u5b89\u88c5\u56fe\u5f62\u5316\u754c\u9762<\/li>\n<p>sudo dnf groupinstall &#034;UKUI Desktop&#034;  # UKUI\u754c\u9762[5](&#064;ref)<br \/>\nsudo systemctl set-default graphical.target  # \u9ed8\u8ba4\u542f\u52a8\u56fe\u5f62\u6a21\u5f0f <\/p>\n<h2 style=\"background-color:transparent\">3.\u5b89\u88c5qt<\/h2>\n<p>qt\u6211\u4eec\u4f7f\u75285.9.8&#xff0c;\u5f53\u7136\u5176\u4ed6\u7248\u672c\u4e5f\u662fOK\u7684&#xff0c;\u56e0\u4e3a\u670d\u52a1\u5668\u627e\u4e0d\u5230\u5bf9\u5e94\u7684QT-ARM\u5b89\u88c5\u5305\u3002\u6240\u4ee5\u6211\u4eec\u4ece\u6e90\u7801\u7f16\u8bd1&#xff1a;\u53c2\u8003\u9cb2\u9e4f\u5b98\u65b9\u6587\u6863&#xff1a;<\/p>\n<li id=\"kunpengqt_02_0006__p408mcpsimp\">\u4f7f\u7528PuTTY\u5de5\u5177&#xff0c;\u4ee5root\u7528\u6237\u767b\u5f55\u670d\u52a1\u5668\u3002<\/li>\n<li id=\"kunpengqt_02_0006__li176319394110\">\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u5165Qt\u5b89\u88c5\u76ee\u5f55\u3002 cd \/path\/to\/QT <\/li>\n<li id=\"kunpengqt_02_0006__li19471813131112\">\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u89e3\u538bQt\u5b89\u88c5\u5305\u3002 tar -Jxvf qt-everywhere-src-5.13.0.tar.xz <\/li>\n<li id=\"kunpengqt_02_0006__li416mcpsimp\">\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u5165\u89e3\u538b\u540e\u7684\u76ee\u5f55\u3002 cd qt-everywhere-src-5.13.0 <\/li>\n<li id=\"kunpengqt_02_0006__li56117209111\">\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u7f16\u8bd1\u914d\u7f6e\u3002 .\/configure -qt-xcb<img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"514\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091054-6811e91eb7f60.png\" width=\"725\" \/> <\/li>\n<li id=\"kunpengqt_02_0006__li8113621181518\">\u9009\u62e9\u5b89\u88c5\u7c7b\u578b\u3002\n<li id=\"kunpengqt_02_0006__li109181537101517\">\u8f93\u5165o&#xff0c;\u8868\u793a\u5f00\u6e90\u7248\u3002<\/li>\n<li id=\"kunpengqt_02_0006__li159181379155\">\u8f93\u5165yes&#xff0c;\u63a5\u53d7GPL\u534f\u8bae\u3002<\/li>\n<p id=\"kunpengqt_02_0006__p158755326136\">\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"356\" id=\"kunpengqt_02_0006__image95051312138\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091055-6811e91f028a9.png\" width=\"587\" \/><\/p>\n<\/li>\n<li id=\"kunpengqt_02_0006__li9867174911415\">\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u7f16\u8bd1\u5b89\u88c5\u3002 gmake \u2013j64<br \/>\ngmake install <\/li>\n<li id=\"kunpengqt_02_0006__li431mcpsimp\">\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\u3002 export QTDIR&#061;\/usr\/local\/Qt-5.13.0<br \/>\nexport PATH&#061;$QTDIR\/bin:$PATH<br \/>\nexport MANPATH&#061;$QTDIR\/man:$MANPATH<br \/>\nexport LD_LIBRARY_PATH&#061;$QTDIR\/lib:$LD_LIBRARY_PATH <\/li>\n<p>\u7f16\u8bd1\u548c\u5b89\u88c5-Qt 5.13.0 \u79fb\u690d\u6307\u5357&#xff08;openEuler 20.03&#xff09;-\u751f\u547d\u79d1\u5b66-\u5f00\u6e90\u5e94\u7528\u8f6f\u4ef6\u79fb\u690d\u6307\u5357-HPC\u884c\u4e1a\u5e94\u7528-\u9cb2\u9e4fHPC\u5f00\u53d1\u6587\u6863-\u9cb2\u9e4f\u793e\u533a<\/p>\n<p>\u5b89\u88c5QT\u4f1a\u6709\u5404\u79cd\u7f16\u8bd1\u95ee\u9898&#xff0c;\u9700\u8981\u6328\u4e2a\u53bb\u7f51\u7edc\u4e0a\u67e5\u627e\u95ee\u9898\u4fee\u6539\u4ee3\u7801\u548c\u5b8f\u5b9a\u4e49\u89e3\u51b3<\/p>\n<\/p>\n<h2>4\u5b89\u88c5svn\u6216git\u7b49\u76f8\u5173\u5de5\u5177<\/h2>\n<p>yum install svn -y <\/p>\n<h2>5\u5b89\u88c5devkit\u5de5\u5177\u67e5\u770b\u8fc1\u79fb\u65b9\u6848<\/h2>\n<p>\u4ece\u9cb2\u9e4f\u793e\u533a\u4e0b\u8f7dDevkit<\/p>\n<p>\u9cb2\u9e4fDevKit\u5f00\u53d1\u5957\u4ef6-\u5b66\u4e60\u8d44\u6e90-\u9cb2\u9e4f\u793e\u533a<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"921\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091055-6811e91f34e3c.png\" width=\"1873\" \/><\/p>\n<p>\u9009\u62e9\u7acb\u5373\u4e0b\u8f7d&#xff0c;\u7136\u540e\u89e3\u538b\u5b89\u88c5\u5305&#xff0c;\u5176\u4e2d\u201cx.x.x\u201d\u8868\u793a\u7248\u672c\u53f7&#xff0c;\u8bf7\u7528\u5b9e\u9645\u60c5\u51b5\u4ee3\u66ff<\/p>\n<p>tar &#8211;no-same-owner -zxvf DevKit-All-x.x.x-Linux-Kunpeng.tar.gz <\/p>\n<p>\u5b89\u88c5 &#xff0c;\u5176\u4e2d\u201cx.x.x\u201d\u8868\u793a\u7248\u672c\u53f7&#xff0c;\u8bf7\u7528\u5b9e\u9645\u60c5\u51b5\u4ee3\u66ff<\/p>\n<p>cd DevKit-All-x.x.x-Linux-Kunpeng<br \/>\n.\/install.sh<\/p>\n<p>\u5b89\u88c5\u8fc7\u7a0b\u4e2d\u6709\u5f88\u591a\u914d\u7f6e&#xff0c;\u5177\u4f53\u89c1\u5b98\u65b9\u6587\u6863&#xff1a;\u5b89\u88c5-\u5b89\u88c5\u9cb2\u9e4fDevKit-WebUI-\u7528\u6237\u6307\u5357-\u9cb2\u9e4f\u5f00\u53d1\u5957\u4ef6\u5f00\u53d1\u6587\u6863-\u9cb2\u9e4f\u793e\u533a<\/p>\n<p>\u5b89\u88c5\u540e\u901a\u8fc7IP:8086\u8bbf\u95eeWEBUI<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"921\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091056-6811e9200352f.png\" width=\"1873\" \/><\/p>\n<p>\u901a\u8fc7devadmin\u548c\u5b89\u88c5\u8fc7\u7a0b\u4e2d\u8bbe\u7f6e\u7684\u5bc6\u7801\u767b\u5f55<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"921\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091057-6811e9213cae1.png\" width=\"1873\" \/><\/p>\n<p>\u53ef\u901a\u8fc7\u5e94\u7528\u8bc4\u4f30&#xff0c;\u9009\u62e9\u5bf9\u5e94\u64cd\u4f5c\u7cfb\u7edf&#xff0c;\u7f16\u8bd1\u5668\u7248\u672c\u989d\u6784\u5efa\u5de5\u5177\u7b49&#xff0c;\u4e0a\u4f20\u6e90\u7801\u67e5\u770b\u5e94\u7528\u8fc1\u79fb\u5efa\u8bae<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"921\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091057-6811e921e6bae.png\" width=\"1873\" \/><\/p>\n<p>\u626b\u63cf\u5b8c\u6210\u540e&#xff0c;\u67e5\u770b\u4f9d\u8d56\u5e93\u53ef\u6e90\u7801\u4fee\u6539\u5efa\u8bae<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"921\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091058-6811e9229c481.png\" width=\"1873\" \/><\/p>\n<p>\u6309\u7167\u5efa\u8bae\u4e0b\u8f7d\u5bf9\u5e94\u5e93\u548c\u4fee\u6539\u6e90\u7801\u3002<\/p>\n<h2>6.\u52a0\u901f\u5e93\u66ff\u4ee3<\/h2>\n<p>\u5728\u7a0b\u5e8f\u4e2d\u4f7f\u7528\u4e86\u5927\u91cfIntel\u76f8\u5173\u52a0\u901f\u5e93&#xff0c;\u5982ipp\u5e93<\/p>\n<table cellspacing=\"0\" style=\"width:188pt\">\n<tbody>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle;width:188pt\">Intel-ipp\u5e93\u63a5\u53e3\u5b9a\u4e49<\/td>\n<td style=\"height:14.25pt;vertical-align:middle;width:188pt\">\u51fd\u6570\u63a5\u53e3\u5b9a\u4e49<\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle;width:188pt\"><span style=\"color:black\">pp8u\u3001Ipp32f\u3001Ipp32fc\u7b49<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle;width:188pt\"><span style=\"color:black\">\u6570\u636e\u7c7b\u578b:<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsMalloc_32f\u7b49<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">\u5f00\u8f9f\u7a7a\u95f4\u51fd\u6570<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsFree<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">\u7a7a\u95f4\u91ca\u653e\u51fd\u6570<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsMeanStdDev_64f\u7b49<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\">\u5747\u503c\u65b9\u5dee\u8ba1\u7b97<\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsSortAscend_64f_I\u7b49<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\">\u6392\u5e8f<\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsReplaceNAN_32f_I\u7b49<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\">\u66ff\u6362\u65e0\u6548\u503c<\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsCplxToReal_32fc\u7b49<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\">FFT\u76f8\u5173<\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsPowerSpectr_32f\u7b49<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\">FFT\u76f8\u5173<\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsCopy_64fc\u7b49<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\">FFT\u76f8\u5173<\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsRealToCplx_64f<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\">FFT\u76f8\u5173<\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsCplxToReal_64fc<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\">FFT\u76f8\u5173<\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsDFTInit_C_64fc<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\">FFT\u76f8\u5173<\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsDFTFwd_CToC_64fc<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\">FFT\u76f8\u5173<\/td>\n<\/tr>\n<tr>\n<td style=\"height:14.25pt;vertical-align:middle\"><span style=\"color:black\">ippsFFTFwd_CToC_64fc<\/span><\/td>\n<td style=\"height:14.25pt;vertical-align:middle\">FFT\u76f8\u5173<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u53c2\u8003\u6587\u6863\u5b9a\u4e49&#xff0c;intel-ipp\u5e93\u4e13\u4e3aintel\u670d\u52a1\u5668\u8bbe\u8ba1&#xff0c;\u9cb2\u9e4f\u57fa\u4e8e\u9cb2\u9e4f\u5904\u7406\u5668&#xff0c;\u8fd9\u4e9b\u51fd\u6570\u5168\u90e8\u8981\u91cd\u65b0\u66ff\u4ee3&#xff0c;\u67e5\u770b\u9cb2\u9e4f\u670d\u52a1\u5668\u76f8\u5173\u6587\u6863\u3001\u53d1\u73b0\u9cb2\u9e4f\u670d\u52a1\u5668\u5728FFT\u7684\u8ba1\u7b97\u4e0a\u6709KML-FFT\u5e93\u53ef\u5bf9FFT\u8fdb\u884c\u52a0\u901f\u8ba1\u7b97\u3002<\/p>\n<p>\u51fd\u6570\u8bf4\u660e-KML_FFT\u5e93\u51fd\u6570\u8bf4\u660e-\u57fa\u7840\u6570\u5b66\u5e93-\u9cb2\u9e4f\u6570\u5b66\u5e93 \u5f00\u53d1\u6307\u5357-\u5f00\u53d1\u6307\u5357-HPCKit-\u9cb2\u9e4fHPC\u5f00\u53d1\u6587\u6863-\u9cb2\u9e4f\u793e\u533a<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"921\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091059-6811e92357f82.png\" width=\"1873\" \/><\/p>\n<p>\u5f97\u3001\u7a7a\u95f4\u5f00\u8f9f\u7528C&#043;&#043;\u6807\u51c6\u5e93\u66ff\u4ee3&#xff0c;\u6c42\u548c\u65b9\u5dee\u7b49\u53ef\u901a\u8fc7std\u5e93\u641e\u5b9a&#xff0c;\u5176\u4ed6\u7684\u901a\u8fc7KML-FFT\u66ff\u6362\u3002<\/p>\n<p>\u73b0\u5728\u8981\u6d4b\u8bd5\u4e0bIntel\u76f8\u5173\u51fd\u6570\u4e0e\u6807\u51c6c&#043;&#043;\u63d0\u5347\u4e86\u591a\u5c11\u5462&#xff0c;\u4ee3\u7801\u5982\u4e0b&#xff1a;<\/p>\n<p>#include &lt;QCoreApplication&gt;<br \/>\n#include &lt;QElapsedTimer&gt;<br \/>\n#include &lt;iostream&gt;<br \/>\n#include &#034;.\/Include\/ipp\/ipp.h&#034;<br \/>\n#include &lt;cstring&gt; \/\/ \u6807\u51c6\u5e93\u51fd\u6570<br \/>\n#include &lt;random&gt;<br \/>\n#include &lt;algorithm&gt;<br \/>\n#include &lt;iterator&gt;<\/p>\n<p>\/\/ Windows\u73af\u5883\u9700\u8981\u663e\u5f0f\u94fe\u63a5IPP\u5e93<br \/>\n#pragma comment(lib, &#034;ippsmt.lib&#034;)<br \/>\n#pragma comment(lib, &#034;ippcoremt.lib&#034;)<\/p>\n<p>constexpr int SIZE &#061; 1 &lt;&lt; 20;   \/\/ 1MB\u6570\u636e&#xff08;262,144\u4e2afloat&#xff09;<br \/>\nconstexpr int TRIALS &#061; 1000;    \/\/ \u6d4b\u8bd5\u6b21\u6570<\/p>\n<p>\/\/ \u6d4b\u8bd5IPP\u51fd\u6570<br \/>\nvoid testIPP() {<br \/>\n    Ipp32f* src &#061; nullptr, * dst &#061; nullptr;<br \/>\n    QElapsedTimer timer;<\/p>\n<p>    \/\/ \u5185\u5b58\u5206\u914d<br \/>\n    timer.start();<br \/>\n    for (int i &#061; 0; i &lt; TRIALS; &#043;&#043;i) {<br \/>\n        src &#061; ippsMalloc_32f(SIZE);<br \/>\n        ippsFree(src);<br \/>\n    }<br \/>\n    auto mallocTime &#061; timer.nsecsElapsed() \/ TRIALS;<\/p>\n<p>    \/\/ \u5185\u5b58\u8d4b\u503c<br \/>\n    src &#061; ippsMalloc_32f(SIZE);<br \/>\n    timer.start();<br \/>\n    for (int i &#061; 0; i &lt; TRIALS; &#043;&#043;i) {<br \/>\n        ippsSet_32f(3.14159f, src, SIZE);<br \/>\n    }<br \/>\n    auto setTime &#061; timer.nsecsElapsed() \/ TRIALS;<br \/>\n    ippsFree(src);<\/p>\n<p>    \/\/ \u5185\u5b58\u7f6e\u96f6<br \/>\n    src &#061; ippsMalloc_32f(SIZE);<br \/>\n    timer.start();<br \/>\n    for (int i &#061; 0; i &lt; TRIALS; &#043;&#043;i) {<br \/>\n        ippsZero_32f(src, SIZE);<br \/>\n    }<br \/>\n    auto zeroTime &#061; timer.nsecsElapsed() \/ TRIALS;<br \/>\n    ippsFree(src);<\/p>\n<p>    \/\/ \u5185\u5b58\u62f7\u8d1d<br \/>\n    src &#061; ippsMalloc_32f(SIZE);<br \/>\n    dst &#061; ippsMalloc_32f(SIZE);<br \/>\n    ippsSet_32f(2.71828f, src, SIZE);<br \/>\n    timer.start();<br \/>\n    for (int i &#061; 0; i &lt; TRIALS; &#043;&#043;i) {<br \/>\n        ippsCopy_32f(src, dst, SIZE);<br \/>\n    }<br \/>\n    auto copyTime &#061; timer.nsecsElapsed() \/ TRIALS;<br \/>\n    ippsFree(src);<br \/>\n    ippsFree(dst);<\/p>\n<p>    std::cout &lt;&lt; &#034;[IPP] Malloc: &#034; &lt;&lt; mallocTime &lt;&lt; &#034; ns\\\\n&#034;<br \/>\n        &lt;&lt; &#034;[IPP] Set:    &#034; &lt;&lt; setTime &lt;&lt; &#034; ns\\\\n&#034;<br \/>\n        &lt;&lt; &#034;[IPP] Zero:   &#034; &lt;&lt; zeroTime &lt;&lt; &#034; ns\\\\n&#034;<br \/>\n        &lt;&lt; &#034;[IPP] Copy:   &#034; &lt;&lt; copyTime &lt;&lt; &#034; ns\\\\n&#034;;<br \/>\n}<\/p>\n<p>\/\/ \u6d4b\u8bd5\u6807\u51c6\u5e93<br \/>\nvoid testSTD() {<br \/>\n    float* src &#061; nullptr, * dst &#061; nullptr;<br \/>\n    QElapsedTimer timer;<\/p>\n<p>    \/\/ \u5185\u5b58\u5206\u914d<br \/>\n    timer.start();<br \/>\n    for (int i &#061; 0; i &lt; TRIALS; &#043;&#043;i) {<br \/>\n        src &#061; new float[SIZE];<br \/>\n        delete[] src;<br \/>\n    }<br \/>\n    auto mallocTime &#061; timer.nsecsElapsed() \/ TRIALS;<\/p>\n<p>    \/\/ \u5185\u5b58\u8d4b\u503c&#xff08;\u5faa\u73af&#xff09;<br \/>\n    src &#061; new float[SIZE];<br \/>\n    timer.start();<br \/>\n    for (int i &#061; 0; i &lt; TRIALS; &#043;&#043;i) {<br \/>\n#pragma omp simd for<br \/>\n        for (int i &#061; 0; i &lt; SIZE; &#043;&#043;i)<br \/>\n            src[i] &#061; 3.14159f;<br \/>\n        \/\/std::fill_n(src, SIZE, 3.14159f);<br \/>\n    }<br \/>\n    auto setTime &#061; timer.nsecsElapsed() \/ TRIALS;<br \/>\n    delete[] src;<\/p>\n<p>    \/\/ \u5185\u5b58\u7f6e\u96f6&#xff08;memset&#xff09;<br \/>\n    src &#061; new float[SIZE];<br \/>\n    timer.start();<br \/>\n    for (int i &#061; 0; i &lt; TRIALS; &#043;&#043;i) {<br \/>\n        memset(src, 0, SIZE * sizeof(float));<br \/>\n    }<br \/>\n    auto zeroTime &#061; timer.nsecsElapsed() \/ TRIALS;<br \/>\n    delete[] src;<\/p>\n<p>    \/\/ \u5185\u5b58\u62f7\u8d1d&#xff08;memcpy&#xff09;<br \/>\n    src &#061; new float[SIZE];<br \/>\n    dst &#061; new float[SIZE];<br \/>\n    memset(src, 0, SIZE * sizeof(float));<br \/>\n    timer.start();<br \/>\n    for (int i &#061; 0; i &lt; TRIALS; &#043;&#043;i) {<br \/>\n        memcpy(dst, src, SIZE * sizeof(float));<br \/>\n    }<br \/>\n    auto copyTime &#061; timer.nsecsElapsed() \/ TRIALS;<br \/>\n    delete[] src;<br \/>\n    delete[] dst;<\/p>\n<p>    std::cout &lt;&lt; &#034;[STD] Malloc: &#034; &lt;&lt; mallocTime &lt;&lt; &#034; ns\\\\n&#034;<br \/>\n        &lt;&lt; &#034;[STD] Set:    &#034; &lt;&lt; setTime &lt;&lt; &#034; ns\\\\n&#034;<br \/>\n        &lt;&lt; &#034;[STD] Zero:   &#034; &lt;&lt; zeroTime &lt;&lt; &#034; ns\\\\n&#034;<br \/>\n        &lt;&lt; &#034;[STD] Copy:   &#034; &lt;&lt; copyTime &lt;&lt; &#034; ns\\\\n&#034;;<br \/>\n}<\/p>\n<p>\/\/ \u751f\u6210\u968f\u673a\u6d6e\u70b9\u6570\u7ec4<br \/>\nvoid generateRandomData(float* data, size_t size) {<br \/>\n    std::random_device rd;<br \/>\n    std::mt19937 gen(rd());<br \/>\n    std::uniform_real_distribution&lt;float&gt; dist(0.0f, 1000.0f);<br \/>\n    for (size_t i &#061; 0; i &lt; size; &#043;&#043;i) {<br \/>\n        data[i] &#061; dist(gen);<br \/>\n    }<br \/>\n}<\/p>\n<p>\/\/ \u6807\u51c6\u5e93\u8ba1\u7b97\u5747\u503c\u4e0e\u6807\u51c6\u5dee<br \/>\nvoid stdMeanStdDev(const float* data, size_t size, float&amp; mean, float&amp; stdDev) {<br \/>\n    double sum &#061; 0.0, sumSq &#061; 0.0;<br \/>\n    for (size_t i &#061; 0; i &lt; size; &#043;&#043;i) {<br \/>\n        sum &#043;&#061; data[i];<br \/>\n        sumSq &#043;&#061; data[i] * data[i];<br \/>\n    }<br \/>\n    mean &#061; sum \/ size;<br \/>\n    stdDev &#061; std::sqrt((sumSq &#8211; sum * sum \/ size) \/ (size &#8211; 1)); \/\/ \u6837\u672c\u6807\u51c6\u5dee<br \/>\n}<\/p>\n<p>\/\/ \u6027\u80fd\u6d4b\u8bd5\u4e3b\u51fd\u6570<br \/>\nvoid performanceTest(size_t dataSize, int iterations) {<br \/>\n    \/\/ \u5185\u5b58\u5206\u914d\u4e0e\u6570\u636e\u521d\u59cb\u5316<br \/>\n    Ipp32f* ippData &#061; ippsMalloc_32f(dataSize);<br \/>\n    std::vector&lt;float&gt; stdData(dataSize);<br \/>\n    generateRandomData(ippData, dataSize);<br \/>\n    std::copy(ippData, ippData &#043; dataSize, stdData.begin());<\/p>\n<p>    \/\/ \u9884\u70ed\u7f13\u5b58&#xff08;\u53ef\u9009&#xff09;<br \/>\n    std::sort(stdData.begin(), stdData.end());<\/p>\n<p>    \/\/ \u6d4b\u8bd5\u6392\u5e8f\u6027\u80fd<br \/>\n    auto start &#061; std::chrono::high_resolution_clock::now();<br \/>\n    for (int i &#061; 0; i &lt; iterations; &#043;&#043;i) {<br \/>\n        ippsSortAscend_32f_I(ippData, dataSize); \/\/ IPP\u539f\u5730\u6392\u5e8f<br \/>\n    }<br \/>\n    auto ippSortTime &#061; std::chrono::duration_cast&lt;std::chrono::milliseconds&gt;(<br \/>\n        std::chrono::high_resolution_clock::now() &#8211; start<br \/>\n    ).count();<\/p>\n<p>    start &#061; std::chrono::high_resolution_clock::now();<br \/>\n    for (int i &#061; 0; i &lt; iterations; &#043;&#043;i) {<br \/>\n        std::sort(stdData.begin(), stdData.end()); \/\/ \u6807\u51c6\u5e93\u6392\u5e8f<br \/>\n    }<br \/>\n    auto stdSortTime &#061; std::chrono::duration_cast&lt;std::chrono::milliseconds&gt;(<br \/>\n        std::chrono::high_resolution_clock::now() &#8211; start<br \/>\n    ).count();<\/p>\n<p>    \/\/ \u6d4b\u8bd5\u5747\u503c\u4e0e\u6807\u51c6\u5dee\u8ba1\u7b97\u6027\u80fd<br \/>\n    float ippMean, ippStdDev;<br \/>\n    start &#061; std::chrono::high_resolution_clock::now();<br \/>\n    for (int i &#061; 0; i &lt; iterations; &#043;&#043;i) {<br \/>\n        ippsMeanStdDev_32f(ippData, dataSize, &amp;ippMean, &amp;ippStdDev, ippAlgHintFast); \/\/ IPP\u8ba1\u7b97<br \/>\n    }<br \/>\n    auto ippStatTime &#061; std::chrono::duration_cast&lt;std::chrono::milliseconds&gt;(<br \/>\n        std::chrono::high_resolution_clock::now() &#8211; start<br \/>\n    ).count();<\/p>\n<p>    float stdMean, stdStdDev;<br \/>\n    start &#061; std::chrono::high_resolution_clock::now();<br \/>\n    for (int i &#061; 0; i &lt; iterations; &#043;&#043;i) {<br \/>\n        stdMeanStdDev(stdData.data(), dataSize, stdMean, stdStdDev); \/\/ \u6807\u51c6\u5e93\u8ba1\u7b97<br \/>\n    }<br \/>\n    auto stdStatTime &#061; std::chrono::duration_cast&lt;std::chrono::milliseconds&gt;(<br \/>\n        std::chrono::high_resolution_clock::now() &#8211; start<br \/>\n    ).count();<\/p>\n<p>    \/\/ \u8f93\u51fa\u7ed3\u679c<br \/>\n    std::cout &lt;&lt; &#034;&#061;&#061;&#061;&#061;&#061; \u6027\u80fd\u5bf9\u6bd4 (\u6570\u636e\u91cf: &#034; &lt;&lt; dataSize &lt;&lt; &#034;, \u8fed\u4ee3\u6b21\u6570: &#034; &lt;&lt; iterations &lt;&lt; &#034;) &#061;&#061;&#061;&#061;&#061;\\\\n&#034;;<br \/>\n    std::cout &lt;&lt; &#034;\u6392\u5e8f:\\\\n&#034;<br \/>\n        &lt;&lt; &#034;  IPP ippsSortAscend_32f_I: &#034; &lt;&lt; ippSortTime &lt;&lt; &#034; ms\\\\n&#034;<br \/>\n        &lt;&lt; &#034;  std::sort:                &#034; &lt;&lt; stdSortTime &lt;&lt; &#034; ms\\\\n&#034;;<br \/>\n    std::cout &lt;&lt; &#034;\u7edf\u8ba1\u8ba1\u7b97:\\\\n&#034;<br \/>\n        &lt;&lt; &#034;  IPP ippsMeanStdDev_32f:    &#034; &lt;&lt; ippStatTime &lt;&lt; &#034; ms\\\\n&#034;<br \/>\n        &lt;&lt; &#034;  \u6807\u51c6\u5e93\u5b9e\u73b0:                &#034; &lt;&lt; stdStatTime &lt;&lt; &#034; ms\\\\n&#034;;<\/p>\n<p>    ippsFree(ippData);<br \/>\n}<\/p>\n<p>int main(int argc, char* argv[])<br \/>\n{<br \/>\n    QCoreApplication a(argc, argv);<\/p>\n<p>    std::cout &lt;&lt; &#034;&#061;&#061;&#061; Intel IPP Performance &#061;&#061;&#061;\\\\n&#034;;<br \/>\n    testIPP();<\/p>\n<p>    std::cout &lt;&lt; &#034;\\\\n&#061;&#061;&#061; Standard Library Performance &#061;&#061;&#061;\\\\n&#034;;<br \/>\n    testSTD();<\/p>\n<p>    performanceTest(1e6, 10);  \/\/ \u6d4b\u8bd5100\u4e07\u6570\u636e&#xff0c;\u8fed\u4ee310\u6b21<br \/>\n    return 0;<br \/>\n} <\/p>\n<p>\u4f7f\u75281000\u6b21\u5bf91MB\u6570\u636e&#xff08;262,144\u4e2afloat&#xff09;\u7684\u6548\u7387\u5bf9\u6bd4\u3002\u5bf9\u6bd4\u7ed3\u679c\u5982\u4e0b&#xff1a;<\/p>\n<p>Windows\u7cfb\u7edfDebug\u6a21\u5f0f<\/p>\n<p>&#061;&#061;&#061; Intel IPP Performance &#061;&#061;&#061;<br \/>\n[IPP] Malloc: 1293522 ns<br \/>\n[IPP] Set: \u00a0 \u00a0174418 ns<br \/>\n[IPP] Zero: \u00a0 94937 ns<br \/>\n[IPP] Copy: \u00a0 501033 ns<br \/>\n\u00a0<br \/>\n&#061;&#061;&#061; Standard Library Performance &#061;&#061;&#061;<br \/>\n[STD] Malloc: 1202868 ns<br \/>\n[STD] Set: \u00a0 \u00a01940080 ns<br \/>\n[STD] Zero: \u00a0 93922 ns<br \/>\n[STD] Copy: \u00a0 190766 ns<br \/>\n&#061;&#061;&#061;&#061;&#061; \u6027\u80fd\u5bf9\u6bd4 (\u6570\u636e\u91cf: 1000000, \u8fed\u4ee3\u6b21\u6570: 10) &#061;&#061;&#061;&#061;&#061;<br \/>\n\u6392\u5e8f:<br \/>\n\u00a0 IPP ippsSortAscend_32f_I: 240 ms<br \/>\n\u00a0 std::sort: \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a01404 ms<br \/>\n\u7edf\u8ba1\u8ba1\u7b97:<br \/>\n\u00a0 IPP ippsMeanStdDev_32f: \u00a0 \u00a02 ms<br \/>\n\u00a0 \u6807\u51c6\u5e93\u5b9e\u73b0: \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a026 ms<br \/>\n\u00a0<br \/>\nF:\\\\Workspace\\\\Code\\\\Qt\\\\TestIntelIpps\\\\x64\\\\Debug\\\\TestIntelIpps.exe (\u8fdb\u7a0b 21008)\u5df2\u9000\u51fa&#xff0c;\u4ee3\u7801\u4e3a 0 (0x0)\u3002<br \/>\n\u8981\u5728\u8c03\u8bd5\u505c\u6b62\u65f6\u81ea\u52a8\u5173\u95ed\u63a7\u5236\u53f0&#xff0c;\u8bf7\u542f\u7528\u201c\u5de5\u5177\u201d-&gt;\u201c\u9009\u9879\u201d-&gt;\u201c\u8c03\u8bd5\u201d-&gt;\u201c\u8c03\u8bd5\u505c\u6b62\u65f6\u81ea\u52a8\u5173\u95ed\u63a7\u5236\u53f0\u201d\u3002<br \/>\n\u6309\u4efb\u610f\u952e\u5173\u95ed\u6b64\u7a97\u53e3. . . <\/p>\n<p>Windows\u7cfb\u7edfRelease\u6a21\u5f0f<\/p>\n<p>&#061;&#061;&#061; Intel IPP Performance &#061;&#061;&#061;<br \/>\n[IPP] Malloc: 48886 ns<br \/>\n[IPP] Set: \u00a0 \u00a0301834 ns<br \/>\n[IPP] Zero: \u00a0 87169 ns<br \/>\n[IPP] Copy: \u00a0 544983 ns<br \/>\n\u00a0<br \/>\n&#061;&#061;&#061; Standard Library Performance &#061;&#061;&#061;<br \/>\n[STD] Malloc: 44820 ns<br \/>\n[STD] Set: \u00a0 \u00a0710 ns<br \/>\n[STD] Zero: \u00a0 85777 ns<br \/>\n[STD] Copy: \u00a0 211307 ns<br \/>\n&#061;&#061;&#061;&#061;&#061; \u6027\u80fd\u5bf9\u6bd4 (\u6570\u636e\u91cf: 1000000, \u8fed\u4ee3\u6b21\u6570: 10) &#061;&#061;&#061;&#061;&#061;<br \/>\n\u6392\u5e8f:<br \/>\n\u00a0 IPP ippsSortAscend_32f_I: 229 ms<br \/>\n\u00a0 std::sort: \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0109 ms<br \/>\n\u7edf\u8ba1\u8ba1\u7b97:<br \/>\n\u00a0 IPP ippsMeanStdDev_32f: \u00a0 \u00a03 ms<br \/>\n\u00a0 \u6807\u51c6\u5e93\u5b9e\u73b0: \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a00 ms<br \/>\n\u00a0<br \/>\nF:\\\\Workspace\\\\Code\\\\Qt\\\\TestIntelIpps\\\\x64\\\\Release\\\\TestIntelIpps.exe (\u8fdb\u7a0b 26764)\u5df2\u9000\u51fa&#xff0c;\u4ee3\u7801\u4e3a 0 (0x0)\u3002<br \/>\n\u8981\u5728\u8c03\u8bd5\u505c\u6b62\u65f6\u81ea\u52a8\u5173\u95ed\u63a7\u5236\u53f0&#xff0c;\u8bf7\u542f\u7528\u201c\u5de5\u5177\u201d-&gt;\u201c\u9009\u9879\u201d-&gt;\u201c\u8c03\u8bd5\u201d-&gt;\u201c\u8c03\u8bd5\u505c\u6b62\u65f6\u81ea\u52a8\u5173\u95ed\u63a7\u5236\u53f0\u201d\u3002<br \/>\n\u6309\u4efb\u610f\u952e\u5173\u95ed\u6b64\u7a97\u53e3. . . <\/p>\n<p>Linux\u7cfb\u7edf(Centos 7.9) Debug\u6a21\u5f0f<\/p>\n<p>&#061;&#061;&#061; Intel IPP Performance &#061;&#061;&#061;<br \/>\n[IPP] Malloc: 350 ns<br \/>\n[IPP] Set: \u00a0 \u00a0206298 ns<br \/>\n[IPP] Zero: \u00a0 104632 ns<br \/>\n[IPP] Copy: \u00a0 766895 ns<br \/>\n\u00a0<br \/>\n&#061;&#061;&#061; Standard Library Performance &#061;&#061;&#061;<br \/>\n[STD] Malloc: 145 ns<br \/>\n[STD] Set: \u00a0 \u00a02213560 ns<br \/>\n[STD] Zero: \u00a0 143366 ns<br \/>\n[STD] Copy: \u00a0 837936 ns<br \/>\n&#061;&#061;&#061;&#061;&#061; \u6027\u80fd\u5bf9\u6bd4 (\u6570\u636e\u91cf: 1000000, \u8fed\u4ee3\u6b21\u6570: 10) &#061;&#061;&#061;&#061;&#061;<br \/>\n\u6392\u5e8f:<br \/>\n\u00a0 IPP ippsSortAscend_32f_I: 300 ms<br \/>\n\u00a0 std::sort: \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a01437 ms<br \/>\n\u7edf\u8ba1\u8ba1\u7b97:<br \/>\n\u00a0 IPP ippsMeanStdDev_32f: \u00a0 \u00a03 ms<br \/>\n\u00a0 \u6807\u51c6\u5e93\u5b9e\u73b0: \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a031 ms<br \/>\n\u6309 &lt;RETURN&gt; \u6765\u5173\u95ed\u7a97\u53e3&#8230;<br \/>\n\u00a0\u00a0 <\/p>\n<p> \u00a0<\/p>\n<p>Linux\u7cfb\u7edf(Centos 7.9) Release\u6a21\u5f0f<\/p>\n<p>\u00a0<\/p>\n<p>&#061;&#061;&#061; Intel IPP Performance &#061;&#061;&#061;<br \/>\n[IPP] Malloc: 214 ns<br \/>\n[IPP] Set: \u00a0 \u00a0230157 ns<br \/>\n[IPP] Zero: \u00a0 88688 ns<br \/>\n[IPP] Copy: \u00a0 509544 ns<br \/>\n\u00a0<br \/>\n&#061;&#061;&#061; Standard Library Performance &#061;&#061;&#061;<br \/>\n[STD] Malloc: 42 ns<br \/>\n[STD] Set: \u00a0 \u00a0725504 ns<br \/>\n[STD] Zero: \u00a0 274262 ns<br \/>\n[STD] Copy: \u00a0 614060 ns<br \/>\n&#061;&#061;&#061;&#061;&#061; \u6027\u80fd\u5bf9\u6bd4 (\u6570\u636e\u91cf: 1000000, \u8fed\u4ee3\u6b21\u6570: 10) &#061;&#061;&#061;&#061;&#061;<br \/>\n\u6392\u5e8f:<br \/>\n\u00a0 IPP ippsSortAscend_32f_I: 231 ms<br \/>\n\u00a0 std::sort: \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0109 ms<br \/>\n\u7edf\u8ba1\u8ba1\u7b97:<br \/>\n\u00a0 IPP ippsMeanStdDev_32f: \u00a0 \u00a03 ms<br \/>\n\u00a0 \u6807\u51c6\u5e93\u5b9e\u73b0: \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a012 ms<br \/>\n\u6309 &lt;RETURN&gt; \u6765\u5173\u95ed\u7a97\u53e3&#8230; <\/p>\n<p>\u672c\u673a\u7cfb\u7edf\u4e3aWindows 11 \u4e13\u4e1a\u7248 24H2 CPU\u7c7b\u578b\u4e3aIntel(R) Core(TM) i7-7700 CPU &#064; 3.60GHz \u00a0 3.60 GHz\u3002<\/p>\n<p>\u7efc\u5408\u5bf9\u6bd4\u4e0b\u6765&#xff0c;\u9664Set\u5916\u3001\u5176\u4f59\u51fd\u6570\u6807\u51c6\u5e93\u4f18\u5316\u76f8\u5f53\u4e0d\u9519\u3002\u63a5\u8fd1\u4e0eIPP\u5e93\u7684\u6027\u80fd\u3002\u800cSET\u51fd\u6570IPP\u5e93\u670910\u500d\u4ee5\u4e0a\u7684\u901f\u5ea6\u63d0\u5347\u3002<\/p>\n<p>\u597d\u50cf\u4e5f\u53ef\u4ee5\u63a5\u53d7&#xff0c;\u63a5\u4e0b\u4e0b\u5f00\u59cb\u9a8c\u8bc1FFT\u3002<\/p>\n<p>\u67e5\u770b\u5b98\u7f51\u8bf4\u660e&#xff0c;\u5929\u584c\u4e86<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"425\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091100-6811e92413f09.png\" width=\"865\" \/><\/p>\n<p>\u4e0d\u884c&#xff0c;\u7d27\u6025\u793e\u533a\u6c42\u52a9\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"689\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091100-6811e9245590e.png\" width=\"1384\" \/><\/p>\n<p>\u67e5\u770b\u672c\u673a\u670d\u52a1\u5668<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"850\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091100-6811e924bd002.png\" width=\"1142\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"552\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091101-6811e925a5f07.png\" width=\"1365\" \/><\/p>\n<p>\u7b49\u7b49&#xff0c;\u8fd9\u91cc\u597d\u50cf\u662fkml_fft\u5f00\u5934\u63a5\u53e3,\u800c\u6587\u6863\u8bf4\u7684\u662fkml_ffth,\u662f\u4e0d\u662f\u8fd9\u91cc\u4e0d\u5c55\u793a\u8fd8\u662f\u5199\u9519\u4e86&#xff0c;\u7ee7\u7eed\u8ffd\u95ee<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"921\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091102-6811e92608a5a.png\" width=\"1873\" \/><\/p>\n<p>\u6574\u4e2a\u8bb0\u5f55\u5982\u4e0b&#xff1a;<\/p>\n<p>\u5de5\u5355\u8be6\u60c5-\u9cb2\u9e4f\u793e\u533a<\/p>\n<p>\u5f97\u5230\u652f\u6301\u7684\u56de\u590d\u3001\u63a5\u4e0b\u6765\u9a8c\u8bc1FFT\u7ed3\u679c\u5427&#xff0c;\u4ee3\u7801\u5982\u4e0b&#xff1a;<\/p>\n<p>    int rank &#061; 2;<br \/>\n    int *n;<br \/>\n    n &#061; (int*)kml_fft_malloc(sizeof(int) * rank);<br \/>\n    n[0] &#061; 2;<br \/>\n    n[1] &#061; 3;<br \/>\n    double init[6][2] &#061; {{120, 0}, {8, 8}, {0, 0}, {0, 16}, {0, 16}, {-8, 8}};<br \/>\n    kml_fft_complex *in;<br \/>\n    in &#061; (kml_fft_complex*)kml_fft_malloc(sizeof(kml_fft_complex) * n[0] * n[1]);<br \/>\n    for (int i &#061; 0; i &lt; n[0] * n[1]; i&#043;&#043;) {<br \/>\n        in[i][0] &#061; init[i][0];<br \/>\n        in[i][1] &#061; init[i][1];<br \/>\n    }<br \/>\n    kml_fft_complex *out;<br \/>\n    out &#061; (kml_fft_complex*)kml_fft_malloc(sizeof(kml_fft_complex) * n[0] * n[1]);<br \/>\n    kml_fft_plan plan;<br \/>\n    plan &#061; kml_fft_plan_dft(rank, n, in, out, KML_FFT_FORWARD, KML_FFT_ESTIMATE);<br \/>\n    kml_fft_execute_dft(plan, in, out); <\/p>\n<p>    kml_fft_destroy_plan(plan);<br \/>\n    kml_fft_free(n);<br \/>\n    kml_fft_free(in);<br \/>\n    kml_fft_free(out); <\/p>\n<p>    \/*<br \/>\n     * out &#061; {{1.200000e&#043;02, 4.800000e&#043;01}, {1.338564e&#043;02, -1.385641e&#043;01},<br \/>\n     *        {1.061436e&#043;02, 1.385641e&#043;01}, {1.360000e&#043;02, -3.200000e&#043;01},<br \/>\n     *        {1.120000e&#043;02, -8.000000e&#043;00}, {1.120000e&#043;02, -8.000000e&#043;00}}<br \/>\n     *\/ <\/p>\n<p>\u4fdd\u5b58\u7ed3\u679c\u6587\u4ef6\u4f7f\u7528matlab\u9a8c\u8bc1&#xff0c;matlab\u4ee3\u7801\u5982\u4e0b&#xff1a;<\/p>\n<p>clear; clc;<\/p>\n<p>data &#061; importdata(&#039;F:\\\\Workspace\\\\input_signal.txt&#039;);  % \u5feb\u901f\u8bfb\u53d6\u6570\u503c\u77e9\u9635[6](&#064;ref)<\/p>\n<p>M &#061; data(:,1)&#043;1j*data(:,2);<\/p>\n<p>CV &#061; abs(fft(M));<\/p>\n<p>data1 &#061; importdata(&#039;F:\\\\Workspace\\\\fft_output.txt&#039;);  % \u5feb\u901f\u8bfb\u53d6\u6570\u503c\u77e9\u9635[6](&#064;ref)<\/p>\n<p>M1 &#061; data1(:,1)&#043;1j*data1(:,2);<\/p>\n<p>CV1 &#061; abs(M1);<\/p>\n<p>plot(1:1024,CV,1:1024,CV1); legend(&#039;line1&#039;, &#039;line2&#039;);<\/p>\n<p>\u7ed3\u679c\u5b8c\u5168\u4e00\u81f4&#xff1a;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"465\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250430091102-6811e926b95c7.png\" width=\"865\" 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